The Planning Method of the Multi-Energy Cloud Management Platform with Key Technologies and P2P Trade of Prosumers

To build a multi-energy cloud platform with the distributed generation, energy storage, micro-grid, flexible load, electric vehicle piles for high efficiency application is of great significance. In order to manage resources dispatching and trading in platform, this paper solves three problems. Firstly, present planning method. The modelling linear optimization algorithm prosumer’s self-balanced minimize cost quantity random bidding price are proposed. Secondly, key technologies realize information collection interaction, data model management summarized on basis demonstration project, faced be urgently solved. Thirdly, P2P trade small medium scaled communities affected by grid’s time-of-use tariff prosumers discussed. MATLAB simulation following uniformly sampling taken analyze consumers’ benefits behaviors. feasibility, methodology, technology mode analyzed based policy background, simulation. new topic, that needs more work do future real project.