P2P Optimization Operation Strategy for Photovoltaic Virtual Power Plant Based on Asymmetric Nash Negotiation

Xiyao Gong (), Wentao Huang, Jiaxuan Li, Jun He and Bohan Zhang
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Xiyao Gong: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
Wentao Huang: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
Jiaxuan Li: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
Jun He: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
Bohan Zhang: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China

Sustainability, 2024, vol. 16, issue 14, 1-18

Abstract: Under the guidance of the “dual-carbon” target, the utilization of and demand for renewable energy have been growing rapidly. In order to achieve the complementary advantages of renewable energy in virtual power plants with different load characteristics and improve the rate of consumption, an interactive operation strategy for virtual power plants based on asymmetric Nash negotiation is proposed. Firstly, the photovoltaic virtual power plant is proposed to establish the optimal scheduling model for the operation of the virtual power plant, and then the asymmetric Nash negotiation method is adopted to achieve the fair distribution of benefits. Finally, the ADMM distribution is used to solve the proposed model in the solution algorithm. The simulation results show that the revenue enhancement rates are 28.27%, 1.09%, and 12.37%, respectively. The participating subjects’ revenues are effectively enhanced through P2P power sharing. Each subject can obtain a fair distribution of benefits according to the size of its power contribution, which effectively improves the enthusiasm of the PV virtual power plant to participate in P2P interactions and thus promotes the development and consumption of renewable energy.

Keywords: virtual power plant; photovoltaic; P2P; asymmetric Nash negotiation; cooperative game (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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