DC-eliminating current controller for grid-connected DC/AC converters
09887640 ยท 2018-02-06
Assignee
Inventors
- Suzan Eren (Kingston, CA)
- Majid Pahlevaninezhad (Kingston, CA)
- Shangzhi Pan (Kingston, CA)
- Praveen Jain (Kingston, CA)
Cpc classification
H02M1/12
ELECTRICITY
H02M7/537
ELECTRICITY
Y02B70/10
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
Abstract
Systems, methods, and devices which eliminate the DC current from the output of grid-connected inverters. A current controller is provided which interfaces with a grid-connected DC/AC inverter. The current controller uses a nonlinear adaptive filter which receives, as input, the output current of the inverter along with grid current frequency. The nonlinear adaptive filter estimates the DC value of the grid current and, in conjunction with an integrator, removes this DC current component. This is done by adjusting the duty cycle of the grid-connected inverter.
Claims
1. A system for controlling a current of a DC/AC converter coupled to a power grid, the system comprising: a voltage controller block; a compensation block for providing high gains to a signal at a fundamental frequency of said system and for providing high signal gains at harmonic frequencies of said fundamental frequency, said compensation block receiving at least one version of an output of said voltage controller block; a nonlinear adaptive filter for estimating a DC component of a grid current using a grid voltage frequency and said grid current, said filter receiving at least one output of said converter, wherein said filter comprises a plurality of processing blocks for processing a first error signal and a second error signal, said first error signal being based on said grid current and an iterative estimation of said DC component, said second error signal being based on said first error signal, wherein said first and second error signals converge to zero and iterative estimations of said DC component are given by {circumflex over ({dot over ()})}={tilde over ()}.sub.1, where {circumflex over ({dot over ()})} is said estimation of said DC component, is a constant value that determines a speed of convergence for said estimates of said DC component, is said grid voltage frequency, and {tilde over ()}.sub.1 is said first error signal; and circuitry for subtracting said DC component from a current output of said converter by way of controlling a duty cycle for said converter.
2. The system according to claim 1, wherein said filter receives a grid current output of said converter and a frequency of a grid voltage from said converter.
3. The system according to claim 2, wherein said frequency of said grid voltage is derived from said grid voltage by a phase locked loop block.
4. The system according to claim 1, wherein said compensation block receives a grid current from said converter.
5. The system according to claim 1, wherein said circuitry comprises at least one integration block for integrating said DC component.
6. A method for controlling a grid connected DC/AC converter, the method comprising: a) receiving a grid current being output by said converter; b) extracting a grid voltage frequency from a grid voltage being output by said converter; c) estimating a DC component of said grid current using said grid voltage frequency and said grid current to produce an estimated DC component, wherein said estimating is iteratively based on said grid voltage frequency and at least one error signal, and wherein said at least one error signal is based on said grid voltage frequency and said estimated DC component, and wherein said at least one error signal converges to zero; d) removing said DC component from said grid current by controlling a duty cycle for said converter.
7. The method according to claim 6, wherein step d) is performed by way of integration.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1) The embodiments of the present invention will now be described by reference to the following figures, in which identical reference numerals in different figures indicate identical elements and in which:
(2)
(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
(11)
(12)
DETAILED DESCRIPTION
(13) The present invention includes a new current controller that is able to eliminate the DC component of the grid-connected DC/AC inverter output current. The method and system are based on the nonlinear adaptive filtering of the output current in order to extract the DC value of the output current. Once the DC value is extracted, it can be eliminated through an integrator, since it provides a very high gain for the DC signal.
(14)
(15)
(16) The challenge with the closed-loop control shown in
i.sub.g=I.sub.DC+I.sub.g sin(t)(1)
(17) The objective of the nonlinear adaptive filter is to extract I.sub.DC from i.sub.g without significantly compromising the dynamics of the signal. The new state variables for the nonlinear adaptive observer are defined as:
(18)
(19) According to Eqns. (1)-(3), the system dynamics is given by:
(20)
(21) In Eqn (4), is the unknown parameter, which has to be estimated. Since the only observable output is y.sub.1, the following change of variable is used to be able to estimate .
(22)
(23) The dynamics of the system with new variables is derived as:
(24)
where:
(25) It is worthwhile to note that .sub.1 is the measurable variable. The nonlinear adaptive observer for Eqn. (6) is given by:
(26)
along with the following adaptive estimation for :
{circumflex over ({dot over ()})}={tilde over ()}.sub.1(8)
(27) In Eqns. (7)-(8), {tilde over ()}.sub.1=.sub.1{circumflex over ()}.sub.1, and .sub.1, .sub.2 are the observer gains.
(28) The existence and boundedness of the solution of Eqn. (7) are guaranteed by the following energy function:
(29)
where {tilde over ()}.sub.1=.sub.1{circumflex over ()}.sub.1 and is a positive real constant which determines the speed of convergence for the adaptive law.
(30) The derivative of the Lyapunov function is given by:
{dot over (V)}={tilde over ()}.sub.1{tilde over ({dot over ()})}.sub.1+{tilde over ()}.sub.2{tilde over ({dot over ()})}.sub.2+{tilde over ()}{tilde over ({dot over ()})}(10)
(31) Using the error dynamics given by:
(32)
and the adaptive law given by Eqn. (8), the derivative of the energy function is given by:
{dot over (V)}=.sub.1{tilde over ()}.sub.1.sup.2{tilde over ()}.sub.2.sup.2(12)
where .sub.1 is a positive real value and .sub.2 is set to be equal to .
(33) According to Eqn. (12), the derivative of the Lyapunov function is negative semi-definite (it is not negative definite). Eq. (12) only guarantees that the error signals, {tilde over ()}.sub.1 and {tilde over ()}.sub.2 converge to zero. However, only the boundedness of {tilde over ()} is guaranteed and not the asymptotic convergence. The particular structure of the adaptive observer of the invention provides the necessary and sufficient condition to prove the asymptotic convergence of {tilde over ()}. The asymptotic convergence is proven by using the persistency of excitation theorem. This theorem states that if the update law {circumflex over ({dot over ()})} is persistently excited, the global asymptotic stability is concluded for the estimation errors. In particular, in order to have persistency of excitation, the following condition must be satisfied for two positive real values T and k:
.sub.t.sup.t+T{circumflex over ()}.sup.2()dk>0(13)
(34) Because the grid current is a sinusoidal signal with a frequency of , the update law, {circumflex over ({dot over ()})}={tilde over ()}.sub.1, is constantly being excited through .sub.1. Thus, the update law in the adaptive observer of the invention is persistently excited. The persistency of excitation theorem proves the globally exponentially stable equilibrium point (0,0,0) for ({tilde over ()}.sub.1, {tilde over ()}.sub.2, {tilde over ()}).
(35)
(36) Referring to
(37) Also from
(38) In the linear state feedback loop, the result of the summation block 170 is a duty cycle d that is fed into the converter 40. The converter 40 produces a value X that is multiplied with a value K by multiplier 180. The result of multiplier 180 is subtracted by summation block 170 from the result of summation block 120.
(39) A detailed block diagram of the nonlinear adaptive filter 130 is shown in
(40) Referring to
(41) Returning to summation block 260, the result of this summation block 260 is integrated by way of integration block 290 to result in the second estimated error value 280.
(42) As noted above, the grid current 120 is received by multiplier 220. From
(43) As can be seen from
(44) In the final leg of the filter 130, the frequency 90 is multiplied by multiplier block 350 with the result of summation block. The result is multiplied by a coefficient value 355 by multiplier block 357. The result of multiplier block 357 is then integrated by way of integration block.
(45) In order to evaluate the performance of the DC-eliminating current controller of the invention, the transient response of the closed-loop control system is examined using the conventional PR-controller with a linear state-feedback and the DC-eliminating controller.
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(48) It should be noted that the invention may also be practiced using a suitably configured ASIC. As well, the invention may be practiced as a suitably configured and programmed general purpose computer coupled to a grid-connected converter.
(49) The embodiments of the invention may be executed by a computer processor or similar device programmed in the manner of method steps, or may be executed by an electronic system which is provided with means for executing these steps. Similarly, an electronic memory means such as computer diskettes, CD-ROMs, Random Access Memory (RAM), Read Only Memory (ROM) or similar computer software storage media known in the art, may be programmed to execute such method steps. As well, electronic signals representing these method steps may also be transmitted via a communication network.
(50) Embodiments of the invention may be implemented in any conventional computer programming language. For example, preferred embodiments may be implemented in a procedural programming language (e.g. C) or an object-oriented language (e.g. C++, java, PHP, PYTHON or C#). Alternative embodiments of the invention may be implemented as pre-programmed hardware elements, other related components, or as a combination of hardware and software components.
(51) Embodiments can be implemented as a computer program product for use with a computer system. Such implementations may include a series of computer instructions fixed either on a tangible medium, such as a computer readable medium (e.g., a diskette, CD-ROM, ROM, or fixed disk) or transmittable to a computer system, via a modem or other interface device, such as a communications adapter connected to a network over a medium. The medium may be either a tangible medium (e.g., optical or electrical communications lines) or a medium implemented with wireless techniques (e.g., microwave, infrared or other transmission techniques). The series of computer instructions embodies all or part of the functionality previously described herein. Those skilled in the art should appreciate that such computer instructions can be written in a number of programming languages for use with many computer architectures or operating systems. Furthermore, such instructions may be stored in any memory device, such as semiconductor, magnetic, optical or other memory devices, and may be transmitted using any communications technology, such as optical, infrared, microwave, or other transmission technologies. It is expected that such a computer program product may be distributed as a removable medium with accompanying printed or electronic documentation (e.g., shrink-wrapped software), preloaded with a computer system (e.g., on system ROM or fixed disk), or distributed from a server over a network (e.g., the Internet or World Wide Web). Of course, some embodiments of the invention may be implemented as a combination of both software (e.g., a computer program product) and hardware. Still other embodiments of the invention may be implemented as entirely hardware, or entirely software (e.g., a computer program product).
(52) A person understanding this invention may now conceive of alternative structures and embodiments or variations of the above all of which are intended to fall within the scope of the invention as defined in the claims that follow.