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Content Provider | IEEE Xplore Digital Library |
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Author | Chunyi Wang Jiachuan Shi Xinsheng Niu Shanjie Jia Songju Liu Li Mu |
Copyright Year | 2011 |
Description | Author affiliation: Shandong Electric Power Research Institute, Jinan, Shandong 250002, People's Republic of China (Chunyi Wang; Xinsheng Niu; Shanjie Jia) || School of Electrical Engineering, Shandong University, Jinan, Shandong 250061, People's Republic of China (Li Mu) || Shandong Electric Power Corporation, Jinan, Shandong 250001, People's Republic of China (Songju Liu) || School of information and electrical engineering, Shandong Jianzhu University, Jinan, Shandong 250101, People's Republic of China (Jiachuan Shi) |
Abstract | Power system restoration is a multi-objective problem with limited optional plans. Generally, multi-criteria decision-making (MCDM) method is employed to rank optional restoration plans and provide decision support for dispatchers. Weights set by decision-makers based on their experience may have subjectivity and then influence optional plans ranking result. In order to properly select attribute weights for restoration decision-making and ensure power system safely and rapidly restored after blackout, it is necessary to analyze the sensitivity of ranking result on weights variation. Based on the technique for order preference by similarity to an ideal solution (TOPSIS) method, this paper proposes a weights sensitivity analysis method. The ranking result sensitivity of TOPSIS method was analyzed and the absolute sensitive index of the optimal plan was presented by using Euclidean distance and nonlinear programming method. Simulation results of Shandong power grid show that the method is conducive to help decision makers easily recognize and carefully set critical weights. |
Starting Page | 653 |
Ending Page | 656 |
File Size | 584998 |
Page Count | 4 |
File Format | |
ISBN | 9781457703645 |
e-ISBN | 9781457703652 |
DOI | 10.1109/DRPT.2011.5993974 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-07-06 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Sensitivity analysis Decision making Substations Power system restoration Safety Power generation sensitivity analysis multi-criteria decision-making TOPSIS |
Content Type | Text |
Resource Type | Article |
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