A Control Algorithm Based on Two-Stage Aggregation for P2P Energy Trading in Community Microgrids

doi:10.11930/j.issn.1004-9649.202103029

Abstract

Abstract: In order to better realize peer-to-peer (P2P) energy trading, a two-stage aggregated control strategy is proposed. where only one measurement point and one-way communication from the measurement point to individual prosumers are required. In the first stage, the constrained non-linear programming (CNLP) optimization is used to minimize the energy costs of the community. In the second stage, a rule-based real-time control strategy is adopted. The proposed control algorithm is validated for its effectiveness through case simulation, and comparison has been carried out between different control algorithms to identify the most effective approach in reducing energy losses and prosumers’ energy bills.

Key words: peer to peer energy trading, prosumer, community microgrid, control algorithm

CHEN Peiyu, CHONG Zhiqiang, LI Shuqing, XI Xiaoguang, LI Zhenbin, WANG Huiyuan. A Control Algorithm Based on Two-Stage Aggregation for P2P Energy Trading in Community Microgrids[J]. Electric Power, 2022, 55(9): 64-69.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202103029

https://www.electricpower.com.cn/EN/Y2022/V55/I9/64

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