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Optimal network reconfiguration of electrical distribution systems using real coded quantum inspired evolutionary algorithm

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2 Author(s)
Radha, B. ; Electr. & Electron. Eng. Dept., Univ. of Mauritius, Reduit, Mauritius ; Rughooputh, H.C.S.

Network reconfiguration is an important tool to optimize the operating conditions of an electrical distribution system. This is accomplished modifying the network structure of distribution feeders by changing the open/close status of sectionalizing switches. This not only reduces the power losses, but also relieves the overloading of the network components. Network reconfiguration belongs to a complex family of problems because of their combinatorial nature and multiple constraints. This paper proposes a solution to this problem, using a Real Coded Quantum Inspired Evolutionary Algorithm (RCQIEA), with a novel codification. In this paper, RCQIEA is tested and compared to an Exhaustive Algorithm (EA), a Heuristic algorithm (HA) and a Genetic Algorithm (GA) on three test systems. Simulation results show that RCQIEA performs better than EA, HA and GA in terms of speed and accuracy. RCQIEA is a highly scalable algorithm as well.

Published in:

Networking, Sensing and Control (ICNSC), 2010 International Conference on

Date of Conference:

10-12 April 2010