Deep peak shaving method of electrolytic aluminum load cooperating with thermal power and energy storage system based on Wasserstein distance distribution robust

LIU Xinming; WANG Haiyun

doi:10.19666/j.rlfd.202403083

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Deep peak shaving method of electrolytic aluminum load cooperating with thermal power and energy storage system based on Wasserstein distance distribution robust

更新时间：2025-09-28

- Deep peak shaving method of electrolytic aluminum load cooperating with thermal power and energy storage system based on Wasserstein distance distribution robust
- Thermal Power Generation Vol. 53, Issue 8, Pages: 152-162(2024)
- 作者机构：
  
  新疆大学电气工程学院可再生能源发电与并网控制教育部工程研究中心
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202403083
  CLC： TF821;TM621
- Published：2024
- 稿件说明：
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LIU Xinming, WANG Haiyun. Deep peak shaving method of electrolytic aluminum load cooperating with thermal power and energy storage system based on Wasserstein distance distribution robust[J]. Thermal power generation, 2024, 53(8): 152-162.
DOI：

LIU Xinming, WANG Haiyun. Deep peak shaving method of electrolytic aluminum load cooperating with thermal power and energy storage system based on Wasserstein distance distribution robust[J]. Thermal power generation, 2024, 53(8): 152-162. DOI： 10.19666/j.rlfd.202403083.

摘要

大规模的风电并网致使现有系统调峰资源难以为继，风电消纳受阻。为此，文中综合考虑风电出力与电价的不确定性，提出一种基于Wasserstein距离的电解铝负荷协同火储深度调峰分布鲁棒优化方法。首先，结合电解铝的负荷特性，计及储能辅助火电机组优化深度调峰容量，建立了电解铝负荷协同火储深度调峰的电力系统优化框架；其次，借鉴Wasserstein距离的分布鲁棒模型的思想，构建了上级电网购售电价与可再生能源出力的Wasserstein模糊集约束，设计了电解铝负荷协同火储深度调峰的分布鲁棒优化模型；最后，通过仿真分析验证了所提方法可有效降低系统运行成本，改善系统调峰压力，促进风电消纳，通过对比分析验证了其方法的经济性和鲁棒性。

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.

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