An interpretative structural modeling based network reconfiguration strategy for power systems |
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| Affiliation: | 1. School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2. Department of Electrical & Electronic Engineering, Institut Teknologi Brunei, Bandar Seri Begawan BS8675, Brunei;3. School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Queensland 4001, Australia;4. State Grid Electric Power Research Institute, Nanjing 210003, China;5. State Grid Nanjing Power Supply Company, Nanjing 210019, China;1. Science and Technology on Integrated Logistics Support Laboratory, National University of Defense Technology, Changsha 410073, China;2. College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha 410073, China;1. Department of Automation, Xiamen University, Xiamen, 361005 China;2. School of Computer Science, Florida International University, Miami, FL, 33199 USA;1. Management College, Ocean University of China, Qingdao 266100, PR China;2. Marine Development Studies Institute of OUC, Key Research Institute of Humanities and Social Sciences at Universities, Ministry of Education, Qingdao 266100, PR China |
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| Abstract: | The network reconfiguration is an important stage of restoring a power system after a complete blackout or a local outage. Reasonable planning of the network reconfiguration procedure is essential for rapidly restoring the power system concerned. An approach for evaluating the importance of a line is first proposed based on the line contraction concept. Then, the interpretative structural modeling (ISM) is employed to analyze the relationship among the factors having impacts on the network reconfiguration. The security and speediness of restoring generating units are considered with priority, and a method is next proposed to select the generating unit to be restored by maximizing the restoration benefit with both the generation capacity of the restored generating unit and the importance of the line in the restoration path considered. Both the start-up sequence of generating units and the related restoration paths are optimized together in the proposed method, and in this way the shortcomings of separately solving these two issues in the existing methods are avoided. Finally, the New England 10-unit 39-bus power system and the Guangdong power system in South China are employed to demonstrate the basic features of the proposed method. |
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| Keywords: | Power system restoration Network reconfiguration Line importance evaluation Interpretative structural modeling |
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