The present invention deals with microgrids, which represent a new approach to integrate distributed energy resources economically reliably and efficiently. A microgrid can operate in a connected mode if it makes an energetic exchange with a main grid or in an island mode otherwise. In its island operation mode, a microgrid ensures its energy self-sufficiency. However, the availability of resources in this mode is greatly influenced by meteorological factors and the microgrid must satisfy the high requirements on intelligent power management in order to achieve high availability of energy. The present invention provides a multi-agent control system based on the production forecasting and loads shedding for high availability of the microgrid power supply.

A method includes determining control setpoints for equipment based on a time-varying availability of green energy and revenue from an incentive program of an energy provider. The method also includes controlling the equipment using the control setpoints.

A method for operating a power management device for controlling an operating device connected to a power supply network, in which the maximum demanded and/or provided output of the controlled operating device is at least 3 kW, is disclosed. An information data set is received which describes coupling information or a temporal progression of coupling information from a server device associated with a network provider of a power supply network, the coupling information describing a relationship between a device load of the operating device and a target variable to be optimized. A load profile is determined which describes a predicted temporal progression of the device load by optimizing the load profile with respect to the target variable. The load profile is provided to the server device, and the power management device may control the operating device according to a default value which is predetermined based on the load profile.

An autonomous energy supply network has energy producers and energy consumers that are driven by a local control device. The following steps reduce the parameterization outlay required for the operation of the autonomous energy supply network: provision of model data of the autonomous energy supply network in a data memory of a computing device superordinate to the local control device, the model data specifying the respective energy producers and their operating parameters; determination of an operating plan for the autonomous energy supply network with the computing device by using the model data, the operating plan specifying the operating state of the autonomous energy supply network during a particular time interval; transmission of the operating plan to the local control device; and driving of the energy producers and/or the energy consumers according to the specifications of the operating plan by the local control device.

A power management system includes: a power consumption estimation unit which, based on a first filter estimation function to make estimation by measured value of power consumption in a limited period of past measurement, estimates power consumption of next period of measurement in a first customer facility as an estimated power consumption; a power generation estimation unit which, based on a second filter estimation function to make estimation by measured value of power generation in a limited period of past measurement, estimates power generation by a power generator of next period of measurement in the first customer facility as an estimated power generation; an surplus power estimation unit which obtains an estimated surplus power which is a difference between the estimated power generation and the estimated power consumption; and a power management unit for controlling each of the charge and discharge of the storage battery.

A computer system for hosting a virtual power system environment includes a plurality of virtual devices, wherein at least one of the plurality of virtual devices is configured to simulate the function of at least one physical device in a power system, a virtual device manager configured to perform at least one operation on the plurality of virtual devices, a virtual power monitor configured to control a function of the plurality of virtual devices, a simulation engine configured to simulate a performance of the plurality of virtual devices according to conditions detected on the power system, and a configuration generator configured to generate a configuration for a physical power monitor according to a configuration of the virtual power monitor.

The present disclosure provides a distributed and anonymous approach to demand response of an electricity system. The approach conceptualizes energy consumption and production of distributed-energy resources (DERs) via discrete energy packets that are coordinated by a cyber computing entity that grants or denies energy packet requests from the DERs. The approach leverages a condition of a DER, which is particularly useful for (1) thermostatically-controlled loads, (2) non-thermostatic conditionally-controlled loads, and (3) bi¬directional distributed energy storage systems. In a first aspect of the present approach, each DER independently requests the authority to switch on for a fixed amount of time (i.e., packet duration). The coordinator determines whether to grant or deny each request based electric grid and/or energy or power market conditions. In a second aspect, bi-directional DERs, such as distributed-energy storage systems (DESSs) are further able to request to supply energy to the grid.

The disclosure relates to a method for monitoring an electricity supply grid, wherein the electricity supply grid has a grid frequency and a grid topology with a plurality of grid nodes, a plurality of converter-controlled infeed units are each connected to the electricity supply grid via a grid connection point, and the grid connection points are distributed over the grid topology, comprising the steps of acquiring in each case at least one node voltage at the grid connection point or at a grid node, assigned to the grid connection point, of the plurality of grid nodes, such that a plurality of node voltages are acquired, wherein each grid connection point or grid node is assigned a location in the grid topology, which is referred to as node location, and the acquired node voltage is characterized by a node phase angle as phase angle of the node voltage, assigning an associated node location to each node voltage, and ascertaining grid statuses distributed over the grid topology from the acquired node voltages, each with an assigned node location, in particular from the node phase angles or phase relationships between at least two grid nodes.

A power management system includes a CEMS server that outputs a DR request to a plurality of power adjustment resources such that balancing is achieved every prescribed time period. The plurality of power adjustment resources include: a power-storage-type DER that stores the supply power in an energy form of at least one of electricity, heat and gas fuel; and a consumption-type DER that consumes the supply power by at least one of air conditioning and lighting. In a case where it is expected in the middle of the prescribed time period that the actual amount of power exceeds the planned amount of power at the end of the prescribed time period, the CEMS server outputs, to the power-storage-type DER more preferentially than to the consumption-type DER, the DR request for decreasing the actual amount of power in comparison with before expectation.

The present power adjustment device includes: a storage device that stores vehicle information including a past behavior history of the electric vehicle participating in a VPP; and a charge-discharge instruction device for instructing the electric vehicle to charge and discharge power. The charge-discharge instruction device creates a charge-discharge plan of the electric vehicle to satisfy the power adjustment request, and instructs the electric vehicle of the created charge-discharge plan. In addition, when the charge-discharge instruction device receives an additional request of power adjustment after the instruction of the charge-discharge plan, the charge-discharge instruction device creates a change charge-discharge plan to meet the additional request, based on the estimated behavior of the electric vehicle, and the charge-discharge plan creation unit presents the electric vehicle of the charge-discharge plan that is created. The change charge-discharge plan includes information on an economic merit.