热力发电2024，Vol.53Issue(8)：152-162,11.DOI:10.19666/j.rlfd.202403083
基于Wasserstein距离分布鲁棒的电解铝负荷协同火储深度调峰方法研究
Deep peak shaving method of electrolytic aluminum load cooperating with thermal power and energy storage system based on Wasserstein distance distribution robust
摘要
Abstract
The large-scale integration of wind power into grid makes it difficult to sustain the peak regulation resources of the existing system,and the wind power consumption is hindered.Therefore,considering the uncertainty of wind power output and electricity price,it proposes a distribution robust optimization method for deep peak regulation of electrolytic aluminum load cooperating with thermal power and energy storage system based on Wasserstein distance.Firstly,combined with the load characteristics of electrolytic aluminum,considering the optimization of deep peak regulation capacity of the energy storage auxiliary thermal power units,an electric power system optimization framework for deep peak shaving of the electrolytic aluminum load and thermal power-energy storage system is established.Secondly,drawing on the idea of the robust model of Wasserstein distance distribution,the Wasserstein fuzzy set constraint of the purchase and sale price of the upper power grid and the output of renewable energy is constructed,and the distribution robust optimization model for deep peak regulation of the electrolytic aluminum load and thermal power-energy storage system is designed.Finally,simulation is performed to verify that the proposed method can effectively improve the peak regulation pressure,reduce the operating cost of the system,and promote the consumption of wind power.The economics and robustness of the method are verified by comparative analysis.关键词
Wasserstein距离/电解铝负荷/深度调峰/分布鲁棒/不确定性Key words
Wasserstein distance/electrolytic aluminum load/deep peak shaving/robust distribution/uncertainty引用本文复制引用
刘昕明,王海云..基于Wasserstein距离分布鲁棒的电解铝负荷协同火储深度调峰方法研究[J].热力发电,2024,53(8):152-162,11.基金项目
新疆维吾尔自治区重点研发计划(2022B01020-3) Key Research and Development Program of Xinjiang Uygur Autonomous Region(2022B01020-3) （2022B01020-3）
