A Comparative Study of Improved Teaching Learning Based Optimization Technique on Economic Load Dispatch Problem with Generator Constraints

A Comparative Study of Improved Teaching Learning Based Optimization Technique on Economic Load Dispatch Problem with Generator Constraints

Sumit Banerjee, Chandan Chanda, Deblina Maity
Copyright: © 2016 |Pages: 25
DOI: 10.4018/IJEOE.2016100101
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Abstract

This article presents a novel improved teaching learning based optimization (I-TLBO) technique to solve economic load dispatch (ELD) problem of the thermal plant without considering transmission losses. The proposed methodology can take care of ELD problems considering practical nonlinearities such as ramp rate limit, prohibited operating zone and valve point loading. The objective of economic load dispatch is to determine the optimal power generation of the units to meet the load demand, such that the overall cost of generation is minimized, while satisfying different operational constraints. I-TLBO is a recently developed evolutionary algorithm based on two basic concepts of education namely teaching phase and learning phase. The effectiveness of the proposed algorithm has been verified on test system with equality and inequality constraints. Compared with the other existing techniques demonstrates the superiority of the proposed algorithm.
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1. Introduction

In electrical engineering economic load dispatch is optimization task as because since last decades, the electrical power market becomes more competitive. That’s why we have to find the optimal power generations where total cost is to be minimized. ELD determines low cost operation of a power system by dispatching the power generation resources to supply the load. The main objective of the ELD is to minimize the total cost of generation while satisfying the operational constraints.

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