Robust Optimal Dispatching of Wind Fire Energy Storage System Based on Equilibrium Optimization Algorithm

• DOI: 10.3389/fenrg.2021.754908
• Publication Date: 2021-10-04T04:30:22Z
• Authors: Xiaojiao Chen; Liansheng Huang; Xiuqing Zhang; Shiying He; Zhicai Sheng; Zhenshang Wang; Tao Chen; Sheng Dou
• Keywords: solution framework; robust optimal dispatching; equilibrium optimization algorithm; A; 0211 other engineering and technologies; 02 engineering and technology; AA-CAES; wind fire energy storage; 7. Clean energy; General Works

The uncertainty of wind resources is one of the main reasons for wind abandonment. Considering the uncertainty of wind power prediction, a robust optimal dispatching model is proposed for the wind fire energy storage system with advanced adiabatic compressed air energy storage (AA-CAES) technology. Herein, the operation constraints of the power plant and constraints of the reserved capacity are defined according to the operation characteristics of AA-CAES. Based on the limited scenario method, a solution framework is proposed to achieve the optimal robustness and economical operation of the system, which provides a new way for the application of the intelligent algorithm in the robust optimal dispatching. Specifically, a novel equilibrium optimization algorithm is employed to solve the optimal dispatching problem, which has good global search performance. The proposed solution is validated through simulations based on the IEEE-39 node system. The simulation results verify the effectiveness of the proposed dispatching model and the intelligent solver.