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Complex Network Based Comprehensive Evaluation Method of Topology for Electro-Thermal Microgrid

1. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education(Shanghai Jiao Tong University), Shanghai 200240, China; 2. School of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China; 3. Nanjing Power Supply Company of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210019, China

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    In view of the problem that the conventional evaluation method of microgrid is not appropriate for the multi-node coupling electro-thermal one, this paper develops a new topology evaluation system and comprehensive evaluation method based on complex network theory. The unidirectional and bidirectional graphs are applied to model the electro-thermal microgrid. Meanwhile, the network will be electro-thermal decoupled through multi-level network. The impact of nodes on sensibility, reliability and economy is quantized and critical nodes are searched according to several indices including complex-valued node degree, between centricity, efficiency coefficient, between-centricity-weighted node degree and efficiency-weighted node degree, which has high differentiation degree and can realize the comprehensive assessment of sensibility, reliability and economy for electro-thermal microgrid. The test example shows that the proposed method can quickly find the critical nodes of electric microgrid and thermal microgrid in unidirectional or bidirectional static network, which is useful even when the direction of edges changes or one node fails, proving the advancement of taking the whole evaluation system as a reference for backup resource allocation and backup node selection in electro-thermal microgrid.

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GONG Sicheng, HUANG Wentao, TAI Nengling,et al.Complex Network Based Comprehensive Evaluation Method of Topology for Electro-Thermal Microgrid[J].Automation of Electric Power Systems,2019,43(23):173-184.DOI:10.7500/AEPS20180917003

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  • Received:September 17,2018
  • Revised:September 02,2019
  • Adopted:May 09,2019
  • Online: August 30,2019
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