Cooperative decentralized peer‐to‐peer electricity trading of nanogrid clusters based on predictions of load demand and PV power generation using a gated recurrent unit model

This paper presents an approach to the power management of nanogrid clusters assisted by a novel form peer-to-peer (P2P) electricity trading. DC nanogrids have lower loss in real time and are suitable for P2P Here, cost involving different kinds photovoltaic (PV) production (as secondary source) is reduced newly proposed trading scheme. For individual clusters, multi-objective optimization applied minimize simultaneously total consumption, grid delay incurred locally scheduling. The temporal surplus self-supplied PV cluster can be sold through another subjected shortage. In trading, cooperative game model used buyers sellers maximize their welfare. To increase efficiency, prediction load demand considered each resolve instantaneous imbalances between production. A gated recurrent unit network forecast future could reduce 29.2%.