基于近邻传播聚类权重的黑启动方案评估方法

冷亚军; 吴宗育; 赵文会; 黎忠雪

doi:10.7500/AEPS20191005003

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基于近邻传播聚类权重的黑启动方案评估方法

学术研究 | 更新时间：2025-06-16

- 基于近邻传播聚类权重的黑启动方案评估方法
- Assessment Method of Black-start Scheme Based on Affinity Propagation Clustering Weight
- 电力系统自动化-方正平台 2020年44卷第13期页码：73-80
- 作者机构：
  
  1. 上海电力大学经济与管理学院，上海市 200090
  2. 上海电机学院机械学院，上海市 200240
- 作者简介：
  
  冷亚军(1985—)，男，通信作者，博士，副教授，硕士生导师，主要研究方向：电力系统稳定性分析与控制、数据挖掘、智能用电。E-mail：huayi2001@163.com
  吴宗育(1996—)，男，硕士研究生，主要研究方向：电力系统稳定性分析与控制、数据挖掘、智能用电。E-mail：wuzongyu_1996@163.com
  赵文会(1977—)，女，博士，硕士生导师，主要研究方向：系统分析与优化。E-mail：wenhui_zhao@163.com
- 基金信息：
  
  国家自然科学基金资助项目(71601109);上海市哲学社会科学规划课题资助项目(2016EGL001)
- DOI：10.7500/AEPS20191005003
  中图分类号：
- 收稿日期：2019-10-05，
  
  修回日期：2020-03-13，
  
  网络出版日期：2020-04-24，
  
  纸质出版日期：2020-07-10
- 稿件说明：
移动端阅览
冷亚军,吴宗育,赵文会等.基于近邻传播聚类权重的黑启动方案评估方法[J].电力系统自动化,2020,44(13):73-80.

LENG Yajun,WU Zongyu,ZHAO Wenhui,et al.Assessment Method of Black-start Scheme Based on Affinity Propagation Clustering Weight[J].Automation of Electric Power Systems,2020,44(13):73-80.
冷亚军,吴宗育,赵文会等.基于近邻传播聚类权重的黑启动方案评估方法[J].电力系统自动化,2020,44(13):73-80. DOI： 10.7500/AEPS20191005003.

LENG Yajun,WU Zongyu,ZHAO Wenhui,et al.Assessment Method of Black-start Scheme Based on Affinity Propagation Clustering Weight[J].Automation of Electric Power Systems,2020,44(13):73-80. DOI： 10.7500/AEPS20191005003.

摘要

黑启动方案的优选和评估对电力系统在大面积停电后的快速恢复具有重要的意义。熵权法是黑启动方案评估中常用的权重确定方法，但却存在指标权重分配差别过大，无法体现决策矩阵微小变化等缺点。基于此，文中提出了一种新的权重方法——基于近邻传播聚类的权重确定方法，并将其用于黑启动方案评估。首先，利用近邻传播聚类算法对指标完全情况下的黑启动方案进行聚类，得到全指标黑启动方案聚类结果。其次，依次隐藏每个指标，再采用近邻传播聚类算法对黑启动方案进行聚类，得到缺失指标情况下的黑启动方案聚类结果。再次，根据结构相似性思想，对全指标黑启动方案聚类结果和缺失指标黑启动方案聚类结果进行相似性计算，得到指标权重，并采用线性加权法完成对所有黑启动方案的完全排序。最后，在中国广东电网黑启动数据集上对文中所提方法进行验证，实验结果表明所提方法具有较高的准确性。

Abstract

Best selection and assessment of black-start schemes play an important role in fast restoration after a large-area blackout in power system. The entropy method is one of the most popular methods for determining the weights in black-start scheme assessment. The entropy method suffers from a range of problems such as large deviation of weight distribution

failing to reflect small changes of the decision matrix

etc. A novel weight determination method based on affinity propagation (AP) clustering is proposed

which is applied to evaluate black-start schemes. Firstly

the AP clustering algorithm is used to cluster the black-start schemes with all indices

and the clustering results based on all indices are obtained. Then

each of the indices is deleted one by one

the AP clustering algorithm is used to cluster the black-start schemes

and the clustering results based on the remaining indices are obtained. Moreover

according to the structure similarity

the similarities between the clustering results based on all indices and incomplete indices are calculated

and the weights of indices are determined. The linear weighting method is used to sort all black-start schemes. Finally

based on the data of Guangdong power system of China

experiments are carried out to validate the effectiveness of the proposed method. The results show that the proposed method has high accuracy.

关键词

Keywords

references

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