基于FAHP-EWM-TOPSIS方法的抽水蓄能容量收益分配方法

Youxiang Wang, Linbo Zhang, Zhuochen Guo, Kai Chen, Yunchen Yang, Xu Zhao, Li Feng
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摘要

在“双碳目标”战略背景下,清洁能源在区域电网中的装机容量和比重逐年提高。抽水蓄能作为优质、灵活的电网调节资源,在更大范围内提高资源优化配置、最大限度地利用清洁能源、保障电网安全稳定运行方面发挥着越来越突出的作用。为促进抽水蓄能的健康发展,规定将抽水蓄能的容量电力收入纳入输配电价回收。但是,该文件并未明确具体的分配方式,以及如何完善基于抽水蓄能功能和服务的多省电网容量电力收入分配方式。本文首先从抽水蓄能的功能和使用条件出发,建立了抽水蓄能的“安全-环境-经济”综合评价指标。其次,提出了一种基于模糊层次分析法的抽水蓄能容量需求综合评价方法。熵权法(FAHP)EWM——通过与理想溶液法(缩写为EWM)相似度来确定顺序偏好的技术。构建TOPSIS方法对各省区抽水蓄能容量需求进行分析,并进行敏感性分析。最后,根据某区域电网的实际数据,通过案例分析确定各省区抽水蓄能容量的综合需求,为抽水蓄能的容量配置提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Allocation Method of Pumped Storage Capacity Revenues Based on FAHP-EWM-TOPSIS Method
Under the context of the "dual carbon goals" strategy, the installed capacity and proportion of clean energy in regional power grids have been increasing year by year. Pumped storage, as high-quality and flexible grid regulation resources, have played an increasingly prominent role in improving the optimization of resource allocation, maximizing the consumption of clean energy, and ensuring the safe and stable operation of the power grid on a larger scale. In order to promote the healthy development of pumped storage, it is stipulated that the capacity electricity revenues of pumped storage shall be included in the transmission and distribution price recovery. However, the document does not specify the specific allocation method, and how to improve the allocation method of capacity electricity revenues in multiple provincial power grids based on functions and services of pumped storage. This paper first establishes a comprehensive evaluation index of "safety-environment-economy" for pumped storage based on the functions and services conditions. Secondly, a comprehensive evaluation method for the capacity demand of pumped storage based on fuzzy analytic hierarchy process(abbr. FAHP)-entropy weight method(abbr. EWM)-technique for order preference by similarity to an ideal solution method(abbr. TOPSIS) method is constructed to analyze the capacity demand of pumped storage in various provinces and regions, and sensitivity analysis is performed. Finally, based on actual data from a certain regional power grid, the comprehensive demand for pumped storage capacity in various provinces and regions is determined through case analysis, providing reference for the allocation of capacity of pumped storage.
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