TY - JOUR ID - 172 TI - Optimal Distribution System Reconfiguration Using Non-dominated Sorting Genetic Algorithm (NSGA-II) JO - Journal of Operation and Automation in Power Engineering JA - JOAPE LA - en SN - 2322-4576 AU - Moshtagh, J. AU - Ghasemi, S. AD - Department of Electrical Engineering, University of Kurdistan, Sanandaj, Iran Y1 - 2007 PY - 2007 VL - 1 IS - 1 SP - 12 EP - 21 KW - distribution system KW - Load Balancing KW - Non-dominated Sorting Genetic Algorithm KW - Power Losses Reduction KW - Reconfiguration DO - N2 - In this paper, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) based approach is presented for distribution system reconfiguration. In contrast to the conventional GA based methods, the proposed approach does not require weighting factors for conversion of multi-objective function into an equivalent single objective function. In order to illustrate the performance of the proposed method, 33-bus and 69-bus distribution networks have been employed which have led to the desired results. UR - https://joape.uma.ac.ir/article_172.html L1 - https://joape.uma.ac.ir/article_172_f42779b19b4d28fb55aed55ea7219d16.pdf ER -