Bi-level Capacity Optimization for Battery/Thermal Energy Storage System in Multi-energy Complementary Power Generation System

Multi-energy complementary power generation system can fully utilize the complementary advantages of wind-PV-thermal-battery sources and improve energy efficiency. It is of great significance for the construction of low-carbon new power system. Capacity coordinated optimization of battery/thermal energy storage in multi-energy complementary power generation system can reduce the investment costs of power system, and improve the utilization rate of renewable energy and continuous power supply. In this paper, multi-energy complementary power generation system with wind-PV-thermal-battery sources is studied, and a bi-level capacity coordinated optimization model of this system is established. The upper-level model optimizes the capacity of battery/thermal energy storage with the maximum annual net income of this system. The lower-level model optimizes the power shortage in this system, and optimize the generation operation status of this system by considering the constraints such as continuous power supply, wind-PV-thermal-battery sources operation, utilization rate of renewable energy, etc. To solve this bi-level model, a linearization method for nonlinear constraints model is proposed, and a heuristic algorithm based on the combination of value function and branch-bound is designed to obtain the efficient solution. Based on a typical example of multi-energy complementary power generation system, the experimental results verify the effectiveness of the proposed bi-level model and algorithm.