Energy-Sharing Model With Price-Based Demand Response for Microgrids of Peer-to-Peer Prosumers

• Published in: IEEE transactions on power systems Vol. 32; no. 5; pp. 3569 - 3583
• Main Authors: Liu, Nian, Yu, Xinghuo, Wang, Cheng, Li, Chaojie, Ma, Li, Lei, Jinyong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-09-2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Demand; Demand response; Distributed generation; Economic models; Electric power grids; Energy conservation; Energy consumption; Energy management; energy sharing; Iterative methods; Load management; Microgrids; Peer-to-peer computing; Photovoltaic cells; Power demand; Pricing; smart grid; Solar cells; Supply & demand; Supply and demand
• ISSN: 0885-8950; 1558-0679
• DOI: 10.1109/TPWRS.2017.2649558

According to the feed-in tariff for encouraging local consumption of photovoltaic (PV) energy, the energy sharing among neighboring PV prosumers in the microgrid could be more economical than the independent operation of prosumers. For microgrids of peer-to-peer PV prosumers, an energy-sharing model with price-based demand response is proposed. First, a dynamical internal pricing model is formulated for the operation of energy-sharing zone, which is defined based on the supply and demand ratio (SDR) of shared PV energy. Moreover, considering the energy consumption flexibility of prosumers, an equivalent cost model is designed in terms of economic cost and users' willingness. As the internal prices are coupled with SDR in the microgrid, the algorithm and implementation method for solving the model is designed on a distributed iterative way. Finally, through a practical case study, the effectiveness of the method is verified in terms of saving PV prosumers' costs and improving the sharing of the PV energy.