Provided is an energy management system that appropriately grasps electric power demand prediction of the electric power in a business department, and implements electric power cooperation maintaining a business state. The energy management system includes a processor and a storage device. The storage device stores, in association with each other, past position information indicating a past position of a person in a target space and electric power demand information indicating an electric power demand in the target space when the past position information is acquired, and the processor searches for the past position information similar to new position information indicating a newly acquired position of the person in the target space, and outputs control information for controlling the electric power demand in the target space based on the electric power demand information stored in the storage device corresponding to the past position information obtained by the search.

The present disclosure provides techniques for estimating network states using asynchronous measurements by leveraging network inertia. For example, a device configured in accordance with the techniques of the present disclosure may receive electrical parameter values corresponding to at least one first location within a power network and determine, based on the electrical parameter values and a previous estimated state of the power network, an estimated value of unknown electrical parameters that correspond to a second location within the power network. The device may further cause at least one device within the power network to modify operation based on the estimated value of the unknown electrical parameters. The leveraging of network inertia may obviate the need for probabilistic models or pseudo-measurements.

This application discloses a method for implementing a fast power response and a power plant. The method is applied to a power plant-end power control apparatus, and includes determining a whole-plant reactive power target value and/or a whole-plant active power target value of the power plant. The method also includes determining, based on the whole-plant reactive power target value and/or the whole-plant active power target value, a second power control instruction readable to each photovoltaic inverter or power conversion system in the power plant. The method further includes delivering, through a subarray controller or a subarray communication device over an Ethernet network and/or a field bus network, the second power control instruction to each photovoltaic inverter or power conversion system indicated by address identifier information carried in the second power control instruction, so that each photovoltaic inverter or power conversion system makes a fast power response based on the second power control instruction.

Systems and methods for managing electrical load control events in an electric power grid are disclosed. A server processor is operable to generate an energy consumption profile for each of the plurality of service points. Each energy consumption profile comprises energy consumption information for a plurality of controllable energy consuming devices. The server processor selects at least one service point from the plurality of service points based on a predetermined criterion and sends at least one load control event to the at least one service point in response to an energy reduction request. The server processor determines an energy saving resulting from the at least one load control event at the at least one service point. The energy saving is determined based on a monetary supply equivalent value for each of the plurality of controllable energy consuming devices.

A method of supplying power in a power grid, a system supplying power in a power grid, a method of consolidating power injection and consumption in a power grid, a system for consolidating power injection and consumption in a power grid, a metering system for a power grid, and a metering method for a power grid. The method of supplying power in a power grid, the method comprises determining an initial forward probabilistic power supply time profile of an aggregate intermittent power source connected to the power grid; determining a target power demand time profile of at least one load connected to the power grid; and associating at least respective portions of the initial forward probabilistic power supply time profile and the target demand time profile such that a probability of supply of power from the intermittent power source to the load meets a specified criterion.

A building having a network of energy storage and energy consuming assets, which is connected to an alternating current electric supply grid having a normal frequency through an energy management system linked to a server. The energy management system measures over a period of time the energy consumption against time of the energy consuming assets and stores the measurements taken, measures over a period of time the energy stored against time in the energy storing assets and stores the measurements taken. The measurements of energy consumption and energy stored are used to derive the base net energy need in particular time periods. The net energy need in individual time periods is exported to one or more third parties.

Apparatus for controlling a power generation system, the apparatus comprising a controller configured to: identify a trigger indicative of a future change in electrical power output by the power generation system to a first power level; control the power generation system to change electrical power output to a second power level in response to the trigger, the second power level being equal to, or different to the first power level; and control supply of at least a portion of the electrical power output from the power generation system at the second power level to an electrical energy storage system to charge the electrical energy storage system.

A method for designing a battery storage at a connection point of a load to an energy supply network. In the method, at least two different load types are determined. A load profile of the load before a connection and an operation of the battery storage is recorded. The load profile is evaluated and the load is assigned to one of the load types depending on the evaluation. The battery storage is designed so that the load is assigned to a different load type after the battery storage has been connected and operated.

A system operation support device in a power system stabilizes the power system and has a predicted accident time system state calculation unit that receives measured data, a system topology, and a target accident type as inputs, and calculates a system state and a predicted accident time system state. A control menu calculation unit receives the results of the predicted accident time system state as inputs and calculates a control menu. A restoration control means calculation unit receives the result of the control menu calculation as an input and calculates a restoration control procedure. A restoration prevention control procedure calculation unit receives the result of the restoration control and a target restoration time parameter as inputs and performs a power generator output adjustment time simulation, a necessary prevention control amount calculation, and a prevention control procedure calculation. A display unit displays the restoration control procedure and the prevention control procedure.

A method for performing validation, estimation, and editing (VEE), including: employing HVAC subsystems to adjust comfort in a building; performing VEE on energy consumption streams; executing VEE rules on each of the streams to generate and store a corresponding post VEE readings, the post VEE readings comprising tagged energy consumption data sets each associated with a corresponding one of the streams, each of the data sets comprising first groups of contiguous interval values tagged as having been validated and second groups of contiguous interval values tagged as having been edited, the first groups of contiguous interval values corresponding to correct data; for the each of the data sets, creating anomalies having different durations using only the first groups of contiguous interval values; generating estimates for the anomalies by employing estimation techniques; for each of the durations, selecting one of the estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data for the corresponding one of the streams; and executing functions on the streams translated by the generating and directing one or more of the HVAC subsystems to change state, where the comfort is adjusted in accordance with building energy consumption.