A method, a system, a storage medium and an electronic device for peer-to-peer electricity trading based on a double-layer blockchain. Provided herein relates to electricity trading. This application includes a bulk grid blockchain and a plurality of microgrid blockchains and puts forward a double-layer blockchain technology. The energy consumption plan or the energy supply plan of the trading subjects shall preferentially perform a first power dispatching-matching and a second power dispatching-matching on the microgrid blockchain, and the unsatisfied energy consumption plan or the remaining energy supply plan is uploaded to large power grid blockchain for a third power dispatching-matching.

The present invention provides a control apparatus (100) that includes a remaining capacity change model determination unit (120) that determines a remaining capacity change model that estimates a temporal change of a remaining capacity which is based on charging/discharging in accordance with a first energy service for each of a plurality of energy storage systems that perform charging/discharging in accordance with energy services; and an operation planning unit (130) that computes a charging/discharging plan of each of the plurality of energy storage systems based on the remaining capacity change model of each of the plurality of energy storage systems.

Disclosed is an optimal power flow acquiring method for regional distribution network of small hydropower groups based on deep learning, which specifically includes the following steps: generating required data sets by adopting continuous power flow and power flow equation calculation methods; the data set is randomly divided into training data (80 percent) and test data (20 percent); training the built convolutional neural network model with training data to learn the mapping relationship between load and generator output power; inputting test data, and directly obtaining P.sub.G and Q.sub.G from the trained convolutional neural network; and solving residual variables V.sub.i and θ.sub.i with traditional power flow solver. The application can accelerate the solving speed of the optimal power flow problem with higher prediction accuracy.

Embodiments of systems and methods for power demand management are described herein. More specifically, embodiments comprise systems and methods for powering, controlling, and/or operating various types of controllable load for integration with power fluctuations from intermittent power generation plants, such as photovoltaic arrays and wind turbine farms.

A system for managing grid interaction with an energy storage device includes an energy exchange server, a plurality of energy storage devices, a plurality of interconnect socket adapters, and a plurality of energy exchange controllers, each energy exchange controller coupling to one of the plurality of interconnect socket adapters and dictating energy consumption based on energy pricing data received from the energy exchange server. Each interconnect socket adapter electrically couples to the power grid, one or more energy sinks, and an energy storage device, and the energy exchange server receives a real-time energy consumption data set, a real-time energy production data set, a set of environmental parameters and a starting energy price, and generates a current aggregate electricity demand value as a function of the real-time energy consumption data set and the environmental parameters, a current aggregate electricity supply value as a function of the real-time energy production dataset and the environmental parameters, and a current energy price as a function of the starting energy price, the current aggregate electricity demand value, and the current aggregate electricity supply value.

The disclosure provides a method and a system for dispatching a multi-region power system. The method includes: obtaining, by each regional system operator, basic operating parameters of the regional power system; establishing, by each regional system operator, a dispatching model of the regional power system based on the basic operating parameters; identifying, by each regional system operator, an aggregation model of the regional power system based on the dispatching model of the regional power system; reporting, by each regional system operator, the aggregation model to the cross-region system operator; establishing, by the cross-region system operator, a reduced dispatching model of the multi-region power system based on the aggregation model from each regional system operator; and solving, by the cross-region system operator, the reduced dispatching model to obtain a dispatching result of each regional power system.

A system for integrating electric loads into the utility electric grid in a cost-effective, emissions-minimizing way. The system generates and implements a computer-readable series of instructions for one or more of starting and stopping electrical device charging or operation powering of an electrical device's duty cycle. The system includes a planning server including an optimization engine, one or more processors, and a memory device storing instructions thereon that when executed by the one or more processors, causes one or more of the one or more processors to: receive a charge request for charging an electrical device or operation powering of the electrical device's duty cycle, wherein the charge request includes time charge block sorting factors, generate a charging and powering schedule that includes multiple sets of disjointed time charge blocks to start and stop drawing power from a power grid to charge the electrical device or power the electrical device's duty cycle, calculate greenhouse gas emissions created during the scheduled time blocks, wherein each time charge block represents a block of time, a charge price, and a charge emissions value; and sort the time charge blocks in the charging and powering schedule using sorting factors that include price, emissions, solar availability, and combinations therein. Applied to a large number of devices, this system enables integration of devices like smart hot water heaters and electric vehicles into a utility's electric grid with reduced capacity need, avoiding capital expenses and lower operating expenses, while also minimizing carbon emissions and other air pollution.

Various embodiments of the teachings herein include a device for controlling energy flows between participants in an energy network which are connected to one another via lines, the device comprising a processor configured to calculate the energy flows in advance for a period of time using an optimization process and to control the energy flows in the period of time on the basis of the result of the calculation. The processor is further configured to include losses that occur in the energy flows in the lines in the calculation using the optimization process.

A supply-and-demand adjustment system, that utilizes characteristics of supply-and-demand adjustment apparatuses and precisely matches a total supply-and-demand adjustment amount with a required adjustment amount when performing a supply-and-demand adjustment. The supply-and-demand adjustment system comprises a central control apparatus and one or more supply-and-demand adjustment apparatuses, the central control apparatus includes a state collection unit that collects information with regard to a state of each supply-and-demand adjustment apparatus, an allocation band calculation unit that calculates a frequency band and an intensity of a fluctuation of a supply-and-demand adjustment to be allocated to each supply-and-demand adjustment apparatus based on the information of the state, and an adjustment amount calculation unit that calculates a supply-and-demand adjustment amount for each supply-and-demand adjustment apparatus based on the frequency band and the intensity of the fluctuation of the supply-and-demand adjustment to be allocated to said each supply-and-demand adjustment apparatus.

A system includes a database storing demand response data, the demand response data including demand response agreement parameters, demand response load and energy demand characteristics of one or more demand response customers, the demand response load characteristics including power consumption capacity of each of one or more demand response loads, an aggregator to aggregate the demand response loads based on the demand response data and forecast data into a demand response portfolio, a monitor to monitor power demand of one or more demand response customers and one or more power grids, and a dispatcher to notify the one or more demand response customers of the demand response portfolio and to notify a utility of a response from the one or more demand response customers whether to control the demand response load to return the power consumption capacity of the demand response load back to the one or more power grids.