| 引用本文: | 戴国华,戴 睿,张琪瑞,等.基于主客观赋权相结合的省级电网发展诊断
分析方法与实证研究[J].电力系统保护与控制,2022,50(2):110-118.[点击复制] |
| DAI Guohua,DAI Rui,ZHANG Qirui,et al.Empirical study and analysis of provincial power grid development diagnosis based on the combination of a subjective and objective weighting method[J].Power System Protection and Control,2022,50(2):110-118[点击复制] |
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| 摘要: |
| 面向省级电网的发展诊断分析问题，提出一种基于区间二型模糊集合和熵权法的电网发展诊断分析方法。首先，综合考虑指标体系的多维度、多影响因素、独立性和可操作性，从电网发展速度、发展规模、发展安全、发展效率和发展效益五个角度，提出电网发展诊断评价的分层指标体系。在此基础上，提出面向该指标体系的指标归一化评分方法，并基于区间二型模糊集合和熵权法提出了各项指标的赋权方法。该方法能够较好地刻画指标赋权过程中的模糊因素问题。最后，基于黑龙江电网的实际数据开展实证分析，评估黑龙江电网的发展情况。分析结果表明：黑龙江电网的整体发展情况良好，但在网源协调性、网荷协调性、电网设备水平、企业经营状态等方面仍有待完善。 |
| 关键词: 区间二型模糊集合 熵权法 电网发展诊断 指标体系 评价方法 实证分析 |
| DOI：DOI: 10.19783/j.cnki.pspc.210409 |
| 投稿时间：2021-04-14修订日期：2021-08-25 |
| 基金项目:中国博士后科学基金项目资助(2018M640127) |
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| Empirical study and analysis of provincial power grid development diagnosis based on the combination of a subjective and objective weighting method |
| DAI Guohua,DAI Rui,ZHANG Qirui,LI Yaowang |
| (1. State Grid Heilongjiang Electric Power Co., Ltd., Harbin 150000, China; 2. State Grid Heilongjiang Electric Power
Co., Ltd. Maintenance Company, Harbin 150000, China; 3. Department of Electrical Engineering,
Tsinghua University, Beijing 100084, China) |
| Abstract: |
| A method of diagnosis and analysis for a regional power grid based on the interval type-2 fuzzy sets and entropy weighting is proposed. First, with a comprehensive consideration of multi-dimensional, multi-influencing factors, independence and operability of the index system, a hierarchical index system for power grid development diagnosis and evaluation is proposed from five perspectives: power grid development speed, scale, safety, efficiency, and benefits. An index normalized scoring method for the index system is proposed. Also, a weighting method is proposed based on the interval type-2 fuzzy sets and entropy weighting. This method can better characterize the fuzzy factors in the process of index weighting. Finally, an empirical analysis is carried out based on the actual data from the Heilongjiang Power Grid. The development of the Heilongjiang Power Grid is evaluated. The results indicate that the overall development of the Heilongjiang Power Grid is good, but still needs to be improved in terms of grid-source coordination, grid-load coordination, grid equipment level, and business operational status.
This work is supported by the Chinese Postdoctoral Science Foundation (No. 2018M640127). |
| Key words: interval type-2 fuzzy sets entropy weighting method power grid development diagnosis index system evaluation method empirical analysis |
