Collaborative Optimal Configuration of a Mobile Energy Storage System and a Stationary Energy Storage System to Cope with Regional Grid Blackouts in Extreme Scenarios

Weicheng Zhou (), Ping Zhao and Yifei Lu
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Weicheng Zhou: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Ping Zhao: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Yifei Lu: College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China

Energies, 2023, vol. 16, issue 23, 1-17

Abstract: To address regional blackouts in distribution networks caused by extreme accidents, a collaborative optimization configuration method with both a Mobile Energy Storage System (MESS) and a Stationary Energy Storage System (SESS), which can provide emergency power support in areas of power loss, is proposed. First, a time–space model of MESS with a coupled transportation network and power grids is constructed, as a MESS is more flexible than a SESS. Considering resilience and recovery, a minimization objective function for total cost, encompassing the hybrid energy storage investment cost, the power grid operation cost, and the load shedding penalty cost, is established. Moreover, considering SESS constraints and operational constraints, a hybrid configuration model is established. Then, considering the probability of extreme accidents, the scenario analysis method is used to address randomness, ensuring that the configuration results can be adapted to various scenarios. The proposed method can fully combine the time–space flexibility of MESS and the economic advantages of SESS, which can reduce the total cost and ensure the power system’s reliability. Finally, the effectiveness of the proposed method is verified by the improved IEEE33 system.

Keywords: extreme scenarios; power system optimization; mobile energy storage system; time–space constraint; energy storage optimal configuration (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: 2023
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