Research on Wind Power Energy Storage Joint Optimization Operation under the Double Detailed Rules Assessment Taking into Account the Benefits of Green Certificate

Jun Dong, Shiyao Lv, Yuan Zhu, Hui Han () and Guochang Zhang
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Jun Dong: Department of Economic Management, North China Electric Power University, Beijing 102206, China
Shiyao Lv: Department of Economic Management, North China Electric Power University, Beijing 102206, China
Yuan Zhu: Department of Economic Management, North China Electric Power University, Beijing 102206, China
Hui Han: CGN New Energy Holdings Co., Ltd., Beijing 100070, China
Guochang Zhang: CGN New Energy Holdings Co., Ltd., Beijing 100070, China

Sustainability, 2022, vol. 15, issue 1, 1-22

Abstract: Due to the uncertainty of wind power outputs, there is a large deviation between the actual output and the planned output during large-scale grid connections. In this paper, the green power value of wind power is considered and the green certificate income is taken into account. Based on China’s double-rule assessment system, the maximum net income of the wind farm is used as the target and the optimization model is established with the maximum income of the wind-energy storage consortium as the objective function at 96 points on a typical day. The particle swarm optimization algorithm with improved weight and learning factor is adopted to solve the model and the energy storage output characteristics are analyzed. At the same time, the effect of changing the deviation coefficient and the penalty factor on the combined income is compared. The example results show that the wind storage consortium improves the stability of output, effectively reduces the double-rule assessment cost, and increases the green certificate income of the new energy station, which verifies the validity and correctness of the proposed method.

Keywords: wind power; energy storage; the green certificate transaction; double-rule assessment system; particle swarm optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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