Game Theoretic-Based Firm-Energy Allocation Strategy of Wind-Solar-Hydro Energy System

In this paper, we use firm-energy (FE) to describe the sustainable power supply capacity of renewable energy power stations and study the FE allocation strategy of wind-solar-hydro energy system based on cooperative game theory. Specifically, we use Latin hypercube sampling and k-means clustering algorithm to characterize the uncertainty of renewable energy, obtain the probability of occurrence of each typical scenario, and establish a multi-stakeholder joint operation model to maximize FE. Then, Shapley value method, Nash bargaining method and nucleolus method were used to allocate the additional FE of the combined system. Finally, the characteristics of different allocation methods are discussed with case study. The results show that the joint operation of renewable energy power stations is conducive to improving the sustainable power generation capacity of the power station, and the FE of the wind-solar-hydro energy system is increased by about 28.2%.