Decoupling synchrophasor based control system for multiple distributed energy resources
10714938 ยท 2020-07-14
Assignee
Inventors
- Charles H. Wells (San Diego, CA)
- Raymond A. de Callafon (San Diego, CA)
- Patrick T. Lee (San Diego, CA)
Cpc classification
H02J2300/10
ELECTRICITY
Y02E40/70
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
Y02E60/00
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
Y04S10/00
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
H02J3/38
ELECTRICITY
H02J3/466
ELECTRICITY
Y04S10/22
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
G01R19/2513
PHYSICS
Y02P80/14
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
International classification
H02J3/24
ELECTRICITY
H02J3/46
ELECTRICITY
H02J3/18
ELECTRICITY
H02J3/38
ELECTRICITY
Abstract
Methods, systems, and controllers are described herein for controlling an electrical power system. A time-synchronized measurement of a phasor from one or more phasor measurement units is fed back to a feedback controller. Distributed energy resources of the electrical power system are controlled by the feedback controller using feedback control algorithms by sending, to distributed energy resources, a power setpoint derived from the time-synchronized measurement of the phasor.
Claims
1. A method of controlling an electrical power system comprising: feeding back a synchronized measurement of a phasor or a synchrophasor from one or more measurement units to a feedback controller; and controlling distributed energy resources forming part of the electrical power system with the feedback controller using feedback control algorithms by sending, to the distributed energy resources, a power setpoint derived from the synchronized measurement of the phasor or the synchrophasor.
2. The method of claim 1, wherein the feedback control algorithms comprise linear feedback control algorithms.
3. The method of claim 1, further comprising decoupling the synchronized measurement into a real power component and a reactive power component, or a frequency component and a voltage component.
4. The method of claim 1, wherein the feedback controller is a single variable linear controller.
5. The method of claim 1, wherein the power setpoint comprises a real power setpoint or a reactive power setpoint or a frequency setpoint or a voltage setpoint.
6. The method of claim 1, wherein the phasor comprises a voltage phasor or a current phasor with or without time-synchronization.
7. The method of claim 1, wherein the feeding back comprises feeding back the time-synchronized measurement from multiple level 1 controllers to a level 2 controller, and wherein the feedback controller forms a hierarchical feedback control system.
8. The method of claim 1, wherein the feeding back comprises converting measured current phasors or voltage phasors to real power values or reactive power values.
9. The method of claim 1, wherein the feeding back comprises converting measured real power values or reactive power values to voltages and voltage angle differences between points of interest and the distributed energy resources.
10. The method of claim 1, wherein controlling the distributed energy resources by the feedback controller comprises using a proportional-integral controller combined with a derivative filter to mitigate power grid disturbances, and an output filter to adjust an output setpoint according to a response characteristic of the distributed energy resources.
11. The method of claim 1, wherein controlling the distributed energy resources by the feedback controller comprises using a predictive model to account for system dynamics and transport delay in obtaining the synchronized measurements.
12. The method of claim 1, wherein controlling the distributed energy resources by the feedback controller comprises using a feed forward filter for providing a faster response to immediate set point changes.
13. The method of claim 1, wherein controlling the distributed energy resources comprises computing the power setpoint to achieve a predetermined power control at a Point Of Interest.
14. The method of claim 1, wherein the distributed energy resources comprise a combination of energy generation devices, controllable energy loads, and energy storage devices.
15. The method of claim 1, wherein the synchronized measurement is fed back at a frequency rate up to about 60 Hertz.
16. The method of claim 1, wherein the synchronized measurement is time synchronized using a global positioning system, a Network Time Protocol (NTP), or a Precision Time Protocol (PTP).
17. A system for controlling an electrical power system comprising: at least one controller; memory storing instructions which when executed by the at least one controller result in operations comprising: feeding back a synchronized measurement of a phasor or a synchrophasor from one or more measurement units to a feedback controller; and controlling distributed energy resources forming part of the electrical power system with the feedback controller using feedback control algorithms by sending, to distributed energy resources, a power setpoint derived from the synchronized measurement of the phasor or the synchrophasor.
18. The system of claim 17, wherein the feedback control algorithms comprise linear feedback control algorithms.
19. The system of claim 17, further comprising decoupling the synchronized measurement into a real power component and a reactive power component, or a frequency component and a voltage component.
20. The system of claim 17, wherein the feedback controller is a single variable linear controller.
21. The system of claim 17, wherein the power setpoint comprises a real power setpoint or a reactive power setpoint or a frequency setpoint or a voltage setpoint.
22. The system of claim 17, wherein the phasor comprises a voltage phasor or a current phasor with or without time-synchronization.
23. The system of claim 17, wherein the feeding back comprises feeding back the time-synchronized measurement from multiple level 1 controllers to a level 2 controller, and wherein the feedback controller forms a hierarchical feedback control system.
24. The system of claim 17, wherein the feeding back comprises converting measured current phasors or voltage phasors to real power values or reactive power values.
25. The system of claim 17, wherein the feeding back comprises converting measured real power values or reactive power values to voltages and voltage angle differences between points of interest and the distributed energy resources.
26. The system of claim 17, wherein controlling the distributed energy resources by the feedback controller comprises using a proportional-integral controller combined with a derivative filter to mitigate power grid disturbances, and an output filter to adjust an output setpoint according to a response characteristic of the distributed energy resources.
27. The system of claim 17, wherein controlling the distributed energy resources by the feedback controller comprises using a predictive model to account for system dynamics and transport delay in obtaining the synchronized measurements.
28. The system of claim 17, wherein controlling the distributed energy resources by the feedback controller comprises using a feed forward filter for providing a faster response to immediate set point changes.
29. The system of claim 17, wherein controlling the distributed energy resources comprises computing the power setpoint to achieve a predetermined power control at a Point Of Interest.
30. The system of claim 17, wherein the distributed energy resources comprise a combination of energy generation devices, controllable energy loads, and energy storage devices.
31. The system of claim 17, wherein the synchronized measurement is fed back at a frequency rate up to about 60 Hertz.
32. The system of claim 17, wherein the synchronized measurement is time synchronized using a global positioning system, a Network Time Protocol (NTP) or a Precision Time Protocol (PTP).
33. A controller having computer-readable program instructions, which when executed result in operations comprising: feeding back a synchronized measurement of a phasor or a synchrophasor from one or more measurement units to a feedback controller; and controlling distributed energy resources forming part of an electrical power system by the feedback controller using feedback control algorithms by sending, to the distributed energy resources, a power setpoint derived from the synchronized measurement of the phasor or the synchrophasor.
34. The controller of claim 33, wherein the feedback control algorithms comprise linear feedback control algorithms.
35. The controller of claim 33, further comprising decoupling the time-synchronized measurement into a real power component and a reactive power component, or a frequency component and a voltage component.
36. The controller of claim 33, wherein the feedback controller is a single variable linear controller.
37. The controller of claim 33, wherein the power setpoint comprises a real power setpoint or a reactive power setpoint or a frequency setpoint or a voltage setpoint.
38. The controller of claim 33, wherein the phasor comprises a voltage phasor or a current phasor with or without time-synchronization.
39. The controller of claim 33, wherein the feeding back comprises feeding back the time-synchronized measurement from multiple level 1 controllers to a level 2 controller, and wherein the feedback controller forms a hierarchical feedback control system.
40. The controller of claim 33, wherein the feeding back comprises converting measured current phasors or voltage phasors to real power values or reactive power values.
41. The controller of claim 33, wherein the feeding back comprises converting measured real power values or reactive power values to voltages and voltage angle differences between points of interest and the distributed energy resources.
42. The controller of claim 33, wherein controlling the distributed energy resources by the feedback controller comprises using a proportional-integral controller combined with a derivative filter to mitigate power grid disturbances, and an output filter to adjust an output setpoint according to a response characteristic of the distributed energy resources.
43. The controller of claim 33, wherein controlling the distributed energy resources by the feedback controller comprises using a predictive model to account for system dynamics and transport delay in obtaining the synchronized measurements.
44. The controller of claim 33, wherein controlling the distributed energy resources by the feedback controller comprises using a feed forward filter for providing a faster response to immediate set point changes.
45. The controller of claim 33, wherein controlling the distributed energy resources comprises computing the power setpoint to achieve a predetermined power control at a Point Of Interest.
46. The controller of claim 33, wherein the distributed energy resources comprise a combination of energy generation devices, controllable energy loads, and energy storage devices.
47. The controller of claim 33, wherein the synchronized measurement is fed back at a frequency rate up to about 60 Hertz.
48. The controller of claim 33, wherein the synchronized measurement is time synchronized using a global positioning system, a Network Time Protocol (NTP) or a Precision Time Protocol (PTP).
49. A method of controlling an electrical power system comprising: feeding back synchronized measurements characterizing at least one aspect of an electrical power system to a feedback controller; and controlling distributed energy resources forming part of the electrical power system by the feedback controller by sending, to the distributed energy resources, a power setpoint derived from the synchronized measurements.
Description
DESCRIPTION OF DRAWINGS
(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)
DETAILED DESCRIPTION
(9) Nomenclature and Abbreviations
(10) Vvoltage amplitude measured in volt
(11) unwrapped voltage phase angle, measured in radians
(12) vvoltage phasor consisting of (V, ) pair
(13) fpower frequency
(14) Icurrent amplitude measured in ampere
(15) unwrapped current phase angle measured in radians
(16) icurrent phasor consisting of (I, ) pair
(17) power angle nd defined as difference between and
(18) I.sub.pcurrent power phasor I.sub.p=Ie.sup.i
(19) I.sub.creal part of current power phasor
(20) I.sub.simaginary part of current power phasor
(21) VAVoltage Ampere
(22) Preal power, measured in Watt
(23) Qreactive power, measured in VA
(24) Sapparent power (complex number S=P+jQ)
(25) Zcomplex impedance Z=|A|e.sup.j
(26) |Z|absolute value of complex impedance
(27) angle of impedance Z
(28) difference between voltage angles .sub.b at location b and voltage angle .sub.a at location a in EPS
(29) a tan 2( )four quadrant inverse tangent
(30) Area EPSthe main power grid that connects many local EPS
(31) Local EPSa local power grid such as a Micro grid
(32) Macro gridthe main power grid to which the microgrid is attached
(33) Micro grida collection of loads and resources that act as a single point of control to the macro-grid and can disconnect and re-connect to the macro-grid
(34) Area EPS is generally the part the network supplying power to the microgrid. Often this is at a higher voltage (69 kV) compared to the local EPS (12 kV). There is a transformer and a breaker between the two. The breaker a remotely operated switch that separates the local EPS from the area EPS. The breaker separating the two grids is called a Point of Common Coupling if the local EPS is a microgrid. It is important that the local EPS can be continually connected to the area EPS, but our controller provides demand regulation services to the local EPS. A local EPS could be a commercial or industrial building with solar PV and a Battery.
(35) POIPoint Of Interest
(36) PCCPoint of Common Coupling (which may refer to POI)
(37) DERdistributed energy resources, examples include Photovoltaic or Battery Inverter based systems, fuel cells, wind power, CHP such as combined cycle gas turbine or micro generator, fuel cells and batteries.
(38) PMUphasor measurement unit
(39) Controlthe process of adjusting the input to a system to cause the output to achieve a specified setpoint.
(40) Setpointthe specified value of an output variable in a process
(41) Controllerthe system that compares the controller setpoint with the output variable and makes adjustments to the process input variables. This can be hardware or software. In this description, the controller is software.
(42) CDERa controlled distributed energy resource
(43) MDERmultiple distributed energy resources
(44) MIMOMulti Input, Multi Output
(45) PIProportional and Integral
(46) FDFiltered Derivative
(47) Relation Between Phasors and Real/Reactive Power
(48) The electric behavior at any Point Of Interest (POI) in a (single phase) Alternating Current (AC) electric power system (EPS) is characterized by a voltage of the format v(t)=V sin(2ft+) and a current of the format i(t)=I sin(2ft+). The AC voltage magnitude V and voltage angle , collectively called the voltage phasor v=(V,) and the AC current magnitude I and current angle , collectively called the current phasor i=(I,) are related through Ohm's law. In an EPS, the complex impedance plays an important role in Ohm's law. In case the complex impedance is a linear (dynamic) system, the complex impedance can be represented by a complex number |Z|e.sup.j and denoted simply by the complex number Z with an absolute value of the impedance denoted by |Z| and a phase shift of the impedance denoted by . With the notion of a complex impedance Z, Ohm's law for a linear (dynamic) system states that the voltage phasor v and current phasor i are related via v=Zi. This makes the magnitude V related to the current magnitude I via the equation V=|Z|I, whereas the voltage angle is related to the current angle via =+ due to the complex calculation v=Zi. The impedance Z in an EPS may refer to, but is not limited to, an electrical source producing electrical power, an electrical line transporting electrical power or an electrical load consuming electrical power.
(49) As outlined in referenced U.S. Pat. No. 8,498,752, the AC voltage magnitude V, voltage angle , the AC current magnitude I, current angle , and the AC frequency f are available from Phasor Measurement Units deployed in an EPS. The AC voltage magnitude V and voltage angle are collectively called the voltage phasor v and the voltage phasor v can be represented by the pair v=(V,) or the complex vector v=e.sup.j, where j is the complex number with j.sup.2=1. Similarly, the AC current magnitude I and current angle are collectively called the current phasor i and the current phasor i can be represented by the pair i=(I,) or the complex vector i=e.sup.j. The voltage phasor v and current phasor i can be used to obtain derivative information that may include, but is not limited to, the real power P and reactive power Q that characterize the electrical power flow from, through or into an impedance Z located in the EPS.
(50) In case the impedance Z=|Z|e.sup.j between a location a and a location b in an EPS is known and characterized by its amplitude |Z| and its phase angle , the real power P and reactive power Q flow through the known impedance from location a to location b can be computed by
(51)
where V.sub.a and V.sub.b are the voltage amplitudes respectively at location a and location b and where =.sub.b.sub.a is the difference between voltage phase angle .sub.b at location b and voltage phase angle .sub.a at location a. The above formula indicates that real P and reactive Q power flow between two locations in an EPS can be derived from the equivalent impedance Z between the two locations in the power grid and the voltage phasor measurements v.sub.a=(V.sub.a,.sub.a) and v.sub.b=(V.sub.b,.sub.b) respectively at the two locations a and b in the EPS.
(52) In case the power flow at a particular POI in the EPS needs to be monitored and controlled, both the voltage the voltage phasor (V,) and the current phasor (I,) can be used to compute the real power P and reactive power Q. A particular POI in the EPS may include, but is not limited to, the location of a Distributed Energy Resource (DER) in the EPS or a Point Of Interest (POI) in the EPS that may include the Point Of Interest (POI) where a local EPS connects to the main EPS. The real power P and reactive power Q flow at a POI can be computed by
(53)
where V and I are respectively the voltage amplitude V and the current amplitude I at the POI, and the angle = is the difference between voltage phase angle and the current phase angle at the POI. The angle is also referred to as the power angle , as it directly related to the (normalized) size and direction of the real and reactive power flow with cos() and sin() always in the range between 1 and 1. Based on the power angle we also define the notion of a current power phasor I.sub.p=Ie.sup.j that combines the information on the current amplitude I and power angle .
(54)
(55) Although direct feedback information of power flow as illustrated in
(56) The first advantage of using phasor [v,i] for feedback is due to the fact that phasors at different locations in an EPS may be linearly (dynamically) related. The linear relation is guaranteed provided the impedance Z between the phasors is a linear dynamic system. However, even if Z is a linear dynamic impedance, the real/reactive power [P,Q] will always be a non-linear relation due to the product of voltage phasor v and current phasor i. For example, the voltage phasor v.sub.out over a load modelled by the impedance Z.sub.L and produced by a voltage source yin with a line impedance Z.sub.in is given by v.sub.out=Z.sub.vin where
(57)
If indeed Z is a linear dynamic impedance, the voltage phasor v.sub.out depends linearly on the voltage phasor v.sub.in. Hence, using phasors [v,i] for feedback allows the use of linear control algorithms to control phasor and the resulting power flow in an EPS.
(58) The second advantage of using phasor [v,i] for feedback is due to the fact that the real/reactive power pair [P,Q] is inherently a trigonometric statically coupled pair and related via the apparent power S=P+jQ and the power angle mentioned above. This means that increasing the size |S| of the apparent power may be done by either increasing the real power P or the reactive power Q, but to maintain the same ratio between P and Q, any changes in P must be coupled to the changes in Q. This always requires the real/reactive power pair [P,Q] to be treated as a coupled pair during power control. Using phasors [v,i] for feedback and in particular using either the current amplitude/power angle pair [I,] or the Voltage amplitude/power angle pair [V,] does not require static coupling between a phasor amplitude and power angle pair.
(59) The third advantage of using phasor [v,i] for feedback is due to the fact that the phasor pair [v,i] contains more information than the real/reactive power pair [P,Q]. As shown below, power flow information represented by the real/reactive pair [P,Q] does not contain full information about the voltage v=(V,) and current phasor i=(I,): only the phase difference = (power angle) between the voltage angle and the current angle and the product VI of the voltage amplitude V and current amplitude I can be reconstructed from the real/reactive pair [P,Q]. However, having access to the phasor pair [v,i] allows power(flow) at a particular POI in an EPS to be computed, whereas the individual voltage phasor v=(V,) and current phasor i=(I,) also contain information about the individual voltage amplitude V, current amplitude I and voltage angle and current angle useful for voltage angle or current angle tracking control systems.
(60)
(61) Conversely, given a real and reactive power pair (P,Q) at any POI in the EPS, the power angle = and the product VI of the voltage amplitude V and current amplitude I and can be computed via
=a tan 2(Q,P)
and
VI=2.Math.{square root over (P.sup.2+Q.sup.2)}
where a tan 2( ) denotes the four quadrant inverse tangent, creating a power phase angle in the interval between and radians. The above formulae indicate that information on the real and reactive power pair [P,Q] is not sufficient to reconstruct the full information on the voltage phasor v=(V,) and/or the current phasor i=(I,). Only the difference = between the voltage angle and the current angle and the product |S|=VI of the voltage amplitude V and current amplitude I can be reconstructed. However, additional information on either the voltage phasor v=(V,) or the current phasor i=(I,) suffices to reconstruct the phasor pair [v,i] from real and reactive power pair (P,Q).
(62) For notational convenience, the inverse operation from the real and reactive power pair [P,Q] back to any information on the phasors will be denoted by the function invPQ( ) and marked as function block 10 and 12 in
(63) In one embodiment called polar phasor current control, the function operation [I,]=invPQ(P,Q) may refer to the computation of the polar coordinates (I,) representing the power angle = and the current amplitude I of the complex power current I.sub.p=Ie.sup.j computed from information of the real power P and reactive power Q according to =a tan 2(Q.sub.P) and I=2/V.Math.{square root over (P.sup.2+Q.sup.2)}.
(64) In another embodiment function called rectangular current phasor control, the operation [I.sub.c,I.sub.s]=invPQ(P,Q) may refer to the computation of the rectangular coordinates [I.sub.c,I.sub.s] representing the real part I.sub.c=I cos() and the imaginary part I.sub.s=I sin() of the complex power current I.sub.p=Ie.sup.j computed from information of the real power P and reactive power Q according to I.sub.c=2P/V and I.sub.s=2Q/V assuming the voltage V0.
(65) It is worth noting that if the function invPQ( ) simply passes through the real and reactive power [P,Q]=invPQ(P,Q), the phasor control 16 in
(66) For comparison we now refer to both
(67) Although the external arrangement of power control using the novel phasor-based approach in
(68) Level 1 Control of a Controlled Distributed Energy Resource
(69)
(70) The information and power flow of the Level 1 CDER 20 in
(71) The phasor reference signal DER ref [v,i] 24 produced by the invPQ( ) function block 10 in
(72) Both the DER ref [v,i] 24 phasor reference signal and the DER [v,i] 28 phasor feedback signal enter the phasor control 16 that will compute a phasor control signal. More details on the inner workings of phasor control 16 is included in the discussion of
(73) The phasor control signal computed by the algorithm in phasor control 16 is then converted again to an DER power input signal DER [P,Q] 30 via the PQ( ) function block 6, defined also earlier in
(74) The Level 1 CDER in
(75) As indicated earlier, with the linearity of the phasors (v,i) in the presence of linear impedances Z in the EPS, such a control algorithm will be much easier to design. In essence the feedback algorithm of the Level 1 CDER 20 in
(76) Control of Multiple Distributed Energy Resources for Phasor Tracking
(77)
(78) As indicated earlier in
(79) The information and power flow of the Level 2 CDER 106 in
(80) An embodiment of the load flow & DER scheduler 110 may include an algorithm that decides which DERs participate in the level 2 control and at what percentage they will contribute. More advanced logic or load flow calculations can also be included in the load flow & DER scheduler functional block 110. The load flow and DER scheduler functions are current state of the art functions and are not included in this invention. This function is shown to indicate that the power allocation to individual DERs need to be determined algorithmically. So any method is suitable to be included.
(81) The individual real/reactive power reference signals 112 and 114 for each level 1 DER are converted to individual phasor reference signals DER #1 ref [v,i] 116 and DER #2 ref [v,i] 118 by the separate invPQ( ) function blocks 158 and 160 in
(82) The phasor reference signals DER #1 ref [v,i] 116 and DER #2 ref [v,i] 118 produced by the invPQ( ) function blocks 158 and 160 in
(83) To use the individual phasor reference signals DER #1 ref [v,i] 116 and DER #2 ref [v,i] 118 for control in the phasor control 162 and 164, the DER #1 ref [v,i] 116 and DER #2 ref [v,i] 118 reference signals must be compared to individual phasor measurement signals DER #1 [v,i] 124 and DER #2 [v,i] 126 respectively. Since the separation of the individual phasor reference signals DER #1 ref [v,i] 116 and DER #2 ref [v,i] 118 were generated by the load flow & DER scheduler functional block 110, the individual phasor measurement signals DER #1 [v,i] 124 and DER #2 [v,i] 126 are generated by the same algorithm as used in the load flow & DER scheduler functional block 110 duplicated in
(84) For that purpose, the POI phasor measurement signal POI [v,i] 142 is first sent through the PQ( ) functional block 146 to convert POI [v,i] 142 into a POI real/reactive power that is then subjected to the load flow & DER scheduler 100. For the conversion back to the individual phasor measurement signals DER #1 [v,i] 124 and DER #2 [v,i] 126, the invPQ( ) function blocks 152 and 154 are used and require information on either the voltage phasor v=(V,) or the current phasor i=(I,) of each CDER indicated by the phasor information signals 120 and 122. The same phasor information signals 120 and 122 were used earlier to create the signals DER #1 ref [v,i] 116 and DER #2 ref [v,i] 118 via the invPQ( ) function blocks 158 and 160.
(85) The phasor reference signals DER #1 ref [v,i] 116, DER #2 ref [v,i] 118 and the phasor feedback signals DER #1 ref [v,i] 124 and DER #2 ref [v,i] 126 enter the two individual phasor control 162 and 164 blocks that will compute a phasor control signal. In some embodiments the functional block of the phasor control 162 and 164 may have the same control algorithms as used in
(86) The phasor control signal computed by the algorithms in the individual phasor control 162 and 164 blocks are then converted to DER power reference input signals DER #1 ref [P,Q] 128 and DER #2 ref [P,Q] 130 via the PQ( ) function blocks 148 and 150. The PQ( ) function blocks 148 and 150 in
(87) The aggregated effect of the phasor output signals DER #1 [v,i] 136 and DER #2 [v,i] 138 is combined via the functional block representing the line impedances & grid dynamics 140 and results in a measurable phasor signal at the Point Of Interest POI [v,i] 142 in
(88) The voltage and current angles can be measured accurately using PMUs; however, as taught in the U.S. Pat. No. 8,457,912, the wrapping angle measurements of the phasors (V,), (I,) are not smooth and therefore cannot be used for feedback control. This invention uses the smooth and unwrapped angle measurements as taught in U.S. Pat. No. 8,457,912 as well as the time synchronized values of the phasors (V,), (I,) and the real/reactive power pair (P,Q) from a PMU or relay. These measurements, reported at high data rates, providing the means for the controllers to execute at much shorter time intervals compared to existing grid and macro-grid control systems.
(89) The local EPS includes a number of protective relays, in particular across the circuit breaker separating the area EPS from the local EPS. Most modern relays include PMU calculations and provide these measurements at high data rates (60 Hz) to multiple clients. The controller subscribes to these PMU measurement streams to obtain the measurements needed for control. There are certain time delays in receiving the data; hence the need for the Smith Predictor functionality. In other implementations, where electromechanical relays are used, a new PMU measurement device is installed at the required location in the grid. These PMUs send the measurements to the controller using the same message protocols as used by the relays.
(90) Control of Multiple Distributed Energy Resources for Voltage Phasor Tracking
(91)
(92) It can be observed that the Voltage Phasor Controller 508 has the same generic functionality as the Level 2 CDER 106 in
(93) The information flow of the Voltage Control 506 in
(94) An embodiment of the Voltage Phasor Scheduler 510 may include an algorithm that decides which DERs participate in the voltage phasor control and at what percentage they will contribute. More advanced logic or load flow calculations can also be included in the Voltage Phasor Scheduler functional block 510.
(95) To use the individual voltage phasor reference signals DER #1 ref [V,beta] 516 and DER #2 ref [V,beta] 518 for control in the phasor control 562 and 564, the DER #1 ref [V,beta] 516 and DER #2 ref [V,beta] 518 reference signals must be compared to individual voltage phasor measurement signals DER #1 [V,beta] 524 and DER #2 [V,beta] 526 respectively. Since the separation of the individual phasor voltage reference signals DER #1 ref [V,beta] 516 and DER #2 ref [V,beta] 518 were generated by the Voltage Phasor Scheduler functional block 510, the individual voltage phasor measurement signals DER #1 [V,beta] 524 and DER #2 [V,beta] 526 are generated by the same algorithm as used in the Voltage Phasor Scheduler functional block 510 duplicated in
(96) The phasor reference signals DER #1 ref [V,beta] 516, DER #2 ref [V,beta] 518 and the phasor feedback signals DER #1 ref [V,beta] 524 and DER #2 ref [V,beta] 526 enter the two individual phasor control 562 and 564 blocks that will compute a phasor control signals DER #1 [V,f] 528 and DER #2 [V,f] 530 where the variable f now refers to the frequency of the Voltage phasor. Conversion to frequency is done to accommodate the input to the voltage sources CDER #1 532 and CDER #2 534 that again produce a voltage phasor DER #1 [V,beta] 536 and voltage phasor DER #2 [V,beta] 538. CDERs such as inverters typically allow independent specification of Voltage amplitude V and frequency f of the AC voltage signal. In some embodiments the functional block of the phasor control 562 and 564 may have the same control algorithms as used in
(97) The aggregated effect of the voltage phasor DER #1 [V,beta] 536 produced by the voltage source CDER #1 532 and the voltage phasor DER #2 [V,beta] 538 produced by the voltage source CDER #2 534 is combined via the functional block representing the line impedances & grid dynamics 540 and results in a measurable voltage phasor signal POI [V,beta] 542 at the Point Of Interest in
(98) Phasor Controller
(99)
(100) The preferred embodiment of phasor control 264 is a two-input, two-output decoupling synchrophasor based control algorithm that computes a phasor control output signal DER [v,i] 256 from the phasor reference signal ref [v,i] 210 and the phasor feedback data [v,i] 202. The phasor control 264 also includes a simulation signal 204 and a prediction 206 signal produced by a predictive model 208 to account for transport delay in obtaining the phasor feedback data [v,i] 202. An alternative embodiment of the phasor control 264 is given in the phasor control 364 in
(101) The information and power flow of the phasor control 264 in
(102) In the phasor control 264 of
(103) The role of the predictive model 208 is clear from the above described signal path. If the predictive model 208 provides an accurate simulation that includes the same transport delay 230 and the same dynamics modelled by the dynamic model 232 as seen in the phasor feedback data [v,i] 202, then the simulation error signal 220 would be zero and only the prediction signal 206 will appear in the control input signal 224. Since the prediction signal 206 is equivalent to the simulation signal 204, but without the transportation delay, the effect of transport delay in the phasor feedback data [v,i] 202 is completely compensated for, as only the prediction signal 206 will appear in the control input signal 224 that is fed into the diagonal PI controller 226. At the same time, the same prediction signal 206 is fed into the diagonal FD controller 228. As a result, the predictive model 208 also known as a Smith Predictor is an important ingredient of the decoupling synchrophasor based control algorithm used in the phasor control 264.
(104) The diagonal PI controller 226 is a Proportional Integral (PI) controller. One embodiment of the diagonal PI controller 226 is the computation of the PI control output signal 234 as the sum of a proportional gain K.sub.p amplified control input signal 224 and an integral gain K.sub.i amplified time integrated control input signal 224. Other embodiments may include other linear combinations of a gain amplified control input signal 224 and time integrated control input signal 224 implemented in discrete-time filters.
(105) The diagonal FD controller 228 is a Filtered Derivative (FD) controller. One embodiment of the diagonal FD controller 228 is the computation of the FD control output signal 236 as a derivative gain K.sub.d amplified filtered prediction signal 206. In the alternative embodiment of the phasor control 264 in
(106) Worth noting is the fact that both the control input signal 224, the prediction signal 206 and the phasor feedback data [v,i] 202 are (at least) two dimensional input signals. As indicated earlier, in one embodiment called polar phasor current control, the phasor feedback data [v,i] 202 may refer to the polar coordinates (I,) representing the power angle = and the current amplitude I of the complex power current I.sub.p=Ie.sup.j. In another embodiment called rectangular current phasor control the phasor feedback data [v,i] 202 may refer to the rectangular coordinates [I.sub.c,I.sub.s] representing the real part I.sub.c=I cos() and the imaginary part I.sub.s=I sin() of the complex power current I.sub.p=Ie.sup.j.
(107) Given the fact that the control input signal 224 is at least a two dimensional signal, the diagonal PI controller 226 is a Proportional Integral (PI) controller that operates on each of the two signals included in the two dimensional control input signal 224 independently. The independent operation maintains decoupling between each of the two signals included in the two dimensional control input signal 224. Similarly, the diagonal FD controller 228 is a Filtered Derivative (FD) controller that operates on each of the two signals included in the two dimensional prediction signal 206 or the phasor feedback data [v,i] 202 independently. The independent operation maintains decoupling between each of the two signals included in the two dimensional control input signal 224.
(108) Further decoupling is accomplished in the phasor control 264 of
(109) The output signal 244 of the decoupling filter 242 is combined by the summing junction 246 with the feedforward control signal 248 of the feedforward filter 250. The feedforward filter 250 directly takes the phasor reference signal ref [v,i] 210 to generate the feedforward control signal 248. The feedforward filter 250 in the phasor control 264 allows the control signals to directly respond to any changes in the phasor reference signal ref [v,i] 210 without first having to go through the diagonal PI controller 226 and may allow for a faster phasor control in response to set point changes in the phasor reference signal ref [v,i] 210 signal. The preferred embodiment of the feedforward filter 250 has the same generic functionality as the decoupling filter 242: a multivariable dynamic system that also aims to decouple the real and reactive output signal [P,Q] either at the DER at Level 1 or at the POI at Level 2 control. An alternative embodiment of the feedforward filter 250 is a fixed matrix gain to maintain or promote statically decoupled phasor feedback signal [v,i] either at the DER at Level 1 or at the POI at Level 2.
(110) The final stage of the phasor control 264 of the preferred embodiment of
(111)
(112) The information and power flow of the phasor control 364 in
(113) In the phasor control 364 of
(114) The diagonal PI controller 326 is a Proportional Integral (PI) controller. One embodiment of the diagonal PI controller 326 is the computation of the PI control output signal 334 as the sum of a proportional gain K.sub.p amplified control input signal 324 and an integral gain K.sub.i amplified time integrated control input signal 324. Other embodiments may include other linear combinations of a gain amplified control input signal 324 and time integrated control input signal 324 implemented in discrete-time filters.
(115) The diagonal FD controller 328 is a Filtered Derivative (FD) controller. One embodiment of the diagonal FD controller 328 is the computation of the FD control output signal 336 as a derivative gain K.sub.d amplified high pass filtered phasor feedback data [v,i] 302. In the alternative embodiment of the phasor control 364 in
(116) Worth noting is the fact that both the control input signal 324 and the phasor feedback data [v,i] 302 are (at least) two dimensional input signals. As indicated earlier, in one embodiment called polar phasor current control, the phasor feedback data [v,i] 302 may refer to the to the polar coordinates (I,) representing the power angle = and the current amplitude I of the complex power current I.sub.p=Ie.sup.j. In another embodiment called rectangular current phasor control the phasor feedback data [v,i] 302 may refer to the rectangular coordinates [I.sub.c,I.sub.s] representing the real part I.sub.c=I cos() and the imaginary part I.sub.s=I sin() of the complex power current I.sub.p=Ie.sup.j.
(117) Given the fact that the control input signal 324 is at least a two dimensional signal, the diagonal PI controller 326 is a Proportional Integral (PI) controller that operates on each of the two signals included in the two dimensional control input signal 324 independently. The independent operation maintains decoupling between each of the two signals included in the two dimensional control input signal 324. Similarly, the diagonal FD controller 328 is a Filtered Derivative (FD) controller that operates on each of the two signals included in the two dimensional prediction signal 306 or the phasor feedback data [v,i] 302 independently. The independent operation maintains decoupling between each of the two signals included in the two dimensional control input signal 324.
(118) Further decoupling is accomplished in the phasor control 364 of
(119) The output signal 344 of the decoupling filter 342 is combined by the summing junction 346 with the feedforward control signal 348 of the feedforward filter 350. The feedforward filter 350 directly takes the phasor reference signal ref [v,i] to generate the feedforward control signal 348. The feedforward filter 350 in the phasor control 364 allows the control signals to directly react to any changes in the phasor reference signal ref [v,i] 310 without first having to go through the diagonal PI controller 326 and may allow for a faster phasor control in response to set point changes in the phasor feedback signal [v,i] 302. The preferred embodiment of the feedforward filter 350 is similar to the decoupling filter 342: a multivariable dynamic system that also aims to decouple the phasor feedback signal [v,i] either at the DER at Level 1 or at the POI at Level 2 control. An alternative embodiment of the feedforward filter 350 is a fixed matrix gain to maintain or promote statically decoupled the phasor feedback signal [v,i] either at the DER at Level 1 or at the POI at Level 2.
(120) The final stage of the phasor control 364 of the alternative embodiment of
(121) The functional blocks described herein can best be implemented in commercial computing platforms such as advanced Programmable Logic Controllers (PLCs) or in industrial grade PCs such as the SEL 3355 that runs multiple tasks, one of which is the controller. The controller processing functionality can be written in any computer language, but one implementation is using C++ running on Windows or Linux operating systems. The output commands from then controller may use standard control protocols such as IEC 61850 Goose or Modbus over Ethernet. In order to maintain high security, fiber optic connections are generally used between the controller platform and the inverter device that is used to control the real and reactive power flow to the local EPS. For example, the PQ( ) and invPQ( ) functions are preferably implemented using the standard trigonometry and square root functions provided in the computer language used to implement the controller.
(122)
(123) The demand setpoint is determined in two ways: if connected, the demand from the area EPS is determined such that the maximum value to the local EPS 802 is achieved; if disconnected, the supply and demand is determined by the available energy in the CDERs 808 and 810 and the production of power from uncontrolled DERs 814, 816, or loads 818.
(124) PMUs are used for control of the CDERs 808 and 810 at high data rates, typically 60 Hz. The setpoints for the CDERs are determined by the level 2 Power/Voltage controller 812. Note that the level 2 controller 812 sends both real and reactive power commands to the CDERS 808 and 810 as well as frequency and voltage setpoint commands. The real and reactive power commands ensure an energy balance in the local EPS and the frequency and voltage setpoints ensure that the voltage and voltage angle of the local EPS tracks the voltage and voltage angle of the area EPS. This allows the local EPS 802 to disconnect and reconnect to the area EPS 800 on command. This is an important feature of any microgrid controller.