| 引用本文: | 罗 宁,贺墨琳,高 华,等.基于改进的AHP-CRITIC组合赋权与可拓评估模型的配电网综合评价方法[J].电力系统保护与控制,2021,49(16):86-96. |
| LUO Ning,HE Molin,GAO Hua,et al.Comprehensive evaluation method for a distribution network based on improved AHP-CRITIC combination weighting and an extension evaluation model[J].Power System Protection and Control,2021,49(16):86-96 |
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| 摘要: |
| 针对配电网综合评价问题，提出了一种改进的基于最小二乘的AHP-CRITIC组合赋权与可拓评估模型。针对单一赋权法具有一定偏向性的问题，通过层次分析法和CRITIC法分别确定主观权重与客观权重，构建基于最小二乘的组合赋权模型并采用遗传算法求解，从而确定综合权重。针对传统可拓评估模型中经典域确定的主观性，引入三角模糊数对其进行构建。针对现有关联度与等级变量特征值计算的准确性问题，分别提出了关联度的修正方法与等级扩展方法。算例表明，所提方法能够对配电网进行科学合理的分类，评价结果可信度高。 |
| 关键词: 配电网评价 改进AHP-CRITIC法 改进可拓评估模型 最小二乘法 遗传算法 |
| DOI：DOI: 10.19783/j.cnki.pspc.201235 |
| 分类号: |
| 基金项目:国家自然科学基金项目资助(51777142)；贵州电网有限责任公司电力规划专题研究项目资助(060000QQ00190011) |
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| Comprehensive evaluation method for a distribution network based on improved AHP-CRITIC combination weighting and an extension evaluation model |
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LUO Ning, HE Molin, GAO Hua, JIANG Zhijun, ZHANG Tiandong, ZHAO Jiawei, WU Guoding, LI Zhi, HU Po
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(1. Power Grid Planning and Research Center, Guizhou Power Grid Co., Ltd., Guiyang 550003, China;
2. School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)
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| Abstract: |
| For comprehensive evaluation of a distribution network, this paper proposes an improved AHP-CRITIC combination weighting and extension evaluation model based on least squares. Since the single weighting method has a certain bias, the subjective weight and the objective weight are determined by an Analytic Hierarchical Process (AHP) and CRITIC method respectively. A combined weighting model based on least squares is constructed and solved by a genetic algorithm to determine the comprehensive weight. The subjectivity of the classic domain determination in the extension evaluation model is constructed by introducing triangular fuzzy numbers. To ensure the accuracy of the existing correlation degree and the calculation accuracy of the eigenvalues of the rank variables, we propose a correlation degree correction method and the rank expansion method. The calculation example shows that the method can classify the distribution network scientifically and reasonably, and the evaluation result has high credibility.
This work is supported by the National Natural Science Foundation of China (No. 51777142) and the Electric Power Planning Special Research Project of Guizhou Power Grid Co., Ltd. (No. 060000QQ00190011). |
| Key words: distribution network evaluation improved AHP-CRITIC method improved extension evaluation model least squares method genetic algorithm |
