Extensible energy management collaboration method for community containing large-scale prosumers

Abstract

The invention discloses an extensible energy management collaboration method for a community containing large-scale prosumers. The method comprises the following steps: firstly, providing a method which combines parameter sharing with a priority depth deterministic strategy gradient algorithm, and improving the learning efficiency and reducing the training difficulty through strategies and experience sharing between agents; secondly, constructing an end-to-end transaction platform to cooperate with electric energy transactions and sharing of prosumers in a community; executing reward correction to avoid a rebound peak value to protect the safe operation of a local power distribution network; providing global information related to a community market for the prosumers through a credible third party, so as to protect the privacy of the prosumers, effectively reduce the non-static property of an environment, and improve the expandability of an algorithm. Finally, through verification of the embodiment, the method can assist interaction and collaborative optimization of producers in a large-scale energy community, privacy information of the producers is protected, the operation cost of the producers is reduced, and compared with the prior art, the operation efficiency is improved, and the operational complexity is reduced.

Description

technical field [0001] The invention belongs to the field of power system operation and regulation, and specifically relates to a scalable energy management collaborative method for communities containing large-scale prosumers. Background technique [0002] With the improvement of DER penetration rate on the electricity consumption side and the development of smart metering, two-way communication and Internet of Things technologies, traditional electricity consumers are gradually transforming into prosumers who can manage their own electricity consumption, generation and storage. At the same time, the bidirectional power flow generated by DER is volatile and low-controllable, which brings more challenges to the stable and economical operation of the power system. In this context, the traditional retail electricity market model is no longer applicable, and it is urgent to explore a new market model that can promote efficient collaboration between producers and consumers and m...

AI Technical Summary

Problems solved by technology

The former has deficiencies such as low prosumer expertise, bidding, and electricity sales model instability, low scalability from small systems to large systems, and poor convergence. The latter has high communication costs, single-point failure, low scalability, and Invasion of user privacy and other shortcomings, limited in practical applications

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