Increasing wind power integration and coal-fired unit retirements increases the strain on the power system's spinning reserve and increases the pressure on peak regulation.With the ability to stock extra power generation and supply the peak load,the energy storage system(ESS)can alleviate the rising demand on the spinning reserve and play an increasingly important role in the power system.In this paper,a tri-level robust ESS planning model is proposed to accommodate uncertain wind power investment as well as coal-fired unit retirement.The upper-level of this model is to determine the planning scheme of ESSs,which iteratively takes the worst-case scenario of wind power investment and coal-fired unit retirement into consideration.The middle-level and lower-level of this model are to make the optimal daily economic dispatch under the worst-case realizations of uncertainties.We derive an equivalent reformulation of the proposed robust ESS planning model and solve it with a dual column-and-constraint generation algorithm.Case studies are conducted using the IEEE RTS-79 system.The results demonstrate the superiority of the proposed planning method in comparison with other methods.Furthermore,the effects of the capital cost of ESS,the expected proportion of wind power,and the uncertainty budget on the development of ESS are studied.Taking the uncertainties of unit retirement and wind power investment into consideration achieves a better trade-off between the ESS investment cost and the operational cost.

Dundun Liu;Shenxi Zhang;Haozhong Cheng;Lu Liu;Zheng Wang;Da Sang;Ruijin Zhu

Key Laboratory of Control of Power Transmission and Conversion,Ministry of Education,Shanghai Jiao Tong University,Shanghai 200240,China;State Grid East China Branch,Shanghai 200002,China;State Grid Shanghai Municipal Electric Power Company,Shanghai 200002,China

中国电机工程学会电力与能源系统学报（英文版）

[1]Dundun Liu;Shenxi Zhang;Haozhong Cheng;Lu Liu;Zheng Wang;Da Sang;Ruijin Zhu-.Accommodating Uncertain Wind Power Investment and Coal-fired Unit Retirement by Robust Energy Storage System Planning)[J].中国电机工程学会电力与能源系统学报（英文版）,2022(05):1398-1407

Accommodating,retirements,reformulation

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