In a power control system a server maintains asset models that represent asset behaviour, each asset model being in real-time communication with its asset to dynamically inform the model of the status of the asset. A test is performed at the server by issuing a command to an asset requesting the asset to perform a function. Sensors at the asset measure physical parameters at the asset and report these to the server. The server determines whether the asset responded to the command and, if the asset responded, how it responded over time. The server establishes a model for the asset in terms of an energy capacitance and a time constant based on the measured response. An optimizer determines which assets are to participate in which service models. The server sends instructions to the selected assets to attempt to fulfill the services.

A power prediction method includes obtaining evaluation metrics of models in a model pool, where the evaluation metrics are used to indicate precision of the models; selecting, based on the evaluation metrics, a first model for a power prediction on a first electrical unit; and presenting a result of the power prediction of the first electrical unit using the first model.

A method for controlling an electrical consumer is provided. The electrical consumer is coupled to an electricity supply grid using a frequency converter. The electricity supply grid has a line voltage and is characterized by a nominal line voltage. The electricity supply grid is monitored for a grid fault in which the line voltage deviates from the nominal line voltage by at least a first differential voltage. When the grid fault occurs, the electrical consumer remains coupled to the electricity supply grid, and a power consumption of the electrical consumer is changed on the basis of the deviation of the line voltage from the nominal line voltage.

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.

A power distribution system comprises a first Smart Meter device for metering the power absorbed or yielded by a domestic utility, in which said first Smart Meter device is connected to a power distribution grid and dialogs in real time with other Smart Meters connected to other domestic utilities, in which said other Smart Meters are connected to the same power grid of said first Smart Meter device, in which said power distribution system is provided with multiple and comprehensive interconnections which connect said first Smart Meter device to the other Smart Meter nodes so as to form a network, in which the information on the energy production and consumption status of the network is available in each Smart Meter node of the network at all times, thus allowing the information on the energy status of the network to be instantaneously available to an operator of the power grid by querying a single Smart Meter among those present in the network.

A management system comprises an operation terminal configured to perform a remote operation of an equipment; and a control device configured to receive an access request from the operation terminal and transmit a request command to the equipment in response to the reception of the access request. The operation terminal comprises a user interface configured to notify a user of information specifying an expiration timing of a response waiting timer that defines a transmission interval or a reception interval of the request command.

A method of controlling a microgrid comprises receiving, by a power management system, PMS, of the microgrid, operating point values for a plurality of controllable assets. The method comprises determining, by the PMS, an asset headroom. The method comprises determining, by the PMS, a modified operating point value that is dependent on the received operating point value of the controllable asset, the determined asset headroom of the controllable asset, and a total power offset of the microgrid. The method comprises controlling, by the PMS, the controllable assets for which the modified operating point values have been determined in accordance with the modified operating point values.

Described herein are embodiments of an electronic gas emission management system. The system accepts values for a plurality of emission sources of a portfolio according to native input formats for the plurality of emission sources. The system translates the native input formats into a first format, wherein the first format allows comparing emissions among the plurality of emission sources. The system accepts user input specifying a target emission for the portfolio. The system determines values for one or more parameters using the emission values for the plurality of emission sources stored in the first format and generates a display for the portfolio based on the parameter(s).

Methods, systems, and computer readable mediums for protecting and controlling a microgrid with a dynamic boundary are disclosed. One method includes detecting a fault in a microgrid that includes a dynamic point-of-common-coupling (PCC), in response to determining that the microgrid is operating in a grid-connected mode, isolating the fault by tripping a microgrid side smart switch and a grid side smart switch that are located immediately adjacent to the fault, initiating the reclosing of the grid side smart switch, and initiating the reclosing for the microgrid side smart switch via resynchronization if the grid side smart switch is successfully reclosed, and in response to determining that the microgrid is operating in an islanded mode, isolating the fault by tripping a microgrid side smart switch that is located immediately adjacent to the fault, and initiating the reclosing of the microgrid side smart switch.

A method for controlling an energy terminal, comprises determining a metric indicating a future availability of an energy resource at an energy terminal based on usage data associated to use of the energy resource by the energy terminal, generating control data to control the distribution of the energy resource between the energy terminal and an energy infrastructure based on the metric, and communicating the control data to the energy terminal.