An Integrated Planning Strategy for a Power Network and the Charging Infrastructure of Electric Vehicles for Power System Resilience Enhancement

Fang Yao, Jiawei Wang, Fushuan Wen, Chung-Li Tseng, Xingyong Zhao and Qiang Wang
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Fang Yao: School of Electric Power Engineering, Shanxi University, Taiyuan 030013, China
Jiawei Wang: Economic Research Institute of State Grid Shanxi Electric Power Company, Taiyuan 030001, China
Fushuan Wen: Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam
Chung-Li Tseng: UNSW School of Business, University of New South Wales, Sydney, NSW 2052, Australia
Xingyong Zhao: School of Electric Power Engineering, Shanxi University, Taiyuan 030013, China
Qiang Wang: State Grid Shanxi Electric Power Company, Taiyuan 030001, China

Energies, 2019, vol. 12, issue 20, 1-20

Abstract: This paper addresses the integrated planning problem of a power network and the charging infrastructure of electric vehicles (EVs) for enhancing power system resilience under various extreme weather scenarios. The planning methodology determines the optimal joint expansion decisions while modeling the benchmark system operation under the n − k resilience criterion. The proposed coordinated planning framework is a robust two-stage/tri-level mixed-integer optimization model. The proposed robust joint planning model includes the construction plan in the first level, identifying the worst-case scenario in the second level, and optimizing the operation cost and load shedding in the final level. To solve this model, a duality-based column and constraint generation (D-CCG) algorithm is developed. Using case studies, both the robust sole transmission planning and joint planning models are demonstrated on the IEEE 30-bus and IEEE 118-bus power systems. Numerical simulations of the benchmark systems validate the effectiveness of the developed framework and the efficiency of the proposed solution approach. Simulation results show the superiority of the proposed robust integrated planning over the sole transmission planning model.

Keywords: power system; resilience enhancement; electric vehicle; load shedding; robust optimization; normal stage; resilience stage; integrated planning; duality-based column and constraint generation (D-CCG) algorithm (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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