A method for determining when a connection of a power system to a grid has been disconnected. The method includes the power system supplying a first amount of reactive power to the grid to which the power system is connected, and the power system determining if there is a frequency change within the grid. This includes if the frequency change does not exceed a predetermined threshold, the power system supplying a second amount of reactive power to the grid, and if the frequency exceeds a predetermined threshold, the power system supplying a first amount of reactive power to the grid.

A communication device is provided with: a first communication part that is connected to an energy storage device or a power supply related apparatus and communicates with the energy storage device or the power supply related apparatus; an acquisition part that acquires information including a state of the energy storage device or the power supply related apparatus on the basis of a set timing; a change acceptance part that accepts a change in the timing and changes the timing; and a transmission part that transmits, at a timing after the change, the information acquired by the acquisition part to a first apparatus by using a second communication part communicatively connected to the first apparatus.

The present disclosure is directed to systems and methods for economically optimal control of an electrical system. A two-stage controller includes an optimizer and a high speed controller to effectuate a change to one or more components of the electrical system. The high speed controller receives a set of control parameters for an upcoming extended time period. The control parameters include a plurality of bounds for an adjusted net power of the electrical system. The high speed controller sets an energy storage system command control variable (ESS command) based on a state of adjusted net power of the electrical system and the set of control parameters.

This application provides a method and apparatus for obtaining location information of a controller. The method includes: obtaining, by an inverter, signal feature information of each photovoltaic unit in a high-voltage direct current string, where the signal feature information of a photovoltaic unit includes a communication identifier of the photovoltaic unit and a signal feature of another photovoltaic unit, and the photovoltaic unit includes one controller and at least one photovoltaic module; determining an installation sequence of the photovoltaic units based on signal feature information of the photovoltaic units; and determining relative installation location information of each photovoltaic unit based on relative installation location information of a target photovoltaic unit in the high-voltage direct current string and the installation sequence of the photovoltaic units, where the target photovoltaic unit is at least one photovoltaic unit in the high-voltage direct current string.

A microgrid overcurrent protection device and a method for overcurrent protection of a microgrid. The protection device including a voltage controlled overcurrent detector for detecting an overcurrent above an overcurrent threshold and a phase directional detector arranged for current direction in a downstream or an upstream direction. The overcurrent threshold of the voltage controlled overcurrent detector is set at an upper overcurrent threshold when a measured voltage Vm is above a threshold voltage Vs and set at a lower overcurrent threshold when the measured voltage Vm is below the threshold voltage Vs. The device further includes a timer arranged for generating a trigger signal with a first delay time period when a downstream current direction and an overcurrent are detected and with a second delay time period when an upstream current direction and an overcurrent are detected.

A computer-implemented method for power grid anomaly detection using a convolutional neural network (CNN) trained to detect anomalies in electricity demand data and electricity supply data includes receiving (i) electricity demand data comprising time series measurements of consumption of electricity by a plurality of consumers, and (ii) electricity supply data comprising time series measurements of availability of electricity by one or more producers. An input matrix is generated that comprises the electricity demand data and the electricity supply data. The CNN is applied to the input matrix to yield a probability of anomaly in the electricity demand data and the electricity supply data. If the probability of anomaly is above a threshold value, an alert message is generated for one or more system operators.

This invention provides an energy storage device manager, a system comprising the energy storage device manager, computer-readable media configured for providing the energy storage device manager, and methods of using the energy storage device manager. The energy storage device manager can optionally control charge buses and/or load buses to modulate the state of charge of an energy storage device. The energy storage device manager can optionally be configured with a plurality of modes that target different states of charge. The plurality of modes can optionally comprise a maintain mode which targets a nominal (e.g. 50%) charge state and a high-charge mode that targets a state of charge greater than the maintain mode. The plurality of modes can optionally further include an in-use mode which targets a state of charge greater than the maintain mode, and turns on a load bus that is turned off in the preparation mode. The energy storage device manager can optionally be configured to determine a charge start time to execute the preparation mode. The energy storage device manager can optionally be configured to determine the charge start time based on forecast data (e.g. power prediction forecast determined based on weather forecast).

Systems and methods herein automate detection of switched-capacitor bank operation on a power grid. At least one power line sensor (106) may be positioned on a power line to measure electric field strength and current. A processor may be in communication with the power line sensor and memory storing a capacitor bank analyzer as computer readable instructions that, when executed by the processor, control the processor to: receive electric field data and current data from the power line sensor. The processor may extract key characteristics from the electric field data and the current data, compare the key characteristics to a library of key characteristics of a predictive model, and output, based on the predictive model, a label indicating presence of, or lack of, a capacitor switching event. E-field and current data from multiple line sensors may be aggregated to provide additional insight to capacitor bank operation.

A system and method are provided for operating a power generating asset coupled to an electrical grid. Accordingly, a controller receives an environmental data set indicative of at least one environmental variable projected to affect the power generating asset over a plurality of potential modeling intervals. The controller then determines the variability of the environmental data set and a corresponding modeling-confidence level at each of the potential modeling intervals based on the variability. A modeling interval is thus selected corresponding to a desired modeling-confidence level. A computer-implemented model is employed to predict a future power profile for the power generating asset over the selected modeling interval. The future power profile is indicative of a power-delivery capacity of the power generating asset at each of a plurality of time intervals of the modeling interval. Based, at least in part, on the future power profile, the controller determines an obligated-power-production schedule for the power generating asset over the modeling interval. The obligated-power-production schedule corresponds to a power production agreement with the electrical grid. In accordance with the obligated-power-production schedule, the controller modifies at least one setpoint of the power generating asset to deliver electrical power to the electrical grid.

Systems and methods comprising a metering device located on an electricity distribution grid, the metering device comprising one or more processors and memory. The metering device can detect a drop in characteristic of electricity below a threshold indicating a fault on the electricity distribution grid. The metering device can generate, responsive to the drop in the characteristic of electricity below the threshold, a time series of a rate of change of the characteristic of electricity for a predetermined number of cycles subsequent to the detection of the drop. The metering device can determine, based on a comparison of the time series of the rate of change with a predetermined pattern, a location of the metering device on the electricity distribution grid relative to a location of the fault on the electricity distribution grid.