Massive Multi-source Joint Outbound and Benefit Distribution Model Based on Cooperative Game

Abstract

The power system must combine new energy and thermal power transmission to address the issue of wind and solar dissipation due to the large-scale distribution of new energy in China and its distance from the load center. The dynamic coordinated scheduling model of wind, photovoltaic, and thermal power is developed to maximize the profit of energy complementary delivery system, and an improved ant lion optimization algorithm is proposed in order to study the coordinated scheduling and benefit distribution of wind, photovoltaic, and thermal power. This paper introduces the principle of benefit distribution under cooperative mode and distributes the benefits of joint operation of the three parties based on the improved Shapley value method, which distributes the benefits of each party according to the contribution of each party to the joint proceeds, based on the profit level of joint outbound and independent outbound modes. The results of the analysis reveal that the upgraded ant lion optimization algorithm finds the global optimal solution in the feasible zone more easily, as well as the superiority and feasibility of the suggested three-party combined scheduling model and profit sharing approach.