International Journal of Robotics and Automation (IJRA) Vol.9, No.1, March 2020, pp. 1~5 ISSN: 2089-4856, DOI: 10.11591/ijra.v9i1.pp1-5  1 Journal homepage: http://ijra.iaescore.com Minimization of real power loss by enhanced teaching learning based optimization algorithm K. Lenin Department of EEE Prasad V. Potluri Siddhartha Institute of Technology, India Article Info ABSTRACT Article history: Received Dec 07, 2017 Revised Oct 06, 2019 Accepted Oct 31, 2019 This paper presents an Enhanced Teaching-Learning-Based Optimization (ETLBO) algorithm for solving reactive power flow problem. Teaching-learning process is an iterative process where in the continuous interaction takes place for the transfer of knowledge. Movements of trial solutions will investigate the internally final stages. Up gradation of the algorithm has been done through by adding weight in the learner values. Projected ETLBO algorithm has been tested in standard IEEE 57,118 bus systems and power loss has been reduced efficiently. Keywords: Enhanced teaching learning Optimal reactive power Transmission loss This is an open access article under the CC BY-SA license. Corresponding Author: K. Lenin, Department of EEE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India. Email: gklenin@gmail.com 1. INTRODUCTION Optimal reactive power dispatch problem is one of the difficult optimization problems in power systems & various mathematical techniques [1-9] have been utilized to solve the problem. Recently many types of Evolutionary algorithms [10-15] have been used to solve the reactive power problem. This paper presents an Enhanced Teaching-Learning-Based Optimization (ETLBO) algorithm for solving reactive power flow problem. Basic Teaching-Learning-Based Optimization [16] successfully solved various optimization problems. In this projected work new learner values the part of its previous value is considered and it has been decided by a weight factor “wf’. During the early stages of the search Individuals are encouraged to sample diverse zones of the exploration space. Projected ETLBO algorithm has been tested in standard IEEE 57,118 bus systems and real power loss has been reduced. 2. PROBLEM FORMULATION Reduction real power loss is the key goal of the work and the objective function has been written as follows (1): F=P L = ∑ g k k∈Nbr (V i 2 +V j 2 − 2V i V j cosθ ij ) (1) Voltage deviation mathematically written as (2-3),