基于组合赋权和改进灰色关联分析的配电网可靠性影响因素研究

doi:10.11985/2022.01.006

电气工程学报 ›› 2022, Vol. 17 ›› Issue (1): 41-48.doi: 10.11985/2022.01.006

所属专题：特邀专栏：电力电子化配电网关键设备和运行控制

• 特邀专栏: 电力电子化配电网关键设备和运行控制 • 上一篇下一篇

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基于组合赋权和改进灰色关联分析的配电网可靠性影响因素研究

王梦帆¹(), 郑建勇¹(), 梅飞²()

1.东南大学电气工程学院南京 210096
2.河海大学能源与电气学院南京 211100

收稿日期:2021-12-04 修回日期:2022-02-20 出版日期:2022-03-25 发布日期:2022-05-06
通讯作者: 郑建勇 E-mail:wangmengfan117@163.com;jy_zheng@seu.edu.cn;meifei@hhu.edu.cn
作者简介:王梦帆,女,1997年生,硕士研究生。主要研究方向为配电网可靠性。E-mail： wangmengfan117@163.com;
梅飞,男,1982年生,博士,讲师。主要研究方向为新能源发电技术、电气设备在线监测与故障诊断。E-mail： meifei@hhu.edu.cn

Research on Influencing Factors of Distribution Network Reliability Based on Combination Empowerment and Improved Grey Correlation Analysis

WANG Mengfan¹(), ZHENG Jianyong¹(), MEI Fei²()

1. School of Electrical Engineering, Southeast University, Nanjing 210096
2. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100

Received:2021-12-04 Revised:2022-02-20 Online:2022-03-25 Published:2022-05-06
Contact: ZHENG Jianyong E-mail:wangmengfan117@163.com;jy_zheng@seu.edu.cn;meifei@hhu.edu.cn

摘要/Abstract

摘要：

为了对配电网可靠性进行准确、快速评估,为合理选择可靠性提升措施提供依据,构建了基于组合赋权和改进灰色关联分析的可靠性评估及其影响因素分析模型。首先,采用G1-CRITIC法(Order relation analysis method-criteria importance though intercrieria correlation,G1-CRITIC)并结合基于最小二乘的组合赋权模型进行合理赋权,确定可靠性综合评价指标。其次,选取关键因素构建可靠性影响因素指标体系。然后,引入动态分辨系数增强数据差异性以弥补传统灰色关联分析的不足,并结合理想解法(Technique for order preference by similarity to an ideal solution,TOPSIS)思想,计算各影响因素相对于可靠性综合评价指标的综合灰色关联度并排序,作为可靠性提升措施参考依据。最后,通过实际算例验证所提方法的有效性。

关键词: 配电网可靠性, 组合赋权, 灰色关联分析, 动态分辨系数, 理想解法

Abstract:

In order to accurately and quickly evaluate the reliability of distribution network and provide a basis for reasonable selection of improvement measures, a reliability evaluation and influencing factor analysis model based on empowerment and improved grey correlation analysis is constructed. Firstly, the G1-CRITIC method (Order relation analysis method-criteria importance though intercrieria correlation) and the least squares-based empowerment model are used to determine the comprehensive reliability evaluation index. Secondly, the key factors are selected to construct the reliability influencing factor index system. Then, the dynamic resolution coefficient is introduced to enhance the data difference to make up for the shortcomings of the traditional grey correlation analysis. Combined with the idea of TOPSIS (Technique for order preference by similarity to an ideal solution), the comprehensive gray correlation degree of each influence factor relative to the reliability comprehensive evaluation index is calculated and ranked as the reference basis for reliability improvement measures. Finally, the effectiveness of the proposed method is verified by a practical example.

Key words: Distribution network reliability, empowerment, grey correlation analysis, dynamic resolution coefficient, TOPSIS

中图分类号:

TM732

王梦帆, 郑建勇, 梅飞. 基于组合赋权和改进灰色关联分析的配电网可靠性影响因素研究[J]. 电气工程学报, 2022, 17(1): 41-48.

WANG Mengfan, ZHENG Jianyong, MEI Fei. Research on Influencing Factors of Distribution Network Reliability Based on Combination Empowerment and Improved Grey Correlation Analysis[J]. Journal of Electrical Engineering, 2022, 17(1): 41-48.

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标度	说明
1.0	指标y_j_-1和指标y_j同等重要
1.2	指标y_j_-1比指标y_j稍微重要
1.4	指标y_j_-1比指标y_j明显重要
1.6	指标y_j_-1比指标y_j强烈重要
1.8	指标y_j_-1比指标y_j极端重要

配网编号	SAIDI/ (h/户·年)	SAIFI/ (次/户·年)	AENS/ (kW·h/户·年)
1	10.01	0.89	3.52
2	7.07	0.86	3.28
3	8.92	1.03	3.09
4	9.51	0.89	3.04
5	9.39	1.06	3.39
6	6.67	1.70	3.23
7	9.49	1.10	3.28
8	6.33	1.76	3.48

配网编号	X₁	X₂	X₃	X₄	X₅
1	51.33	68.11	80.34	2.86	0
2	56.51	70.17	82.05	3.96	7.92
3	61.41	72.56	88.35	4.06	21.59
4	64.82	76.25	95.00	4.15	53.91
5	75.53	94.75	85.61	3.49	0
6	78.31	95.00	88.67	4.53	27.03
7	80.15	95.00	95.00	4.53	51.52
8	85.08	95.00	95.00	4.53	65.50
配网编号	X₆	X₇	X₈	X₉
1	23.90	2.38	34.64	289.75
2	26.05	21.99	34.55	280.25
3	28.18	35.39	35.49	269.80
4	31.97	38.60	34.73	265.05
5	31.89	2.76	36.63	274.55
6	33.67	27.89	36.55	264.10
7	32.54	39.28	37.60	251.75
8	34.07	53.64	37.50	240.35

影响因素	方法1	方法2	方法3	方法4	方法5	本文方法
X₁	0.853 1	0.804 5	0.803 4	0.830 1	0.802 3	0.715 7
X₂	0.712 3	0.827 7	0.816 3	0.848 9	0.787 7	0.839 8
X₃	0.771 9	0.836 5	0.899 4	0.856 2	0.839 2	0.861 1
X₄	0.628 3	0.799 8	0.850 6	0.831 7	0.773 4	0.776 5
X₅	0.758 2	0.498 9	0.522 7	0.372 9	0.423 7	0.412 3
X₆	0.790 1	0.853 2	0.822 2	0.891 2	0.889 1	0.907 1
X₇	0.530 7	0.603 1	0.664 8	0.403 4	0.543 6	0.571 2
X₈	0.830 7	0.902 6	0.842 1	0.869 3	0.891 1	0.943 6
X₉	0.811 1	0.870 5	0.862 4	0.906 8	0.863 3	0.865 8

基于组合赋权和改进灰色关联分析的配电网可靠性影响因素研究

Research on Influencing Factors of Distribution Network Reliability Based on Combination Empowerment and Improved Grey Correlation Analysis

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