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Solving economic load dispatch using immune evolutionary programming (IEP) optimization technique

TK3091.R34 2017

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Main Author: Raja Muhammad Safarin Raja Kechek
Format: text::Final Year Project
Language:English
Published: 2024
Subjects:
Electric power systems-Load dispatching
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spelling my.uniten.dspace-336942024-10-13T02:04:45Z Solving economic load dispatch using immune evolutionary programming (IEP) optimization technique Raja Muhammad Safarin Raja Kechek Electric power systems-Load dispatching TK3091.R34 2017 Economic load dispatch (ELD) is one of power system problems which solved during operational planning phase. ELD is solved with the objective to find the best generating units output where the total operating cost and the total system loss are minimize and at the same time respecting the equality and inequality constraints. As the world population increases, the demand for the electricity also increases. This will decrease the amount of energy resources such as coal and natural gas as more fuel needs to be burnt to produce the electricity. There are a lot of techniques have been used by the previous researchers to solve ELD problems either using mathematical based optimization techniques or using modern intelligent techniques such as Evolutionary Programming (EP), Artificial Immune System (AIS), Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO) algorithm, etc. In this project, a new hybrid technique known as Immune Evolutionary Programming (IEP) is proposed to solve ELD problem. The proposed IEP technique has been tested to solve ELD problem of the IEEE 26-bus system. The constraints that have been set in this project are to satisfy power balance equation and generator limits. Three cases have been introduced to study the effectiveness of the IEP technique. The three cases are with no load increment (base case), 50 % load increment and 100 % load increment. The results produced from the IEP technique were compared with the results produced from load flow solution (non-optimal). It is found that IEP outperformed load flow solution in term of giving low total operating cost. 2024-10-07T02:14:31Z 2024-10-07T02:14:31Z 2017 Resource Types::text::Final Year Project https://irepository.uniten.edu.my/handle/123456789/33694 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Electric power systems-Load dispatching
spellingShingle Electric power systems-Load dispatching
Raja Muhammad Safarin Raja Kechek
Solving economic load dispatch using immune evolutionary programming (IEP) optimization technique
description TK3091.R34 2017
format Resource Types::text::Final Year Project
author Raja Muhammad Safarin Raja Kechek
author_facet Raja Muhammad Safarin Raja Kechek
author_sort Raja Muhammad Safarin Raja Kechek
title Solving economic load dispatch using immune evolutionary programming (IEP) optimization technique
title_short Solving economic load dispatch using immune evolutionary programming (IEP) optimization technique
title_full Solving economic load dispatch using immune evolutionary programming (IEP) optimization technique
title_fullStr Solving economic load dispatch using immune evolutionary programming (IEP) optimization technique
title_full_unstemmed Solving economic load dispatch using immune evolutionary programming (IEP) optimization technique
title_sort solving economic load dispatch using immune evolutionary programming (iep) optimization technique
publishDate 2024
_version_ 1814061148675244032
score 13.222552

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