This paper presents and applies a mono-and multi-objective approaches to improve the power quality and the reliability of electrical distribution systems using network reconfiguration. This study aims at finding a radial operating structure that improves the system reliability or/and minimizes the total cost of system power losses while taking into account a set of constraints. To handle the mono-criterion reconfiguration problem, a Genetic Algorithm (G.A) is applied. Subsequently, in the multi-objective issue with two conflicting criteria (total cost of power losses and total cost of energy not supplied). The pareto-optimality principle based trade-off is done using the Non-dominated Sorting Genetic Algorithm II (NSGAII). For a load flow analysis in radial distribution system, a Backward/Forward sweep algorithm is carried out. To investigate their feasibility, these algorithms are tested on IEEE 10-Bus test system. All simulation results demonstrate that the proposed methods successfully find the optimal configuration in a conspicuously short time.

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