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Resiliency-oriented optimal siting and sizing of distributed energy resources in distribution systems

Gilasi, Y ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1016/j.epsr.2022.107875
  3. Publisher: Elsevier Ltd , 2022
  4. Abstract:
  5. Distribution systems are one of the most important infrastructures of each country which are exposed to numerous damages through unexpected events. The development of distributed energy resources (DERs) is one of the solutions which can bring several benefits to the operation and planning of distribution systems in both normal and event situations. This paper proposes a new multi-objective planning model for optimal siting and sizing of DERs in distribution systems to minimize the total planning costs including operation and active power loss costs, as the normal operation objective, and to minimize the expected prioritized load shedding exposed to an earthquake incident, as the resilience improvement goal. Also, a novel incident-based outage scenario determination procedure is proposed using the fragility curves of distribution components to model the impact of earthquake events in resiliency evaluation stage. Since the proposed model is a non-linear and non-convex optimization problem with two contradictory objectives, the non-dominated sorting genetic algorithm II (NSGAII) followed by fuzzy decision making are utilized to find the Pareto solutions and the final optimal plan. Finally, the numerical results based on the IEEE 33-bus and IEEE 69-bus distribution systems are reported to evaluate the effectiveness of the proposed model. © 2022 Elsevier B.V
  6. Keywords:
  7. Distributed energy resources ; Distribution system ; Earthquake event ; Planning ; Convex optimization ; Decision making ; Earthquakes ; Electric load shedding ; Genetic algorithms ; Active power loss ; Distribution systems ; Earthquake events ; Exposed to ; Multi-objective planning model ; Operation power ; Resilience ; Siting and sizings ; Unexpected events ; Energy resources
  8. Source: Electric Power Systems Research ; Volume 208 , 2022 ; 03787796 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0378779622001055