Date of Publication :23rd February 2018

Abstract: Metaheuristic algorithms form an important part of an area of Artificial Intelligence (AI). These algorithms are being used to find optimal solutions to a variety of problems in electrical engineering such as allocation of Distributed Generation (DG), coordination of relays, unit commitment etc. This paper presents the application of AI-based optimization algorithms to find the optimal location and sizing of DG in the radial distribution system (RDS). The problem is formulated to minimize real power loss and improve voltage stability in RDS and it is solved using metaheuristic algorithms viz. Particle Swarm Optimization algorithm (PSO), Modified teaching learning-based optimization algorithm (MTLBO) and Jaya algorithm. The results obtained using these algorithms are also compared with those obtained with the conventional analytical method. IEEE 33-bus RDS is considered as a test system. Simulation studies were carried out using MATLAB software. The novel feature of the paper is the application of recent Jaya algorithm to the optimization problem.

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