Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 13, Issue 3, Pages 1315-1328Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2022.3154145
Keywords
Microgrids; Batteries; Pricing; Real-time systems; Energy storage; Peer-to-peer computing; Costs; Energy router; pricing; energy storage system; multi-objective evolutionary algorithm; peer-to-peer prosumer
Categories
Funding
- State Grid Hubei Electric Power Company Science and Technology Project [52153820000H, TSTE-00954-2021]
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This paper proposes a novel approach to optimize the charging/discharging schedule of battery energy storage systems in the microgrids of prosumers based on the energy router-based energy sharing structure, aiming to improve each prosumer's revenue with the arbitrage scheme in the peer-to-peer energy trading market.
The concept of a microgrid of prosumers is demanded for the efficient utilization of renewable energy and the flexible energy trading between prosumers. This paper proposes a novel approach to optimize the charging/discharging schedule of battery energy storage systems in the microgrids of prosumers based on the energy router-based energy sharing structure. The proposed model aims to improve each prosumer's revenue with the arbitrage scheme in the peer-to-peer energy trading market. A novel internal pricing mechanism is presented according to the sharing energy in the prosumer community. A multi-objective evolutionary algorithm is implemented to solve the optimal solutions, and the fuzzy-decision-making method is used to select the schedule from the Pareto frontiers. The simulation results show that each prosumer's profit has been increased under different scenarios compared with the optimal profit of independent operation in the utility grid, with the reduction of the energy interchanged with the grid and the increase of the energy storage system life time. The experimental platform validates the feasibility of the energy router-based energy sharing structure for microgrids of prosumers.
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