Comparative Performance Analysis of Swarm and Intelligent Evolutionary Techniques for Optimal Design of Distribution Transformer

Abstract

This paper addresses the method of optimal design of a three phase distribution transformer using Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Teaching-Learning-Based-Optimization Algorithm (TLBO). The design and analysis programs have been developed for constrained optimal design with cost as the objective function. The active part cost of the transformer has been minimized keeping in view BEE (Bureau of Energy Efficiency) standards and constraints. A design example on a 100 kVA, three phase core type distribution transformer is presented for illustration. Among all the three techniques, considering the quality of solution obtained, optimization using TLBO seems to be the most effective approach for solving transformer design optimization problems.

Keywords: Transformer design optimization, Genetic algorithms, Particle swarm optimization, Teaching-learning-based optimization

Cite this Article

Mehta HD, Patel RM. Comparative Performance Analysis of Swarm and Intelligent Evolutionary Techniques for Optimal Design of Distribution Transformer. Trends in Electrical Engineering. 2015; 5(3): 46–58p.