1.College of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China;2.School of Mechanical Engineering, Shanghai Dianji University, Shanghai 200240, China
This work is supported by National Natural Science Foundation of China (No. 71601109) and the Project of Philosophy and Social Science of Shanghai (No. 2016EGL001).
Bset selection and assessment of black-start schemes plays 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 assessment. The entropy method suffers from a range of problems, such as large deviation of weight distribution, being unable to reflect small changes of the decision matrix, etc. Based on this, a novel weight determination method based on affinity propagation (AP) clustering is proposed, which is applied to evaluate black-start schemes. Firstly, the AP 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 algorithm is used to cluster the black-start schemes, and the clustering results based on the remaining indexes are obtained. Moreover, according to the structure similarity thinking, the similarities between the clustering results based on all indexes and the clustering results based on remaining indexes 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 investigate the effectiveness of the proposed method in the paper. 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/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20191005003.