A Reliability-Based Network Reconfiguration Model in Distribution System with DGs and ESSs Using Mixed-Integer Programming

Shanghua Guo, Jian Lin, Yuming Zhao, Longjun Wang, Gang Wang and Guowei Liu
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Shanghua Guo: School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China
Jian Lin: School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China
Yuming Zhao: Shenzhen Power Supply Co., Ltd., Shenzhen 518001, China
Longjun Wang: School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China
Gang Wang: School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China
Guowei Liu: Shenzhen Power Supply Co., Ltd., Shenzhen 518001, China

Energies, 2020, vol. 13, issue 5, 1-15

Abstract: Widely used distribution generations (DGs) and energy storage systems (ESSs) enable a distribution system to have a more flexible fault reconfiguration capability. In order to enhance the service reliability and the benefit of distribution networks with DGs and ESSs, this paper proposes a novel distribution system reconfiguration (DSR) model including DGs and ESSs. Meanwhile, the impact of sectionalizing switches and tie switches on reliability is considered. The concept of “boundary switch” is introduced for quantifying the customer interruption duration. The DSR model is presented to minimize the sum of the customer interruption cost, the operation cost of switches, and the depreciation cost of DGs and ESSs. Furthermore, the proposed model is converted into a mixed-integer linear programming, which can be efficiently solved by commercial solvers. Finally, the validity and efficiency of the proposed DSR model are verified by a modified IEEE 33-bus system and a modified PG&E69-bus network. The obtained results indicate the advantages of DGs and ESSs in reducing outage time, and suggest that the types and locations of SSs have great effects on the resulting benefit of DGs and ESSs.

Keywords: distribution system reconfiguration; distribution generation; energy storage system; switch; customer interruption duration; mixed-integer programming (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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