Resilience-Oriented Framework for Microgrid Planning in Distribution Systems

Eun-Tae Son, In-Su Bae, Sung-Yul Kim and Dong-Min Kim
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Eun-Tae Son: Department of Electrical Engineering, Dongshin University, Naju 58245, Korea
In-Su Bae: Department of Electrical Engineering, Kangwon National University, Samcheok 25913, Korea
Sung-Yul Kim: Department of Electrical Energy Engineering, Keimyung University, Daegu 42601, Korea
Dong-Min Kim: Department of Electrical Engineering, Dongshin University, Naju 58245, Korea

Energies, 2022, vol. 15, issue 6, 1-17

Abstract: Recently, it has been suggested that microgrids (MGs) can improve the resilience of distribution systems. However, predictions about future faults are uncertain. This makes calculating the exact value of the benefits of system resilience enhancement close to impossible at the time of MG planning. Therefore, this paper proposes a framework for MG planning, which focuses on resilience estimation. To consider the uncertainties of future failure events, the proposed method for estimating the resilience utilized the Monte Carlo simulation. In addition, an optimal scenario was estimated using a cost–benefit analysis and constraints on the expected value of resilience enhancement. In the case study, an actual MG installation at D-university was evaluated to obtain the optimal MG planning scenario. The results show that the capacity and installation locations of the distributed generators (DGs) impact the resilience enhancement. The proposed method can effectively derive the optimal MG planning scenario by evaluating the possibility of future operations based on the segmentation of both the system configuration and type of DG to improve the resilience of distribution systems.

Keywords: cost–benefit analysis; distribution system resilience; empirical distribution function; expected value of resilience enhancement; microgrid; Monte Carlo simulation (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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