Distributed power resource optimization scheduling method and system in blockchain environment

Abstract

The invention discloses a distributed power resource optimization scheduling method in a blockchain environment. The method comprises the steps that (1) a renewable energy calculation contract A, an output adjustment intelligent contract B, an output cooperation intelligent contract C and a transaction settlement intelligent contract D are deployed on a blockchain; (3) the contract A accumulates the total predicted power generation capacity of a renewable energy power generator and transmits the total predicted power generation capacity to the contract B; (4) the contract C generates a corresponding output adjustment signal according to the received auxiliary variable and transmits the output adjustment signal to the corresponding contract B; (5) the contract B adjusts the power price andthe power generation capacity of the power generator according to the received output adjustment signal, and judges whether the power price converges or not: the power generation capacity and the power price are transmitted to the contract D if the power price converges; otherwise, the power price is taken as an auxiliary variable for broadcasting; and (6) the contract D generates a transaction settlement contract according to the received power generation amount and price. According to the invention, the scheduling result is better, and the energy utilization rate is higher.

Description

technical field [0001] The present invention relates to electric power technology, in particular to a method and system for optimal dispatching of distributed power resources in a blockchain environment. Background technique [0002] With the promotion of Distributed Renewable Energy (DRE) and Demand Response (DR) technologies, the boundaries between generators and users in the distribution network are gradually blurring. The sheer number of these generators makes scheduling more difficult. The seasonal and intermittent nature of DRE makes it difficult to guarantee reliable supply, and even if non-renewable energy-driven generators can be used to meet user demand, it is difficult to determine dispatching strategies in a timely manner. [0003] DRE power generation resources have the characteristics of small capacity, large quantity, and wide distribution, which means that the centralized dispatching method faces problems such as high operating costs and long time consumptio...

AI Technical Summary

Problems solved by technology

The former allows the supply and demand sides to independently sign transaction contracts, mainly using the distributed database characteristics of the blockchain; while the latter uses smart contract technology to achieve centralized scheduling, but because the data used is a linearized cost function, the scheduling results are not optimized enough, energy utilization rate is not high

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