Real power loss reduction in radial distribution system by integrating DGs using MTLBO algorithm

In today's scenario, the energy demand is increasing because of growing rate of urbanization, economic growth, increasing prosperity and rising per capita energy consumption. Operation and planning of wide-area power system network is becoming more complex, with the rise in electrical energy demand. Distributed Generation (DG) is cost effective and environment friendly solution to fulfill the increasing power demand. This paper presents optimal placement and sizing of DG using Modified Teaching Learning Based Optimization (MTLBO) algorithm in the Radial Distribution System (RDS). In this paper, the main aim is to reduce the real power loss. MTLBO algorithm was tested on IEEE 33-bus RDS to demonstrate its efficacy and simulation studies were carried out using MATLAB software. The results of the optimization problem solved using MTLBO method are compared with those obtained using analytical method and Particle Swarm Optimization (PSO) technique. MTLBO algorithm is found to be promising for the optimization problem considered.