1.College of Economics and Management, Shanghai University of Electric Power, Shanghai200090, China;2.School of Mechanical Engineering, Shanghai Dianji University, Shanghai200240, China
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.
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.