With the rapid development of the wind power value chain, the selection of appropriate node companies has become the focus of wind power alliance, especially in the value chain of energy storage. Through the optimization of the selection of energy storage node enterprises, the role of energy storage in the wind power value chain can be better utilized. At the same time, the optimal selection of energy storage nodes can accelerate the realization of value increment in the wind power value chain. In this study, we combine Interval type-2 fuzzy number and Grey Theory the Interval type-2 fuzzy number with Cumulative Prospect Theory, which is called IGCPT, and select the optimal energy storage nodes in the value chain based on it. First, considering the sustainable development of the entire value chain, 10 decision criteria from the four dimensions of BOCR: benefits, opportunities, costs, and risks are determined. Based on this, the IGCPT method is used to select the optimal scheme, and an optimization model is proposed to determine the significance of the criteria. Then, through the comparative analysis of the multi-criteria decision-making method and the sensitivity analysis of the obtained results, it is shown that the method can be effectively applied to the selection of energy storage nodes in the wind power value chain. Finally, suggestions and conclusions for the selection of wind power value chain node companies are given.

中文翻译：

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基于改进累积前景理论的我国储能节点优化选择

随着风电价值链的快速发展，选择合适的节点公司成为风电联盟关注的重点，尤其是在储能价值链上。通过优化储能节点企业的选择，可以更好地发挥储能在风电价值链中的作用。同时，储能节点的优化选择可以加速实现风电价值链中的价值增值。在本研究中，我们将区间 2 型模糊数和灰色理论将区间 2 型模糊数与累积前景理论（称为 IGCPT）相结合，并在此基础上选择价值链中的最佳储能节点。一、考虑整个价值链的可持续发展，10个决策标准从BOCR四个维度确定：收益、机会、成本和风险。在此基础上，采用IGCPT方法选择最优方案，并提出优化模型来确定准则的显着性。然后，通过多准则决策方法的对比分析和所得结果的敏感性分析，表明该方法可以有效地应用于风电价值链中储能节点的选择。最后，对风电价值链节点公司的选择提出建议和结论。然后，通过多准则决策方法的对比分析和所得结果的敏感性分析，表明该方法可以有效地应用于风电价值链中储能节点的选择。最后，对风电价值链节点公司的选择提出建议和结论。然后，通过多准则决策方法的对比分析和所得结果的敏感性分析，表明该方法可以有效地应用于风电价值链中储能节点的选择。最后，对风电价值链节点公司的选择提出建议和结论。