Community Energy Cooperation With the Presence of Cheating Behaviors
Shichang Cui, Yan‐Wu Wang, Yang Shi, Jiang‐Wen Xiao
Abstract
This article investigates the energy cooperation between photovoltaic prosumers and community energy storage (CES) to improve community energy efficiency. The optimal energy sharing profiles between prosumers and CES are firstly derived by solving the energy optimization problem minimizing social energy cost. To guarantee the incentives for prosumers and CES to participate in the energy cooperation, a Nash bargaining based benefits sharing model is presented to determine the energy sharing payments. Two implementation modes, i.e., Data-Centric and Prosumers-to-CES mode, are developed to protect privacy for both prosumers and CES. Cheating behaviors in benefits sharing, the critical yet challenging matter, are analyzed; a cheating equilibrium based solution is proposed and achieved by a relaxation algorithm for a stable cooperation. In addition, the alternating direction method of multipliers with adaptive parameter selection is introduced to solve the formulated problems in a distributed way. Numerical simulation tests show the efficiency of the novel models.