The present invention discloses a distributed optimization method of regional integrated energy considering different building heating modes, comprising: based on a heating resistance and heat capacity network model, building an RIEDHS optimal scheduling model considering different building heating modes; by a coordination operator, initializing a Lagrange multiplier and global variable information and sending related information to an electricity sub-network and a heating sub-network which perform internal local optimization according to respective sub-problems and return coupling variable information to the coordination operator; and by the coordination operator, receiving the coupling variable information from the electricity sub-network and the heating sub-network, judging whether a convergence condition is met according to the coupling variable information and global variable information: ending the process if so, otherwise updating the Lagrange multiplier and a global variable, and re-executing the local optimization step until the convergence condition is met.

Disclosed herein is a method and system for sharing power or energy across various power supply and control modules. More specifically, disclosed herein are systems and methods for distributing energy. As explained herein, the method discloses receiving, at a microgrid, data from a plurality of data sources. The data is then analyzed to forecast power needs associated with the microgrid. Using the data, the microgrid may determine whether and when to share power with the requesting module.

A test and control apparatus, system and method for a wind farm, are provided. The test and control apparatus includes a first communication interface, a second communication interface, and a processor card. The processor card receives, via the first communication interface, a frequency regulation instruction issued by the grid scheduling server, receives operation information of the wind power generation unit via the second communication interface, and calculates, based on the operation information of the wind power generation unit, a first frequency regulation capability of the wind power generation unit performing a frequency regulation without using the first energy storage battery. The processor card sends the frequency regulation instruction to the wind power generation unit without using the first energy storage battery, in a case that the first frequency regulation capability of the wind power generation unit satisfies a requirement of the frequency regulation instruction.

The present disclosure provides systems and methods for flexible renewable energy power generation. The present disclosure also provides systems and methods for firming power generation from multiple renewable energy sources.

The present invention provides a method, system and storage medium for load dispatch optimization for residential microgrid. The method includes collecting environmental data and time data of residential microgrid in preset future time period; obtaining power load data of residential microgrid in future time period by inputting environmental data and time data into pre-trained load forecasting model; obtaining photovoltaic output power data of residential microgrid in future time period by inputting environmental data and time data into pre-trained photovoltaic output power forecasting model; determining objective function and corresponding constraint condition of residential microgrid in future time period, where optimization objective of objective function is to minimize total cost of residential microgrid; obtaining load dispatch scheme of residential microgrid in future time period by solving objective function with particle swarm algorithm. The invention can provide load dispatch scheme suitable for current microgrid and reduce operating cost of residential microgrid.

Transaction-enabled systems and methods for royalty apportionment and stacking are disclosed. An example system may include a plurality of royalty generating elements (a royalty stack) each related to a corresponding one or more of a plurality of intellectual property (IP) assets (an aggregate stack of IP). The system may further include a royalty apportionment wrapper to interpret IP licensing terms and apportion royalties to a plurality of owning entities corresponding to the aggregate stack of IP in response to the IP licensing terms and a smart contract wrapper. The smart contract wrapper is configured to access a distributed ledger, interpret an IP description value and IP addition request, to add an IP asset to the aggregate stack of IP, and to adjust the royalty stack.

Provided are an index value calculator to calculate an index value obtained by quantifying a degree of status for evaluation items, a teamwork evaluator to evaluate a teamwork based on the index value, a support content determiner to select target persons to be supported including the members of the team based on the evaluation result of the teamwork and determine support contents in accordance with the target persons to be supported, and a presentation information generator to generate presentation information for presenting the determined support contents for each of the output devices corresponding to the selected target persons to be supported, and the teamwork evaluator evaluates the teamwork using an evaluation logic configured by combining logical formulas for comparing a threshold value set for evaluation items with the calculated index value.

A system and method for performing novel wind forecasting that is particularly accurate for forecasting over short-term time periods, e.g., over the next 1-5 hours. Such wind forecasting is particularly advantageous in wind energy applications. The disclosed method is anchored in a robust physical model of the wind variability in the atmospheric boundary layer (ABL). The disclosed method approach leverages a physical framework based on the unsteady dynamics of earth's atmosphere, and drives forecasting as a function of previously-observed atmospheric condition data observed at the same location for which a wind forecast is desired.

A method for connecting a communication session may include storing first user communication acceptance criteria that is associated with a first user. A method may further include receiving a request from a second user to initiate a communication session with the first user and determining whether the first user permits such communication sessions with the second user based on the first user communication acceptance criteria. A method may include initiating the communication session between the first user and the second user upon determining that the first user permits the communication session to be initiated based on the first user communication acceptance criteria.

A computing device translates each of a group of structured language graphical process flow element representations, that each represents within a structured language one node of a captured graphical process flow diagram of a first business process, into one of a group of numerical strings that each represents within a set of data fields the respective node and connections to and from the respective node. The group of numerical strings is sequenced in accordance with values of the respective data fields within each numerical string that represents the respective node and the connections to and from each represented node of the captured graphical process flow diagram of the first business process.