Volume 40: Energy Transitions toward Carbon Neutrality: Part III

Coordinated Optimal Operations for Integrated Community Energy System and Multiple Prosumers with Peer-to-Peer Behaviors Xiaoyu Wang, Xiaolong Jin, Hongjie Jia, Yunfei Mu, Wei Wei, Xiaodan Yu, Shuo Liang



Peer-to-Peer (P2P) multi-energy trading is crucial to improve the utilities and the local energy resource utilization of end-side prosumers. However, the benefits balance between the network operator (e.g., the integrated community energy system (ICES) operator) and the prosumers are not well addressed. In this context, this paper proposes a novel coordinated optimal operation method and an optimal network charge pricing strategy for the ICES operator to multiple prosumers with P2P behaviors. The interaction between the ICES operator and prosumers is modeled as a bi-level optimization problem. At the upper level, the ICES operator optimizes the electricity/heating network charge prices to maximize its network charge revenue, while considering the network constraints. At the lower level, prosumers optimize the P2P multi-energy trading schedules to minimize the operational cost. Moreover, to protect the information privacy of the ICES operator and prosumers, a distributed optimization method based on alternating direction method of multipliers (ADMM) is applied to solve this bi-level optimization problem. Finally, case studies demonstrate that the proposed method can effectively benefit both the ICES operator and prosumers in P2P multi-energy trading.

Keywords Integrated community energy system (ICES) operator, Prosumers, Alternating direction method of multipliers (ADMM), P2P multi-energy trading

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