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Mirhoseini, Seyed Hasan, Hosseini, Seyed Mehdi, Ghanbari, Mehdi, Gandomkar, Majid. (1393). Multi-objective Reconfiguration of Distribution Network Using a Heuristic Modified Ant Colony Optimization Algorithm. نشریه هنرهای کاربردی, 01(1), 23-33. doi: 10.22075/mseee.2015.239
Seyed Hasan Mirhoseini; Seyed Mehdi Hosseini; Mehdi Ghanbari; Majid Gandomkar. "Multi-objective Reconfiguration of Distribution Network Using a Heuristic Modified Ant Colony Optimization Algorithm". نشریه هنرهای کاربردی, 01, 1, 1393, 23-33. doi: 10.22075/mseee.2015.239
Mirhoseini, Seyed Hasan, Hosseini, Seyed Mehdi, Ghanbari, Mehdi, Gandomkar, Majid. (1393). 'Multi-objective Reconfiguration of Distribution Network Using a Heuristic Modified Ant Colony Optimization Algorithm', نشریه هنرهای کاربردی, 01(1), pp. 23-33. doi: 10.22075/mseee.2015.239
Mirhoseini, Seyed Hasan, Hosseini, Seyed Mehdi, Ghanbari, Mehdi, Gandomkar, Majid. Multi-objective Reconfiguration of Distribution Network Using a Heuristic Modified Ant Colony Optimization Algorithm. نشریه هنرهای کاربردی, 1393; 01(1): 23-33. doi: 10.22075/mseee.2015.239

Multi-objective Reconfiguration of Distribution Network Using a Heuristic Modified Ant Colony Optimization Algorithm

Modeling and Simulation in Electrical and Electronics Engineering
مقاله 2، دوره 01، شماره 1، اردیبهشت 2015، صفحه 23-33    اصل مقاله (393.23 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/mseee.2015.239
نویسندگان
Seyed Hasan Mirhoseini* 1؛ Seyed Mehdi Hosseini2؛ Mehdi Ghanbari3؛ Majid Gandomkar1
1Department of Electrical Engineering, Saveh Branch, Islamic Azad University, Saveh, Iran
2Department of Electrical Engineering, Noshirvani University of Technology, Babol, Iran
3Department of Electrical Engineering, Semnan University, Semnan, Iran
تاریخ دریافت: 25 اردیبهشت 1393،  تاریخ بازنگری: 16 تیر 1393،  تاریخ پذیرش: 15 مهر 1394 
چکیده
In this paper, a multi-objective reconfiguration problem has been solved simultaneously by a modified ant colony optimization algorithm. Two objective functions, real power loss and energy not supplied index (ENS), were utilized. Multi-objective modified ant colony optimization algorithm has been generated by adding non-dominated sorting technique and changing the pheromone updating rule of original ACO. By proposed algorithm, a group of the best solutions can be obtained thatcalled pareto front. None of these solutions are completely better than others among this pareto front. Furtheremore, another objective function, i.e., voltage profile index has been separately considered to have better comparison between pareto front members. Simulations have been performed on two standard IEEE 16-bus and 33-bus test systems. The results show that the proposed heuristic modifiedalgorithm generates welldistributed Pareto optimal solutions for the multi-objective reconfiguration problem.
کلیدواژه‌ها
Network Reconfiguration؛ Ant Colony Optimization؛ Non-dominated Sorting Technique؛ Power Loss؛ Energy Not Supplied
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