Provided are an operation limit value management unit managing an operation limit value related to the power flow power of system equipment and a determination unit calculating the power flow state for each set time of the future of a power system based on load dispatching information including a power generation plan value, a predicted output value, and a predicted value of power demand and determining whether or not stable is each power flow state by comparison with the operation limit value. The determination unit sequentially changes the first output power of a first power source defined by the power generation plan value of the first power source and calculates each power flow state based on power including the changed first output power and a predicted value of the output of a second power source.

A negative sequence voltage (NSV) protection system is provided that can be added to existing equipment or included as a standalone device for detecting GFOV in electrical configurations connecting distributed energy resources to utility grids. The NSV protection system can be implemented at the low side of a distribution transformer of a typical distribution circuit or in a control system of inverter-based energy resources connected to a distribution feeder. The NSV protection system includes a passive monitoring system that outputs a trip signal when a potential GFOV is detected to occur. The trip signal can then be relayed to open the circuit breakers of a distribution circuit or to cause an inverter-based energy resource to trip offline.

A power conditioning system (PCS) includes: a grid blackout determiner, a voltage controller, and a processor electrically connected to the grid blackout determiner and the voltage controller. The processor is configured to identify a state of a grid as a blackout state or an unstable state based on at least one of an amplitude or a frequency of a voltage of the grid that is detected by the grid blackout determiner, control the voltage controller to adjust, based on the identified state of the grid being the blackout state or the unstable state, load voltage input to the voltage controller to be equal to a command voltage, and adjust, based on the identified state of the grid being the blackout state or the unstable state, a first frequency of the detected voltage of the grid to a second frequency that is different from the first frequency.

A ground-fault detecting device includes: a first detecting module, having a first input terminal, a second input terminal, and a third input terminal coupled to a first-phase electric power, a second-phase electric power, and a third-phase electric power on an AC side of a photovoltaic power generating system respectively, for sampling voltages of the first-phase electric power, the second-phase electric power, and the third-phase electric power to generate a first sampled voltage, a second sampled voltage, and a third sampled voltage respectively; and a controller, coupled to the first detecting module, for determining if a ground-fault occurs in the AC side before the photovoltaic power generating system is connected to a grid according to the first sampled voltage, the second sampled voltage, and the third sampled voltage; wherein the controller generates an alarm signal when the ground-fault occurs in the AC side.

Systems, methods, and computer-readable media are disclosed. An example method may include receiving a single-line drawing (SLD) of a power substation, the SLD including one or more components, the one or more components including at least one of: a current transformer (CT), a circuit breaker (CB), an isolator, a feeder, and a busbar. The example method may also include analyzing, using an artificial intelligence (AI) system, connection paths associated with the one or more components in the SLD. The example method may also include receiving real-time data relating to a status of the CB and a status of the isolator. The example method may also include providing, based on analyzing the connection paths, and the real-time data relating to the status of the CB and the status of the isolator, an indication of topology information associated with the power substation, the topology information including at least one of: an indication that the CT is a checkzone CT, an indication that the CT is a deadzone CT, an indication of a zone associated with the CT or the CB, or an indication that a zone is unprotectable.

A dual power supply apparatus includes a main power grid that supplies power by a first battery to an autonomous vehicle and a redundant power grid that supplies power to a dual power load based on a second battery, in an emergency driving mode due to a failure in the main power grid.

Systems and methods for determining a location of an event in an electric power delivery system using a machine learning engine are provided. The machine learning engine may be trained based on a topology of the electric power delivery system, where the topology may be a layout of line sections and corresponding sensors of the electric power delivery system. Based on the topology, one or more training matrices that indicate possible event locations may be generated. In turn, the machine learning engine may be trained using the training matrices and logistic regression models to determine locations of events that occur during operation of the electric power delivery system.

Systems and methods for managing power on an electric power grid including a server for communicating IP-based messages over a network with distributed power consuming devices and/or power supplying devices, the IP-based messages including information relating to activities by the power consuming devices and/or the power supplying devices; and wherein the information is transformed by the system into settlement grade data corresponding to the activities of the power consuming devices and/or the power supplying devices.

Disclosed is a power failure detection device and method capable of issuing a power failure alert early. The device includes a voltage reduction circuit, a detection voltage generating circuit, a detection circuit, and a transmitting circuit. The voltage reduction circuit is or includes at least one active electronic component, and generates an output voltage according to an input voltage higher than the output voltage. The detection voltage generating circuit is coupled between the voltage reduction circuit and a low voltage terminal, and generates a detection voltage according to the output voltage that is between the output voltage and the voltage of the low voltage terminal. The detection circuit generates a detection result according to the detection voltage and a trigger voltage. The transmitting circuit sends a power failure alert to a far-end device on condition that the detection result indicates that the detection voltage is lower than the trigger voltage.

A method predicts a grid state of an electrical power distribution grid, in which a central computer arrangement is used to receive measured values from measuring devices. A state estimation device is used to predict a future grid state, wherein the prediction of the future grid state is taken as a basis for ascertaining measures to guarantee stability of the power distribution grid. The prediction is made for multiple times within a predefined time window. A first prediction device is used to ascertain a prediction for a first portion of the multiple times on the basis of a voltage var control method, and in that a second prediction device is used to ascertain a prediction for a second portion of the multiple times on the basis of a neural network method.