Methods and systems for controlling electrical distribution grids. The method includes determining premises in an electrical distribution grid that include an energy resource. The method further includes determining a configuration of the electrical distribution grid including a micro-grid, the micro-grid including the one or more premises. The method further includes electrically isolating, monitoring and controlling the micro-grid from the electrical distribution grid through the use of a micro-grid manager.

The disclosure provides power distribution network reliability index calculation method based on mixed integer linear programming. The method includes: establishing a model for optimizing reliability indexes of a power distribution network based on a mixed integer linear programming model, wherein the model comprises an objective function and constraint conditions, the objective function is for minimizing a system average interruption duration index (SAIDI); solving the model based on the objective function and the constraint conditions to obtain reliability indexes of the power distribution network; and controlling operation of the power distribution network based on the reliability indexes.

A system architecture and method for enabling hierarchical intelligent control with appropriate-speed communication and coordination of control using intelligent distributed impedance/voltage injection modules, local intelligence centers, other actuator devices and miscellaneous FACTS coupled actuator devices is disclosed. Information transfer to a supervisory utility control is enabled for responding to integral power system disturbances, system modelling and optimization. By extending the control and communication capability to the edge of the HV power grid, control of the distribution network through FACTS based Demand response units is also enabled. Hence an integrated and hierarchical total power system control is established with distributed impedance/voltage injection modules, local intelligence centers, connected other actuator devices, miscellaneous FACTS coupled devices and utility supervisory all networked at appropriate speeds allowing optimization of the total power system from generation to distribution.

A system and a method for predicting failure in a power system in real-time. The method comprises obtaining, by a processing unit, state estimation data corresponding to electrical quantities of the power system received from one or more sources in real-time, extracting a feature vector from the received state estimation data based on contingency analysis information using a trained machine learning model, wherein the feature vector corresponds to one or more parameters pertaining to the power system in real-time, determining a security index for the received state estimation data based on the extracted feature vector using the trained machine learning model and, predicting a failure of the power system based on the determined security index.

A power restoration system comprising a feeder, a plurality of power sources available to provide power to the feeder, a plurality of normally closed reclosing devices electrically coupled along the feeder, at least one normally open recloser electrically coupled to the feeder, and a plurality of normally closed switches electrically coupled along the feeder between each adjacent pairs of normally closed reclosing devices. Each switch is assigned a position code having a value for each of the plurality of power sources that determines when the switch will open in response to the fault current and which power source the switch is currently receiving power from, where timing control between the reclosing devices and the switches allows the switch to be selectively opened to isolate the fault within a single feeder section between each pair of adjacent switches or between each switch and a reclosing device.

A hierarchical power flow control system includes power flow control devices, a communication coordinator and a gateway. The gateway provides diagnostics, prognostics, and health monitoring, and communicates with an external energy management system (EMS). Operation and actions are based on self-health monitoring, self-prognostics, and analysis and prediction processing in the gateway, in communication with the external energy management system.

A system and method for automated shutdown, disconnect, or power reduction of solar panels. A system of solar panels includes one or more master management units (MMUs) and one or more local management units (LMUs). The MMUs are in communication with the LMUs with the MMUs and LMUs “handshaking” when the system is in operation. The MMUs are connected to one or more controllers which in turn are connected to emergency detection sensors. Upon a sensor detection of an emergency, the associated MMU is notified which in turn instructs associated LMUs to take appropriate action. In the event that communication with the MMUs has been cut off, the LMUs take the initiative to shut down, disconnect, or reduce the output of associated string(s) of solar panels.

An auxiliary power source is configured to black start a power plant. The auxiliary power source includes a first power source having an auxiliary generator driven by an auxiliary drive. The auxiliary power source also includes a second power source having energy storage. The auxiliary power source is configured to supply power from the first and second power sources to support the black start of the power plant.

A fault detection apparatus includes a temperature detection unit, a current detection unit, a controller, and a breaking unit. The temperature detection unit is configured to detect temperatures of the plurality of filter capacitors and output the temperatures to the controller. The current detection unit is coupled to the plurality of filter capacitors and is configured to detect currents of the plurality of filter capacitors and output the currents to the controller. The controller is separately connected to the temperature detection unit, the current detection unit, and the breaking unit, and is configured to: when the received temperature exceeds a first threshold and the received current exceeds a second threshold, control the breaking unit to be disconnected. The breaking unit is connected between the output end of the grid-tied inverter and the plurality of filter capacitors and is configured to be disconnected or connected under control of the controller.

A power supply system contains a plurality of power generating devices, a plurality of power consuming devices, and a controller. The controller controls the power supply system based on a rated consumption value indicating an anticipated power consumption of the power supply system and also based on a standby value indicating a standby power. The standby value indicates the standby power made available by the power supply system at which emergency measures can be avoided if the actual power consumption deviates from the rated consumption. The power supply system further has a preprocessing device for calculating a rated consumption value and a standby value at which an emergency measure-free operation can be attained with the required probability, based on consumption values recorded in the past and using a probability value defined on the user side which defines the probability of the emergency measure-free operation of the power supply system.