A control method and system for a distribution network with distributed mobile energy storage systems is disclosed which relates to the power field. The present invention manages the multiple distributed mobile energy storage systems in the distribution network in a unified way, to improve the flexibility of the distribution network, and enable the distributed mobile energy storage systems to fully smooth new energy generation fluctuations, implement peak cut, facilitate grid auxiliary services, and improve the power quality. The control method includes: acquiring, by a sub-station coordination system, data of the distributed mobile energy storage systems; receiving, by a master-station dispatching system, the data of the distributed mobile energy storage systems, and obtaining external data; generating, by the master-station dispatching system, a control instruction; and controlling, by the sub-station coordination system, the distributed mobile energy storage systems. The control system includes the master-station dispatching system and the sub-station coordination systems.

A method of controlling energy supply in an energy distribution network is disclosed. The energy distribution network comprises an energy generation facility adapted to supply energy to the energy distribution network and an energy consumer adapted to consume energy from the energy distribution network. The method comprises, at the energy generation facility: detecting a curtailment condition, the curtailment condition indicating that the energy generation facility should curtail its supply of energy to the energy distribution network; in response to the curtailment condition, transmitting, via a communications link, a request to increase energy consumption to the energy consumer; receiving a reply message from the energy consumer via the communications link; and controlling energy output from the generation facility in dependence on the reply message.

An electrical energy supply device having a plurality of usage units, each usage unit being adapted to generate or to buffer electrical energy. The usage units in the energy supply device are divided up into strands and each strand is adapted to generate a summed voltage by a series circuit of the usage units, and each strand end is connected across a respective switching unit to a busbar assembly and within each strand a bridging circuit is provided for each usage unit and a control device is adapted to identify a defective usage unit in one of the strands and to then galvanically separate the strand by its switching units from the busbar assembly.

A method for dispatching a power grid is disclosed. The method includes: obtaining a whole power generation interval scheduled for a cluster of renewable energy stations from a power grid dispatching center; establishing a decomposition model that includes an objection function and constraint conditions; decomposing the whole power generation interval with the decomposition model to obtain each power generation interval of each renewable energy station; and controlling each renewable energy station to generate powers based on each power generation interval. The objection function minimizes a total operating cost in the power grid and includes a renewable energy randomness indicating an actual power generation amount of each renewable energy station. The constraint conditions include a constraint from an installed capacity of each renewable energy station to each power generation interval and a constraint from the whole power generation interval to a sum of power generation intervals of renewable energy stations.

A method for managing an energy system having one or more renewable energy sources, one or more energy storage devices, one or more loads, and a grid connection for connecting at least temporarily to an external energy distribution grid is disclosed. The method generates a prediction of energy demand of the loads using historical energy demand data, and a prediction of renewable energy availability from the renewable energy sources using weather forecast data. An amount of energy to be obtained from the distribution grid is determined in dependence on the prediction of renewable energy availability and the prediction of energy demand. An energy conservation strategy is generated using the predictions and determined energy amount, and energy supplied to one or more of the energy storage devices and/or one or more of the loads is adjusted automatically according to the energy conservation strategy.

A system for providing a rapid threshold amount of power to a customer load during transfer between a primary power supply and a secondary power supply is disclosed. The system is electrically connected between a customer metering system and the customer load. The system includes a secondary power supply not in electrical connectivity with the primary power supply. The secondary power supply includes a secondary power supply source for generating electrical power, a switching module, and an energy storage system in electrical communication with the secondary power supply source and the switching module. The energy storage system includes a high discharge battery and is configured to rapidly discharge power to the customer load when the switching module switches between the primary power supply and the secondary power supply. The switching module includes at least one set of contacts in communication with at least one inverter of the secondary power supply.

This application discloses a photovoltaic station and a power coordination method for a photovoltaic station. Sample inverters are disposed in arrays requiring power adjustment in the photovoltaic station. Real-time active power of sample inverters in each array is obtained. Then, an available active capacity and an available reactive capacity of the array and available active capacities and available reactive capacities of all the arrays requiring power adjustment are obtained based on the real-time active power of the sample inverters. Finally, active power and reactive power of the photovoltaic station are separately allocated to the N arrays based on the available active capacities and the available reactive capacities respectively corresponding to the N arrays. Because the sample inverters come from the arrays requiring power adjustment, differences between inverters and differences between the arrays can be fully exploited, and the available active capacities of the arrays can be more accurately obtained by using the sample inverters. Therefore, a more accurate available power capacity of the photovoltaic station is obtained by using relatively accurate available active capacities.

The invention relates to a method for driving the charging and discharging of a plurality of electrical energy storage devices connected to a common connection point (PCC) of an electrical distribution network, as a function of variation of a requested power value (P.sub.t.sup.ref) at the common connection point, each electrical energy storage device (i) presenting a respective instantaneous state of charge (SOC.sub.i), comprising steps of:

a—determining a number of electrical energy storage devices needed (N.sub.needed) to provide the requested power value at a time t,
b—activating and/or deactivating one or more of the electrical energy storage devices, as a function of the determined number of electrical energy storage devices needed (N.sub.needed), and the values of the instantaneous states of charge (SOC.sub.i) of each of the electrical energy storage devices (i), and
c—distributing the requested power (P.sub.t.sup.ref) between the activated electrical energy storage devices.

The disclosure relates to a two-side stochastic dispatching method for a power grid. By analyzing historical data of wind power, the Gaussian mixture distribution is fitted by software. For certain power system parameters, a two-side chance-constrained stochastic dispatching model is established. The hyperbolic tangent function is used to analyze and approximate cumulative distribution functions of random variables in the reserve demand constraint and the power flow constraint, to convert the two-side chance constraint into a deterministic constraint. The disclosure can have the advantage of using the hyperbolic tangent function to convert the two-side chance constraint containing risk levels and random variables into the solvable deterministic convex constraint, effectively improving the solution efficiency of the model, and providing decision makers with a more reasonable dispatching basis.

Techniques are described for incorporating distribution network analysis in the demand response scheduling process. In one example, a method includes receiving demand response (DR) request from a DR initiator, transmitting the DR request to an aggregator, for each customer, receiving customer location information and a customer DR value from the aggregator, aggregating DR at a distribution transformer in a distribution system, determining if there are any violations in the distribution system, determining an aggregated DR value for each electric node affected by the DR request, and transmitting each determined DR value to the DR initiator.