闫丽梅,胡嘉楠,赵书琪
YAN Limei,HU Jianan,ZHAO Shuqi

• 1:东北石油大学电气信息工程学院

摘要(Abstract)：

传统新能源场站储能模式成本较高，而共享储能可以降低建设和运营成本，提高经济收益。基于此，建立了考虑新能源出力不确定性和多典型场景的共享储能鲁棒优化模型。首先，以运行成本最低为目标，建立考虑运行控制的共享储能容量配置模型，并在Nested C&CG（嵌套列与约束生成）算法中引入场景求和机制，对优化模型进行求解，以获得联盟最大收益；然后，计算各种场站组合情况下的联盟收益。基于Shapley值法，根据各场站对联盟总收益的贡献程度，计算各场站的分配收益，实现收益的公平分配。最后，以我国新疆某新能源场站群为例进行仿真分析，得到共享储能配置和运行方案，并分析新能源出力的不确定性对配置结果的影响。实验结果表明，所提共享储能模式可有效提高新能源场站群的收益，具有较高的实际应用价值。
Traditional energy storage models for renewable energy stations incur high costs, while shared energy storage can reduce construction and operational expenses and enhance economic benefits. Based on this, a robust optimization model for shared energy storage considering renewable energy output uncertainty and multiple typical scenarios is established. First, with the objective of minimizing operational costs, a capacity allocation model for shared energy storage incorporating operational control is developed. A scenario summation mechanism is introduced into the nested column-and-constraint generation(Nested C&CG) method to solve the optimization model and obtain the maximum alliance benefits. Then, the alliance benefits under various station combinations are calculated.Based on the Shapley value, the allocation benefits for each station are determined according to their contribution to the total alliance benefits, ensuring fair distribution of profits. Finally, a simulation analysis is conducted using a renewable energy station cluster in Xinjiang, China, as an example, to derive the shared energy storage configuration and operational plan. The impact of renewable energy output uncertainty on the configuration results is also analyzed. Experimental results demonstrate that the proposed shared energy storage model can effectively increase the benefits of renewable energy station clusters and has high practical application value.

关键词(KeyWords)： 新能源场站;共享储能;鲁棒优化;Shapley值法
renewable energy station;shared energy storage;robust optimization;Shapley value

Abstract:

Keywords:

基金项目(Foundation): 黑龙江省自然科学基金项目（LH2019E016）

作者(Author): 闫丽梅,胡嘉楠,赵书琪
YAN Limei,HU Jianan,ZHAO Shuqi

DOI: 10.19585/j.zjdl.202504012

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