Economic dispatch of generators with valve-point loading effect using immune evolutionary programming

Economic dispatch is conducted by electric utilities in order to determine the best generation level at the most feasible operating cost. In order to guarantee satisfying energy delivery to the consumer, a precise calculation of generation level is required. In order to achieve accurate and practica...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohammad S.H., Mansor M.H., Musirin I., Abdullah M.N., Shaaya S.A., Rahmat N.A., Rahman M.S.A., Razali N.S.
Other Authors: 57213751654
Format: Conference Paper
Published: American Institute of Physics Inc. 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-23574
record_format dspace
spelling my.uniten.dspace-235742023-05-29T14:50:17Z Economic dispatch of generators with valve-point loading effect using immune evolutionary programming Mohammad S.H. Mansor M.H. Musirin I. Abdullah M.N. Shaaya S.A. Rahmat N.A. Rahman M.S.A. Razali N.S. 57213751654 56372667100 8620004100 55193828700 16022846200 55647163881 36609854400 57220376053 Economic dispatch is conducted by electric utilities in order to determine the best generation level at the most feasible operating cost. In order to guarantee satisfying energy delivery to the consumer, a precise calculation of generation level is required. In order to achieve accurate and practical solution, several considerations such as prohibited operating zones, valve-point loading effect and ramp-rate limit need to be taken into account. However, these considerations cause the optimization to become complex and difficult to solve. This research focuses on the valve-point effect that causes ripple in the fuel-cost curve. This paper also proposes a hybrid technique named as Immune Evolutionary Programming (IEP) in solving economic load dispatch problem with valve-point loading effect. Comparative studies involving IEP, EP and AIS are conducted on IEEE l4-Bus RTS for performance assessments. Results found in this research indicate that IEP is superior to Evolutionary Programming (EP) and Artificial Immune System (AIS) techniques in terms of calculating lower operating cost and total system loss. � 2018 Author(s). Final 2023-05-29T06:50:17Z 2023-05-29T06:50:17Z 2018 Conference Paper 10.1063/1.5066887 2-s2.0-85058022675 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058022675&doi=10.1063%2f1.5066887&partnerID=40&md5=7bd2d74321ed1dc114f9efd3d7d46f42 https://irepository.uniten.edu.my/handle/123456789/23574 2030 20246 American Institute of Physics Inc. Scopus
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/
description Economic dispatch is conducted by electric utilities in order to determine the best generation level at the most feasible operating cost. In order to guarantee satisfying energy delivery to the consumer, a precise calculation of generation level is required. In order to achieve accurate and practical solution, several considerations such as prohibited operating zones, valve-point loading effect and ramp-rate limit need to be taken into account. However, these considerations cause the optimization to become complex and difficult to solve. This research focuses on the valve-point effect that causes ripple in the fuel-cost curve. This paper also proposes a hybrid technique named as Immune Evolutionary Programming (IEP) in solving economic load dispatch problem with valve-point loading effect. Comparative studies involving IEP, EP and AIS are conducted on IEEE l4-Bus RTS for performance assessments. Results found in this research indicate that IEP is superior to Evolutionary Programming (EP) and Artificial Immune System (AIS) techniques in terms of calculating lower operating cost and total system loss. � 2018 Author(s).
author2 57213751654
author_facet 57213751654
Mohammad S.H.
Mansor M.H.
Musirin I.
Abdullah M.N.
Shaaya S.A.
Rahmat N.A.
Rahman M.S.A.
Razali N.S.
format Conference Paper
author Mohammad S.H.
Mansor M.H.
Musirin I.
Abdullah M.N.
Shaaya S.A.
Rahmat N.A.
Rahman M.S.A.
Razali N.S.
spellingShingle Mohammad S.H.
Mansor M.H.
Musirin I.
Abdullah M.N.
Shaaya S.A.
Rahmat N.A.
Rahman M.S.A.
Razali N.S.
Economic dispatch of generators with valve-point loading effect using immune evolutionary programming
author_sort Mohammad S.H.
title Economic dispatch of generators with valve-point loading effect using immune evolutionary programming
title_short Economic dispatch of generators with valve-point loading effect using immune evolutionary programming
title_full Economic dispatch of generators with valve-point loading effect using immune evolutionary programming
title_fullStr Economic dispatch of generators with valve-point loading effect using immune evolutionary programming
title_full_unstemmed Economic dispatch of generators with valve-point loading effect using immune evolutionary programming
title_sort economic dispatch of generators with valve-point loading effect using immune evolutionary programming
publisher American Institute of Physics Inc.
publishDate 2023
_version_ 1806426656407027712
score 13.222552