A non convex cost function based optimal Load Dispatch using TLBO algorithm

This paper presents recent methods for Economic Load Dispatch Problems. This work concentrates on a new optimization algorithm that is Teaching and Learning (T & L) based optimization. Incorporated T & L based optimization algorithm is an effective remedy for diminishing the flaws in the traditional approach like provincial optimal trapping, inadequate effective to identify nearby extreme points and inefficient mechanism for analyzing the constraints. According to our T & L based optimization algorithm a learner can gain knowledge in two ways: (i) by teacher (called teacher phase) and (ii) interacting with the neighbor learners (called learner phase). In this algorithm learners are called as population. Design variable are called as subjects of the learners. The best learner is treated as Teacher. This paper proposes the effectiveness of T & L based Optimization on 6 unit test system, 10 unit test system and compared with Particle Swarm Optimization (PSO), Differential Evolution (DE), Harmony Search Algorithm (HSA) with considering transmission losses and finally T & L based optimization technique gives the high quality solution. © 2017 Eastern Macedonia and Thrace Institute of Technology.