A power grid reactive voltage control model training method. The method comprises: establishing a power grid simulation model; establishing a reactive voltage optimization model, according to a power grid reactive voltage control target; building interactive training environment based on Adversarial Markov Decision Process, in combination with the power grid simulation model and the reactive voltage optimization model; training the power grid reactive voltage control model through a joint adversarial training algorithm; and transferring the trained power grid reactive voltage control model to an online system. The power grid reactive voltage control model trained by using the method according to the present disclosure has transferability as compared with the traditional method, and may be directly used for online power grid reactive voltage control.

An electrical power grid includes multiple, networked buildings that receive electrical power from one or more power generation sources. A networking control system communicates with a utility control center to obtain information regarding the amount of power being supplied by the power generation sources. The networking control system further obtains information from one or more building automation controllers that are controllably associated with a plurality of networked buildings. The networking control system determines whether the total amount of power being supplied exceeds a total demand load for the plurality of buildings. And if so, the networking control system commands one or more of the building automation controllers to operate one or more of the buildings a reduced energy efficiency level, which may take the form of an optimization curve.

Power systems are disclosed. The power system may include at least one computing device in communication with a control circuit including a plurality of electrical loops. The computing device(s) may be configured to test each of the plurality of electrical loops of the control circuit by performing processes including configuring a first electrical loop in a first electrical setting by adjusting an operational characteristic of one or more electrical switch(s) of the first electrical loop. The processes may also include determining an actual electrical status of the first electrical loop in the first electrical setting based on whether a relay of a return line in the first electrical loop detects a supplied voltage. Additionally, the computing device(s) may detect a fault in the first electrical loop in response to the determined actual electrical status of the first electrical loop differing from an expected electrical status of the first electrical loop.

A control system for controlling the power output of a plurality of renewable energy generators, a power network connecting those generators to a Point of Interconnection (PoI) with which the power network is connected to an external power grid, and measurement means configured to measure electrical parameters associated with the Point of Interconnection, wherein the control system is configured to: operate each renewable energy generator to achieve a respective current level at a terminal of the generator that is equal to a current set point; implement, during a grid fault event, a feedback control routine in which the control system: determines a measured value of an electrical parameter at the Point of Interconnection, determines a target value of the electrical parameter; and modifies the current set point based on the measured value and the target value of the electrical parameter.

A smart circuit breaker includes a communication interface, separable contacts, a processing unit having a memory with a routine stored therein which, when executed by the processing unit causes the processing unit to: sense a power outage in an electrical grid, control a meter to open contacts to disconnect from the electrical grid, sense power restoration to the electrical grid, control contacts corresponding to a secondary power source to open, control the meter to close contacts to reconnect to the electrical grid, sense that a frequency of power from the electrical grid matches a frequency of power from the secondary power source, and control the contacts corresponding to the secondary power source to close.

The present disclosure relates to a recloser control that detects islanding based on a continuous analysis of frequency and rate of change of frequency. For example, a recloser control may include protection circuitry that is communicatively coupled to a recloser. The recloser control may receive measurements of an electrical characteristic in an electric power delivery system. The recloser control may determine frequency (F) and a rate of change of frequency (ROCOF) based on the received measurements. The recloser control may detect islanding of a microgrid in the electric power delivery system based at least in part on F and ROCOF. The recloser control may send a signal to the recloser to trip the recloser based on the islanding of the microgrid.

A method and a system for switching from grid-connected to grid-disconnected, and a power conversion system are provided. The method includes determining whether a power grid is abnormal based on a power grid parameter obtained when a PCS is grid-connected and operates in a current source mode, turning off a switching cabinet if the power grid is abnormal, switching from a current source mode to a voltage source mode, sending a command to instruct a grid-connected/grid-disconnected switch to switch from a grid-connected loop to a grid-disconnected loop, controlling an output parameter to smoothly transit from an abnormal parameter value recorded when the power grid is abnormal to a rated parameter value, and supplying power to a load according to the rated parameter value. In this way, seamless switching from grid-connected to grid-disconnected can be achieved, thereby ensuring stability of power supply.

Disclosed is a power management device configured to stably supply power and save power by managing power quality includes a first switch, a converter, a voltage detector, a current detector, and a processor configured to control power of the power source to be supplied to the load through the first switch by turning the first switch on in an echo compensation mode, monitor power quality based on the detected current and the detected voltage, and when it is determined that the power quality has been abnormal, perform compensation control through the converter in a turned-on state of the first switch or control the power of the power source to be supplied to the load through the converter by turning the first switch off.

A method can be used for determining resiliency in a microgrid that includes a number of assets. The method includes obtaining status data about devices used to control the assets as well as about communication resources of this control, determining, based on the status data, the health and availability of each asset to assist each of a plurality of functions for handling disruptive events in the microgrid, determining a resiliency index of the microgrid in performing the plurality of functions, providing the resiliency index to a control system of the microgrid, comparing, in the control system, the resiliency index with a least one threshold, and changing the control of the microgrid if any of the thresholds is crossed.

A symmetric method for obtaining network-power-loss components induced by sources and loads at individual buses in AC power networks is invented. Two linear expressions of bus injection active and reactive powers in terms of translation voltages and voltage angles of all buses are established at first. Then a linear symmetric matrix-equation model for the steady state of the network is built. Manipulating this model by Moore-Penrose pseudoinverse produces a linear symmetric matrix expression of translation voltages and voltage angles of all buses in terms of bus injection powers. Expressing the network power loss in terms of source's and load's powers by this matrix expression, a symmetric algebraic calculation formula for obtaining the network-power-loss components is produced after manipulating by Shapley value theorem, by which the obtaining of network-power-loss components are achieved. The set of network-power-loss components provides a new efficient tool for economic operation of AC power networks.