A method for characterizing power quality events in an electrical system includes deriving electrical measurement data for at least one first virtual meter in an electrical system from (a) electrical measurement data from or derived from energy-related signals captured by at least one first IED in the electrical system, and (b) electrical measurement data from or derived from energy-related signals captured by at least one second IED in the electrical system. In embodiments, the at least one first IED is installed at a first metering point in the electrical system, the at least one second IED is installed at a second metering point in the electrical system, and the at least one first virtual meter is derived or located at a third metering point in the electrical system. The derived electrical measurement data may be used to generate or update a dynamic tolerance curve associated with the third metering point.

A method for forecasting power output of a target site. The method includes normalizing power output data for the target site, at least in part, on an installed capacity. The normalized power output data is transformed to yield transformed normalized power output data. A temporal module fits a temporal model to model input data for the target site. The model input data corresponds to normalized power output data or transformed normalized power output data. A copula model is fit for the target site, based, at least in part, on at least one residual value. Each residual value is determined based, at least in part on a selected fitted temporal model for each target site.

A system and method for optimizing power grid operations and enhancing the life of switching components therein is provided. Current meteorological information of a region of operation of the power grid is collected during operation thereof, along with historical meteorological data of the region. A plurality of prediction models are executed using the current meteorological information and/or the historical meteorological data and a meteorological parameter of the region is forecast by selectively combining outputs of at least some of the executed prediction models, the meteorological parameter being a parameter that causes a renewable energy source in the power grid to generate power. The forecasted meteorological parameter is compensated with physical models and the historical meteorological data, and optimal switching operations of switching components in the power grid are computed based on the compensated forecasted meteorological parameter, with the switching components being controlled based on the computed optimal switching operations.

Described herein are methods and systems for estimating an originating location of a power quality event in an electrical grid. Each of a plurality of sensor devices connected to the electrical grid detects an input signal generated by electrical activity on the electrical grid, generates an output signal based upon the detected input signal, and transmits power quality data to a computing device via a communications network, where the power quality data is based upon the output signal. The computing device is configured to analyze the power quality data from at least a subset of the sensor devices to determine a power quality event occurring in the electrical grid, estimate an originating location of the power quality event based upon the power quality data, and transmit a notification to one or more remote computing devices based upon the estimated originating location of the power quality event.

A method for controlling an energy network includes transmitting a respective offer message by using a plurality of agent devices, each agent device being assigned to a subnetwork of the energy network, and each offer message indicating a subnetwork-specific measure for controlling the respective subnetwork and a period for which the subnetwork-specific measure is offered. A network control arrangement is used for receiving the offer messages, and identifying an undesirable network state of the energy network. A subnetwork-specific measure is selected from the plurality of subnetwork-specific measures, and an acceptance message is transmitted to that agent device which sent the offer message containing the selected subnetwork-specific measure by using the central network control arrangement. A corresponding agent device, a corresponding network control arrangement and a system including an agent device and a network control arrangement are also provided.

An electric vehicle charging system is configured for performing user authorization, authentication, and billing. The electric vehicle charging system comprises an outlet assembly electrically connected to a smart plug equipped with circuitry including a communication tag. The communication reader of the outlet assembly detects the connected smart plug and pairs with its communication tag using any type of near field communication when signaled, facilitating communication. Additionally, an aggregated charging controller, in communication with a server, generates a unique identifier associated with the cable. The server, utilizing a power distribution engine, distributes power to the charger upon verifying the authenticity of the cable's identifier and confirming the pairing between the communication tag reader of the outlet assembly and the communication tag of the smart plug.

The energy management system and method provide for the control of electrical loads within a group. In one embodiment, a plurality of electrical loads are connected to an electrical grid and, upon detection of a predetermined condition, a user-defined sub-set of the electrical loads are disconnected from the electrical grid. The predetermined condition may be, for example, a blackout, thus when an interruption in power from the grid is detected by one or more sensors, the user-defined sub-set of the electrical loads is electrically disconnected from its electrical connection to the grid power. Following this disconnection, at least one of the electrical loads from the user-defined sub-set of the electrical loads is connected to an alternative source of power, such as a backup battery, a solar power system, a generator or the like.

Systems and methods are disclosed for automated power plant unit trip prediction and control. Power plant controls may have limited time to manage the plant loads when one of the units trips unexpectedly. To mitigate any consequences on a power grid associated with a trip event, these systems and methods may allow for prediction of such trip events. The predictions may allow a signal to be provided to a controller in sufficient time for the controller to automatically take any necessary action to mitigate any impacts of the future trip event.

An innovative electrical panel configured to switch between solar/battery mode and power grid mode connected to a main input power source and a solar input power source, a battery input power source or any combination thereof wherein one or more standard circuit breakers or one or more custom wireless circuit breakers are configured to utilize one or more fast-switching components that are configured to alternate one or more circuit breakers between the main input power source and the solar, a battery or any combination thereof, input power source.

A load control system may include multiple control devices that may send load control messages to load control devices for controlling an amount of power provided electrical loads. To prevent collision of the load control messages, the load control messages may be transmitted using different wireless communication channels. Each wireless communication channel may be assigned to a load control group that may include control devices and load control devices capable of communicating with one another on the assigned channel. A control device may send load control messages to a load control device within a transmission frame allocated for transmitting load control messages. The transmission frame may include equal sub-frames and load control messages may be sent at a random time within each sub-frame. Control devices may detect a status event within a sampling interval to offset transmissions from multiple control devices based on detection of the same event.