基于模糊层次分析法-TOPSIS的多元化储能典型场景适用性评估

胡迎迎; 李强; 张琳娜; 邵亚林; 吉喆; 王凯凯

胡迎迎,李强,张琳娜,邵亚林,吉喆,王凯凯.基于模糊层次分析法-TOPSIS的多元化储能典型场景适用性评估[J].电测与仪表,2024,61(6):126-132.
HU Yingying,LI Qiang,ZHANG Linna,SHAO Yalin,JI Zhe,WANG Kaikai.Applicability evaluation of diversified energy storage typical scenarios based on fuzzy analytic hierarchy process-TOPSIS[J].Electrical Measurement & Instrumentation,2024,61(6):126-132.

基于模糊层次分析法-TOPSIS的多元化储能典型场景适用性评估

Applicability evaluation of diversified energy storage typical scenarios based on fuzzy analytic hierarchy process-TOPSIS

DOI：10.19753/j.issn1001-1390.2024.06.017

中文关键词: 储能应用场景储能适用性评估模糊层次分析法 TOPSIS 评估指标体系

英文关键词:energy storage application scenarios, assessment of energy storage applicability, fuzzy analytic hierarchy process, TOPSIS, evaluation index system

基金项目:国网山西省电力有限公司科技项目(SGSXJY00PSJS2000028)

作者中文名	作者英文名	单位
胡迎迎	HU Yingying	国网山西省电力公司经济技术研究院
李强	LI Qiang	国网山西省电力公司经济技术研究院
张琳娜	ZHANG Linna	国网山西省电力公司
邵亚林	SHAO Yalin	国网山西省电力公司经济技术研究院
吉喆	JI Zhe	国网山西省电力公司经济技术研究院
王凯凯	WANG Kaikai	国网山西省电力公司经济技术研究院

摘要点击次数: 1096

中文摘要:

储能技术的不断发展，使得储能类型逐渐多元化，各类储能性能各异。为提高典型应用场景下储能选型的适用性，文章提出了基于模糊层次分析与TOPSIS(technique for order preference by similarity to an ideal solution)相结合的典型场景下储能适用性评估方法。利用层次分析法，根据多元化储能6个典型应用场景，构建了评估指标体系，并采用带权重的TOPSIS确定了指标权重。基于模糊综合评估法原理，通过专家对现场运行数据评估好坏，确定指标隶属度并建立模糊关系矩阵，完成典型场景下储能适用性评估。根据综合评估分值，对典型场景下储能的适用性进行了分析。评估结果与不同场景的储能需求分析结果相一致，验证了所提评估指标体系与评估方法的有效性。

英文摘要:

The continuous development of energy storage technology has led to a gradual diversification of energy storage types and varying energy storage performance. To improve the applicability of energy storage selection in typical application scenarios, this paper proposes a method for evaluating the applicability of energy storage in typical scenarios based on a combination of fuzzy analytic hierarchy process and TOPSIS. Firstly, an evaluation index system is constructed based on six typical application scenarios of diversified energy storage by using analytic hierarchy process (AHP), and the index weights are determined by using TOPSIS with weights. Then, based on the principle of fuzzy comprehensive evaluation method, experts evaluate the quality of on-site operation data, determine the membership degree of indicators, and establish a fuzzy relationship matrix to complete the evaluation of energy storage applicability in typical scenarios. Finally, based on the comprehensive evaluation score, the applicability of energy storage in typical scenarios is analyzed. The evaluation results are consistent with the analysis results of energy storage requirements in different scenarios, verifying the effectiveness of the proposed evaluation index system and evaluation method.

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