<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This paper discusses the problem of finding the optimal network topological configuration by changing the feeder status. The reconfiguration problem is considered as a multiobjective problem aiming to minimize power losses and total interruptions costs subject to the system constraints: the network radiality voltage limits and feeder capability limits. Due to its complexity, the metaheuristic methods can be applied to solve the problem and often the choice is genetic algorithm. NSGA II is used to solve the multiobjective optimization problem in order to get Pareto optimal set with possible solutions. The proposed method has been tested on real 35 kV distribution network. The numerical results are presented to illustrate the feasibility of the proposed genetic algorithm.</p></abstract>

This paper discusses the problem of finding the optimal network topological configuration by changing the feeder status. The reconfiguration problem is considered as a multiobjective problem aiming to minimize power losses and total interruptions costs subject to the system constraints: the network radiality voltage limits and feeder capability limits. Due to its complexity, the metaheuristic methods can be applied to solve the problem and often the choice is genetic algorithm. NSGA II is used to solve the multiobjective optimization problem in order to get Pareto optimal set with possible solutions. The proposed method has been tested on real 35 kV distribution network. The numerical results are presented to illustrate the feasibility of the proposed genetic algorithm.

Distribution Network Reconfiguration Considering Power Losses and Outages Costs Using Genetic Algorithm

Faculty of Electrical Engineering, University of Tuzla, Department of Power System Analyses, Franjevačka 2, 75 000 Tuzla, Bosnia

Tuzla Canton, Slatina 2, 75 000 Tuzla, Bosnia and Herzegovina

Journal of Electrical Engineering

This paper discusses the problem of finding the optimal network topological configuration by changing the feeder status. The reconfiguration problem is...

Distribution Network Reconfiguration Considering Power Losses and Outages Costs Using Genetic Algorithm

Data publikacji: 15 paź 2013

Zakres stron: 265 - 271

DOI: https://doi.org/10.2478/jee-2013-0039

This content is open access.