A Two Stage Optimal Sitting and Sizing of Multiple Distributed Generators byImproved Teaching and Learning Optimization Algorithm

Volume 5 Issue 2 May - July 2017

Research Paper

A Two Stage Optimal Sitting and Sizing of Multiple Distributed Generators byImproved Teaching and Learning Optimization Algorithm

G. Balakrishna*

*Professor, Department of Electrical and Electronics Engineering, Sreenivasa Ramanujan Institute of Technology, Anantapuramu, India.

Balakrishna, G. (2017). A Two Stage Optimal Sitting and Sizing of Multiple Distributed Generators by Improved Teaching and Learning Optimization Algorithm i-manager’s Journal on Power Systems Engineering, 5(2), 10-18.https://doi.org/10.26634/jps.5.2.13618

Abstract

The quality of power in terms of inbound and constant voltages available at various consumers' terminals is expected to be good whenever the distribution system to which these consumers are connected is correctly planned and designed. But, it is becoming challenging due to the continuous increase in the electrical power demand that leads to go for using Distributed Generators (DG). In this work, a two stage optimal sitting and sizing of Distributed Generators is proposed in which at first stage, the optimal locations of these DG units are obtained by sensitivity analysis and in the latter stage, optimal sizes of these units are obtained by an improved Teaching and Learning optimization algorithm by considering the multiple objective functions like minimization of power loss, cost function, and emission produced. The proposed algorithm is tested on a 69-bus radial distribution test system with two substations based on the three objectives and the results are presented. Simulation results show that the proposed method has given better solution than the existing algorithm.