基于层次分析和改进逼近理想解法的分层储能系统综合评估

雷琪; 苗世洪; 郭宝甫; 孙芊; 叶畅

引用本文:	雷琪,苗世洪,郭宝甫,等.基于层次分析和改进逼近理想解法的分层储能系统综合评估[J].电力系统保护与控制,2017,45(3):13-19.
	LEI Qi,MIAO Shihong,GUO Baofu,et al.Comprehensive evaluation of hierarchical storage system based on analytic hierarchy process and improved technique for order preference by similarity to ideal solution[J].Power System Protection and Control,2017,45(3):13-19

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基于层次分析和改进逼近理想解法的分层储能系统综合评估
雷琪¹,苗世洪¹,郭宝甫²,孙芊³,叶畅¹
(1.强电磁工程与新技术国家重点实验室(华中科技大学)，湖北武汉 430074;2.许继集团有限公司，河南许昌 461000;3.国网河南省电力公司电力科学研究院，河南郑州 450052)

摘要:

为了评估分层储能系统用于含高渗透光伏发电区域配电网中的适用性问题，考虑其平抑光伏出力及为电网提供辅助服务等实际功能，提出考虑多利益主体的分层储能系统综合评估指标体系，基于层次分析法(AHP)和改进逼近理想解法(TOPSIS)提出了多模型综合评估算法。针对层次分析法中判断矩阵生成权重的主观性问题，引入变异系数法计算客观权重，并改进了逼近理想解排序法中的判定策略，提出基于距离接近度与夹角接近度的综合判断方法，进一步提高评估结果的精度。算例表明:所提出的指标体系具有较好的完备性，综合赋权方法可以提升、发掘优势指标，改进的综合评估算法可信度更高，对分层储能系统的推广应用有一定的实际意义。

关键词: 分层储能系统综合评估层次分析法逼近理想解法变异系数

DOI：10.7667/PSPC160182

分类号:

基金项目:2015年国家电网公司科技项目(SGHADK00PJJS1 500060)

Comprehensive evaluation of hierarchical storage system based on analytic hierarchy process and improved technique for order preference by similarity to ideal solution

LEI Qi¹,MIAO Shihong¹,GUO Baofu²,SUN Qian³,YE Chang¹

(1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;2. XJ Group Corporation, Xuchang 461000, China;3. Electric Power Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450052, China)

Abstract:

In order to evaluate the applicability of hierarchical storage system (HSS) used in regional distribution network with high permeability photovoltaic, the HSS index system for multi-interest subject is proposed considering its practical functions as smoothing photovoltaic output and providing ancillary service, and the comprehensive evaluation algorithm based on analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) is established. Furthermore, the variation coefficient method is adopted to solve subjective deviation problem of judgment matrix by calculating the objective weight, and the improved TOPSIS method considering distance approach degree and angle approach degree is used to increase the evaluation precision. Numerical results show that the HSS index system has preferable completeness feature, the synthetic weighting method can locate the important index, the results of improved comprehensive evaluation algorithm is more authentic and the work in this paper is meaningful for HSS application. This work is supported by 2015 Science and Technology Project of State Grid Corporation of China (No. SGHADK00PJJS1500060).

Key words: hierarchical storage system comprehensive evaluation AHP TOPSIS variation coefficient

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