Abstract: The disclosure provides a distributed dispatch method for ubiquitous power Internet of Things based on a transition matrix. The ubiquitous power Internet of Things includes generators. The method includes: S1, setting a marginal cost function of each of the generators, and extracting key cost parameters in the marginal cost function; S2, establishing an optimization model based on the key cost parameters of each of the generators and a communication topology of the ubiquitous power Internet of Things, and solving the optimization model to obtain an optimized transition matrix; and S3, generating a plan of a power output of each of the generators based on the optimized transition matrix and a distributed dispatch protocol to perform a distributed dispatch.

Abstract: A method for coordinated control of an electro-hydrogen integrated system includes: constructing a clearing model for the integrated system having a fuel cell facility and a P2H production facility; introducing Lagrange multipliers into a power balance constraint and a hydrogen energy balance constraint in the clearing model; decomposing the clearing model into a first clearing model of a power subsystem and a second clearing model of a hydrogen subsystem based on a decomposition algorithm, solving the first and second clearing models to obtain interaction information; storing the interaction information in a blockchain smart contract, exchanging the blockchain smart contract for multiple rounds and adjusting strategies of each subsystem to obtain an optimal solution of the clearing model; and controlling the integrated system based on the optimal solution to provide a target electric quantity and a target hydrogen amount.

Abstract: A method for energy flow optimization in a multi-energy system based on spatiotemporal network flows is disclosed. The multi-energy system includes M energy storage devices, photovoltaic power generators and N micro gas turbines (MGTs). The method includes: obtaining an objective function of the network flows in the multi-energy system; determining constraints of the network flows, where the constraints include a power balance constraint, an energy storage period constraint, an energy storage capacity constraint, an energy storage charging and discharging constraint, a generator power constraint, and an energy storage charge quantity constraint; establishing a network flow model with the objective function and constraints; solving the network flow model with a shortest-path and max-flow algorithm, to obtain an optimal power flow (OPF) in the multi-energy system; operating the multi-energy system by adjusting parameters of the energy storage devices and the MGTs based on the OPF.

Abstract: The disclosure provides a distributed dispatch method for ubiquitous power Internet of Things based on a transition matrix. The ubiquitous power Internet of Things includes generators. The method includes: S1, setting a marginal cost function of each of the generators, and extracting key cost parameters in the marginal cost function; S2, establishing an optimization model based on the key cost parameters of each of the generators and a communication topology of the ubiquitous power Internet of Things, and solving the optimization model to obtain an optimized transition matrix; and S3, generating a plan of a power output of each of the generators based on the optimized transition matrix and a distributed dispatch protocol to perform a distributed dispatch.

Abstract: The present disclosure provides a method and an apparatus for photovoltaic power forecast based on numerical weather prediction.

Abstract: The present disclosure provides a method and an apparatus for photovoltaic power forecast based on numerical weather prediction.