储能科学与技术 ›› 2025, Vol. 14 ›› Issue (3): 1210-1223.doi: 10.19799/j.cnki.2095-4239.2024.0836

• 储能新锐科学家专刊 • 上一篇    下一篇

基于改进TOPSIS-ANP-CRITIC的共享储能全寿命周期效益评估

段双明1(), 吕腾飞1, 李军徽1, 赵志强2, 刘浩军2, 郑羽翊1   

  1. 1.现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林 吉林 132012
    2.国网哈密供电公司,新疆 哈密 839000
  • 收稿日期:2024-09-06 修回日期:2024-10-31 出版日期:2025-03-28 发布日期:2025-04-28
  • 通讯作者: 段双明 E-mail:duansm@neepu.edu.cn
  • 作者简介:段双明(1984—),男,博士,高级实验师,主要研究方向为新能源发电运行控制,E-mail:duansm@neepu.edu.cn
  • 基金资助:
    新疆维吾尔自治区重点研发任务专项项目(2022B01019-1)

Life cycle benefit evaluation of shared energy storage based on improved TOPSIS-ANP-CRITIC

Shuangming DUAN1(), Tengfei LV1, Junhui LI1, Zhiqiang ZHAO2, Haojun LIU2, Yuyi ZHENG1   

  1. 1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, Jilin, China
    2.State Grid Hami Power Supply Company, Hami 839000, Xinjiang, China
  • Received:2024-09-06 Revised:2024-10-31 Online:2025-03-28 Published:2025-04-28
  • Contact: Shuangming DUAN E-mail:duansm@neepu.edu.cn

摘要:

针对共享储能全寿命周期效益评估方法不足的问题,提出一种结合指标相关性的指标权重确定(criteria importance through intercriteria correlation,CRITIC)法与网络层次分析(analytic network process,ANP)法的改进逼近理想解排序(technique for order preference by similarity to an ideal solution,TOPSIS)法的评价方法。首先,根据我国共享储能的运作模式建立了以经济、环境、市场和社会效益作为基础指标的综合评价体系;其次,通过邀请专家根据ANP法打分得到主观权重,以及应用CRITIC法对数据的相关性进行计算得到客观权重,然后使用组合赋权法以同等权重将CRITIC法与ANP法确定出的各指标权重组合得到组合权重,确保更重要的因素在决策过程中起到更大的作用,且进一步提高了数据利用率;最后,为解决传统TOPSIS法呈现结果形式单一的问题,通过引入目标方案改进TOPSIS法相对贴近度的计算方式,更直观地反映出共享储能的发展趋势,实现各方案间的横向与纵向评估对比。以某共享储能实际试点项目作为算例进行评估,得到项目的整体发展趋势以及各典型年的排名,在纵向评价中环保效益贴近度和市场效益贴近度在第15个典型年超过了预期目标,分别为1.013和1.011,在横向排名中第15个典型年位列第1。评估结果表明本文所提评估方法可以准确评估共享储能的发展趋势,对共享储能的建设具有重要指导作用。

关键词: 共享储能, TOPSIS, 综合评价体系, CRITIC, ANP

Abstract:

Addressing the inadequacies in existing benefit assessment methods throughout the full life cycle of shared energy storage, this paper proposes an evaluation approach that combines the Criteria Importance Through Intercriteria Correlation (CRITIC) method with the Analytic Network Process (ANP) to enhance the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). First, a comprehensive evaluation system is established using economic, environmental, market, and social benefits as fundamental indicators, in accordance with the operational mode of shared energy storage in China. Next, experts are invited to assign scores using the ANP to derive subjective weights, while the CRITIC method calculates data correlations to determine objective weights. Then, a combined weighting method integrates the weights from the ANP and CRITIC methods equally, ensuring that more important factors exert greater influence in decision making and further enhancing data utilization. Finally, to overcome the limitation of traditional TOPSIS in providing results in a single form, the calculation of relative closeness to the ideal solution is refined by incorporating target scenarios that more intuitively reflect the development trend of shared energy storage and facilitate both horizontal and vertical evaluation comparisons among various scenarios. A pilot project of shared energy storage is employed as a case study, yielding the overall development trend of the project and the rankings of typical years. In the vertical evaluation, the closeness degrees to the expected targets for environmental and market benefits in the 15th typical year are 1.013 and 1.011, respectively, exceeding the expected targets, and in the horizontal ranking, the 15th typical year ranks first. The evaluation results validate that the proposed assessment method can accurately assess the development trend of shared energy storage and provide essential guidance for its construction.

Key words: shared energy storage, TOPSIS, comprehensive evaluation system, CRITIC, ANP

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