Optimal Reconfiguration of Power Distribution Network for Loss Reduction Using Hybrid Cuckoo Search Algorithm and Particle Swarm Optimization

F. A. Zubairu, Y. Jibril, A. S. Abubakar

Abstract


The problems of electrical power distribution networks in developing countries like Nigeria include large voltage drops, low voltage stability and huge power losses. These problems can be minimized by network reconfiguration. There is a need to find the most efficient configuration, the one that minimizes loss and improves the voltage profile of the distribution system. This research focuses on performing the network reconfiguration on a standard and practical distribution system using the Cuckoo Search Algorithm (CSA) as an optimization technique to reduce losses, voltage improvement as well as find the best placement of switches. In this work, the distribution load flow will be carried out using the forward/backward sweep power flow. The system mathematical model in terms of active power loss and voltage profile index, which serves as the objective function for the network reconfiguration problems are developed alongside the equality and inequality constraints. CSA will be used to get the optimal switching scheme for the network reconfiguration considering the objective function. The simulation will be carried out using MATLAB. The efficacy of the developed algorithm will be tested using standard IEEE 16, and 33 distribution networks. The scheme is expected to improve the voltage profile and reduce the active power losses of the network.

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References


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