Consensus?based decentralized energy trading for distributed energy resources

In smart grids, distributed energy resources (DERs) have penetrated residential zones to provide a new form of electricity supply, mainly from renewable energy. Residential households and commercial buildings with DERs become prosumers in the local since they can sell surplus power others. Researches been initiated integrate utilize through better control communication strategies. With advances Internet Things (IoT) technology, unprecedented coordination among be achieved facilitate trading transactive management. However, preventing leakage users' information during optimization process keeps challenging researchers, which drives them develop privacy-preserving management systems. this paper, we fully decentralized using consensus-based algorithm. To specific, design virtual pool for trade exchange IoT technologies' support. The algorithm enables obtain optimal schedule independently coordinated manner without revealing any personal data. We use real-world data perform simulations validate our developed results show that strategy is feasible significantly reduce overall system cost.