Optimal peer-to-peer energy trading for buildings based on data envelopment analysis

Abstract

With the rapid development of distributed energy resource, more and more building users have installed photovoltaic (PV) modules on the rooftops and household energy storage systems (ESS). In this paper, an optimal peer to peer (P2P) energy trading method for building microgrid based on data envelopment analysis (DEA) is proposed. The method consists of a three-layer optimization model. The first layer of which optimizes the capacity allocation and scheduling for buildings participating in P2P energy trading. The second layer forms a cost-sharing scheme based on the shared contribution index of each building. The third layer optimization model proposes a dynamic pricing mechanism for P2P energy trading. In case studies, three possible scenarios are simulated, and the effectiveness of the proposed method is verified by applying comparative analysis.

Keywords

• P2P energy trading
• Microgrid
• DEA
• Optimized operation