Efficient Scheduling of Power Generating Units Using Grasshopper Optimization Algorithm

This article introduces a novel method for addressing the unit commitment problem in power systems by utilizing the Grasshopper Optimization Algorithm (GOA). Unit commitment is a crucial technique used in electric power systems for operational planning, aiming to schedule power generating units effi...

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Published in:SSRG International Journal of Electrical and Electronics Engineering
Main Author: Aziz M.A.A.; Yasin Z.M.; Zakaria Z.; Hassan E.E.
Format: Article
Language:English
Published: Seventh Sense Research Group 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204623996&doi=10.14445%2f23488379%2fIJEEE-V11I8P113&partnerID=40&md5=90c25a16666550b38ae36bc042079025
id 2-s2.0-85204623996
spelling 2-s2.0-85204623996
Aziz M.A.A.; Yasin Z.M.; Zakaria Z.; Hassan E.E.
Efficient Scheduling of Power Generating Units Using Grasshopper Optimization Algorithm
2024
SSRG International Journal of Electrical and Electronics Engineering
11
8
10.14445/23488379/IJEEE-V11I8P113
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204623996&doi=10.14445%2f23488379%2fIJEEE-V11I8P113&partnerID=40&md5=90c25a16666550b38ae36bc042079025
This article introduces a novel method for addressing the unit commitment problem in power systems by utilizing the Grasshopper Optimization Algorithm (GOA). Unit commitment is a crucial technique used in electric power systems for operational planning, aiming to schedule power generating units efficiently to meet load demand while minimizing total operational costs. This involves considering various operational constraints such as power balance, generation capacity, start-up expenses, and minimum durations for both starting up and shutting down. GOA is a mathematical model that accurately replicates the distinct characteristics of grasshopper behavior during both the nymph and adulthood phases, specifically their foraging behavior in search of food sources in the natural environment. The aim of this study is to identify the most efficient unit commitment for producing scheduling, with the goal of minimizing the total operating cost while considering various limitations. The proposed technique is applied to a test system consisting of 5 generating units over a time horizon of 24 hours. The numerical outcomes of the GOA are being compared to those of the Dynamic Programming (DP) technique in terms of the total operating cost. The findings revealed that GOA offers the most economical total operating cost in comparison to DP. © 2024 Seventh Sense Research Group.
Seventh Sense Research Group
23488379
English
Article

author Aziz M.A.A.; Yasin Z.M.; Zakaria Z.; Hassan E.E.
spellingShingle Aziz M.A.A.; Yasin Z.M.; Zakaria Z.; Hassan E.E.
Efficient Scheduling of Power Generating Units Using Grasshopper Optimization Algorithm
author_facet Aziz M.A.A.; Yasin Z.M.; Zakaria Z.; Hassan E.E.
author_sort Aziz M.A.A.; Yasin Z.M.; Zakaria Z.; Hassan E.E.
title Efficient Scheduling of Power Generating Units Using Grasshopper Optimization Algorithm
title_short Efficient Scheduling of Power Generating Units Using Grasshopper Optimization Algorithm
title_full Efficient Scheduling of Power Generating Units Using Grasshopper Optimization Algorithm
title_fullStr Efficient Scheduling of Power Generating Units Using Grasshopper Optimization Algorithm
title_full_unstemmed Efficient Scheduling of Power Generating Units Using Grasshopper Optimization Algorithm
title_sort Efficient Scheduling of Power Generating Units Using Grasshopper Optimization Algorithm
publishDate 2024
container_title SSRG International Journal of Electrical and Electronics Engineering
container_volume 11
container_issue 8
doi_str_mv 10.14445/23488379/IJEEE-V11I8P113
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204623996&doi=10.14445%2f23488379%2fIJEEE-V11I8P113&partnerID=40&md5=90c25a16666550b38ae36bc042079025
description This article introduces a novel method for addressing the unit commitment problem in power systems by utilizing the Grasshopper Optimization Algorithm (GOA). Unit commitment is a crucial technique used in electric power systems for operational planning, aiming to schedule power generating units efficiently to meet load demand while minimizing total operational costs. This involves considering various operational constraints such as power balance, generation capacity, start-up expenses, and minimum durations for both starting up and shutting down. GOA is a mathematical model that accurately replicates the distinct characteristics of grasshopper behavior during both the nymph and adulthood phases, specifically their foraging behavior in search of food sources in the natural environment. The aim of this study is to identify the most efficient unit commitment for producing scheduling, with the goal of minimizing the total operating cost while considering various limitations. The proposed technique is applied to a test system consisting of 5 generating units over a time horizon of 24 hours. The numerical outcomes of the GOA are being compared to those of the Dynamic Programming (DP) technique in terms of the total operating cost. The findings revealed that GOA offers the most economical total operating cost in comparison to DP. © 2024 Seventh Sense Research Group.
publisher Seventh Sense Research Group
issn 23488379
language English
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