A Revenue-Cost Sharing Methodology for the Peer-to-Peer Energy Trading in a Residential Community

Generally, the low selling price of energy to the utility has increased local prosumers' tendency to exchange their surplus power with their neighbors at the distribution level. Nonetheless, to this end, providing an appropriate paradigm based on Peer-to-Peer (P2P) energy trading is highly required. Accordingly, this research work seeks to present a new revenue-cost sharing methodology for trading the generated energy as well as the storage capacity of several types of households with one another in a residential community. The proposed algorithm implements an energy management program in a way to not only optimize the performance of the residential community but also minimize its total operating costs. On the other hand, to determine the P2P electricity price and calculate the electricity cost of each household, one pricing mechanism according to traded powers is employed in this study. In the end, to assess the efficiency of the raised P2P framework, the optimal operation of a typical community in the presence of wide ranges of real as well as virtual resources in two case studies, without and with considering P2P energy sharing, is investigated and compared.