Staff View: Embedded immune-evolutionary programming for Economic Dispatch of generators with prohibited operating zones

Embedded immune-evolutionary programming for Economic Dispatch of generators with prohibited operating zones

Economic Dispatch (ED) is one of the popular power system problems. It is solved by the grid system operators (GSOs) to find the cheapest production cost for dispatching power from generations to the demands (loads). It is crucial to have cheap production cost and at the same time satisfying all sys...

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Main Authors:	Razali N.S., Mansor M.H., Musirin I., Othman M.M., Akoury M.
Other Authors:	57220376053
Format:	Article
Published:	Science Publishing Corporation Inc 2023
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spelling	my.uniten.dspace-239492023-05-29T14:53:26Z Embedded immune-evolutionary programming for Economic Dispatch of generators with prohibited operating zones Razali N.S. Mansor M.H. Musirin I. Othman M.M. Akoury M. 57220376053 56372667100 8620004100 35944613200 57215916035 Economic Dispatch (ED) is one of the popular power system problems. It is solved by the grid system operators (GSOs) to find the cheapest production cost for dispatching power from generations to the demands (loads). It is crucial to have cheap production cost and at the same time satisfying all system constraints such as generating units' operating limits, transmission lines capacity and spinning reserve. ED of generators with prohibited operating zones is considered as a nonconvex ED as it has inequality constraints that need to be considered. This inequality constraint is the operating limits of generating units that considering the allowable and prohibited operating zones. The generating units must be ensured, that they are only operated within the allowable limits to avoid problem with the equipments that related to them. Some generating units will experience high vibration at certain level of operating limits and will burn more fuel to maintain at certain level of load. This paper presents an embedded technique to solve ED of generators problem with prohibited operating zones. The cloning process of Artificial Immune System (AIS) is inserted into Evolutionary Programming (EP) algorithm to form a new technique termed as Embedded Immune-Evolutionary Programming (EIEP). The proposed embedded technique has been tested on the IEEE 26-Bus Reliability Test System (RTS) with three different conditions of load. Besides that the results produced by the embedded technique has been compared with two single techniques which are AIS and EP. It is found that, the results of ED of generators with prohibited operating zones produced by EIEP is better than the two single techniques in terms of low total production cost. � 2018 Authors. Final 2023-05-29T06:53:25Z 2023-05-29T06:53:25Z 2018 Article 10.14419/ijet.v7i3.15.17526 2-s2.0-85082362510 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082362510&doi=10.14419%2fijet.v7i3.15.17526&partnerID=40&md5=417874b2a3ceb3edd6e565129b4cfde1 https://irepository.uniten.edu.my/handle/123456789/23949 7 3 183 186 All Open Access, Bronze Science Publishing Corporation 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 (ED) is one of the popular power system problems. It is solved by the grid system operators (GSOs) to find the cheapest production cost for dispatching power from generations to the demands (loads). It is crucial to have cheap production cost and at the same time satisfying all system constraints such as generating units' operating limits, transmission lines capacity and spinning reserve. ED of generators with prohibited operating zones is considered as a nonconvex ED as it has inequality constraints that need to be considered. This inequality constraint is the operating limits of generating units that considering the allowable and prohibited operating zones. The generating units must be ensured, that they are only operated within the allowable limits to avoid problem with the equipments that related to them. Some generating units will experience high vibration at certain level of operating limits and will burn more fuel to maintain at certain level of load. This paper presents an embedded technique to solve ED of generators problem with prohibited operating zones. The cloning process of Artificial Immune System (AIS) is inserted into Evolutionary Programming (EP) algorithm to form a new technique termed as Embedded Immune-Evolutionary Programming (EIEP). The proposed embedded technique has been tested on the IEEE 26-Bus Reliability Test System (RTS) with three different conditions of load. Besides that the results produced by the embedded technique has been compared with two single techniques which are AIS and EP. It is found that, the results of ED of generators with prohibited operating zones produced by EIEP is better than the two single techniques in terms of low total production cost. � 2018 Authors.
author2	57220376053
author_facet	57220376053 Razali N.S. Mansor M.H. Musirin I. Othman M.M. Akoury M.
format	Article
author	Razali N.S. Mansor M.H. Musirin I. Othman M.M. Akoury M.
spellingShingle	Razali N.S. Mansor M.H. Musirin I. Othman M.M. Akoury M. Embedded immune-evolutionary programming for Economic Dispatch of generators with prohibited operating zones
author_sort	Razali N.S.
title	Embedded immune-evolutionary programming for Economic Dispatch of generators with prohibited operating zones
title_short	Embedded immune-evolutionary programming for Economic Dispatch of generators with prohibited operating zones
title_full	Embedded immune-evolutionary programming for Economic Dispatch of generators with prohibited operating zones
title_fullStr	Embedded immune-evolutionary programming for Economic Dispatch of generators with prohibited operating zones
title_full_unstemmed	Embedded immune-evolutionary programming for Economic Dispatch of generators with prohibited operating zones
title_sort	embedded immune-evolutionary programming for economic dispatch of generators with prohibited operating zones
publisher	Science Publishing Corporation Inc
publishDate	2023
_version_	1806427862719266816
score	13.222552

Embedded immune-evolutionary programming for Economic Dispatch of generators with prohibited operating zones

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