Multi-area economic dispatch by using differential evolution immunized ant colony optimization (DEIANT)

Economic dispatch is an important issue within the electrical system in meeting the lowest cost of the system and is subject to transmission and operating constraints.The power system operation and planning economic dispatch required a reliable technique to achieve minimal cost in economic dispatch...

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Main Authors: Marzuki N.H., Rahmat N.A., Mat Salleh J., Otoh O.F.
Other Authors: 57224080423
Format: Article
Published: Blue Eyes Intelligence Engineering and Sciences Publication 2023
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spelling my.uniten.dspace-243932023-05-29T15:23:12Z Multi-area economic dispatch by using differential evolution immunized ant colony optimization (DEIANT) Marzuki N.H. Rahmat N.A. Mat Salleh J. Otoh O.F. 57224080423 55647163881 57211621399 57211605959 Economic dispatch is an important issue within the electrical system in meeting the lowest cost of the system and is subject to transmission and operating constraints.The power system operation and planning economic dispatch required a reliable technique to achieve minimal cost in economic dispatch otherwise the objective to minimize the generation cost fail. The electrical transmission network does not make complete electricity generation in Single-area economic dispatch. Thus, to complete the economic dispatch for the power transmission system, the multi-area network is proposed. The Multi-Area Economic Dispatch(MAED) connects two or more areas through a tie-line. Each region has a specific cost and load pattern. Tie-lines are used as connectors to enable power switching between regions. 31-Bus test system tested using an algorithm known as Differential Evolution Immunized Ant Colony Optimization (DEIANT) with different case studies with several trials taken to assess the consistency of results. Comparative studies with Pre-Optimization and Newton Rap son revealed that DEIANT technique is more reliable for multi-area power system network. � BEIESP. Final 2023-05-29T07:23:12Z 2023-05-29T07:23:12Z 2019 Article 10.35940/ijeat.A2680.109119 2-s2.0-85074658668 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074658668&doi=10.35940%2fijeat.A2680.109119&partnerID=40&md5=f40744dd4b134f38ab84ecb05165c3b7 https://irepository.uniten.edu.my/handle/123456789/24393 9 1 3525 3530 All Open Access, Bronze Blue Eyes Intelligence Engineering and Sciences Publication 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 an important issue within the electrical system in meeting the lowest cost of the system and is subject to transmission and operating constraints.The power system operation and planning economic dispatch required a reliable technique to achieve minimal cost in economic dispatch otherwise the objective to minimize the generation cost fail. The electrical transmission network does not make complete electricity generation in Single-area economic dispatch. Thus, to complete the economic dispatch for the power transmission system, the multi-area network is proposed. The Multi-Area Economic Dispatch(MAED) connects two or more areas through a tie-line. Each region has a specific cost and load pattern. Tie-lines are used as connectors to enable power switching between regions. 31-Bus test system tested using an algorithm known as Differential Evolution Immunized Ant Colony Optimization (DEIANT) with different case studies with several trials taken to assess the consistency of results. Comparative studies with Pre-Optimization and Newton Rap son revealed that DEIANT technique is more reliable for multi-area power system network. � BEIESP.
author2 57224080423
author_facet 57224080423
Marzuki N.H.
Rahmat N.A.
Mat Salleh J.
Otoh O.F.
format Article
author Marzuki N.H.
Rahmat N.A.
Mat Salleh J.
Otoh O.F.
spellingShingle Marzuki N.H.
Rahmat N.A.
Mat Salleh J.
Otoh O.F.
Multi-area economic dispatch by using differential evolution immunized ant colony optimization (DEIANT)
author_sort Marzuki N.H.
title Multi-area economic dispatch by using differential evolution immunized ant colony optimization (DEIANT)
title_short Multi-area economic dispatch by using differential evolution immunized ant colony optimization (DEIANT)
title_full Multi-area economic dispatch by using differential evolution immunized ant colony optimization (DEIANT)
title_fullStr Multi-area economic dispatch by using differential evolution immunized ant colony optimization (DEIANT)
title_full_unstemmed Multi-area economic dispatch by using differential evolution immunized ant colony optimization (DEIANT)
title_sort multi-area economic dispatch by using differential evolution immunized ant colony optimization (deiant)
publisher Blue Eyes Intelligence Engineering and Sciences Publication
publishDate 2023
_version_ 1806427726110785536
score 13.214268