Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam

This study focuses on the improvement of optimization model by applying particle swarm optimization and firefly algorithm methods to get a stable power production utility at its maximum level. Furthermore, it investigates on the minimization of utility loss in power production from the hydropower sy...

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Main Authors:	Hammid, Ali Thaeer, M. H., Sulaiman
Format:	Conference or Workshop Item
Language:	English
Published:	EDP Sciences 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/19531/ http://umpir.ump.edu.my/id/eprint/19531/ http://umpir.ump.edu.my/id/eprint/19531/1/fkee-2017-ali-Optimal%20Long-Term%20Hydro%20Generation%20Scheduling%20of%20Small%20Hydropower.pdf

id	ump-19531
recordtype	eprints
spelling	ump-195312018-05-21T05:11:32Z http://umpir.ump.edu.my/id/eprint/19531/ Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam Hammid, Ali Thaeer M. H., Sulaiman TK Electrical engineering. Electronics Nuclear engineering This study focuses on the improvement of optimization model by applying particle swarm optimization and firefly algorithm methods to get a stable power production utility at its maximum level. Furthermore, it investigates on the minimization of utility loss in power production from the hydropower system, which is done by optimizing the variables of operation control in the hydropower plant at Lake Himreen - Diyala Dam. The variables mentioned are net turbine head, the rate of water flow and power production which had been gathered in the data during a research throughout a 10-year period. The results obtained from these two methods, namely Firefly Algorithm (FA) and Particle Swarm Optimization, (PSO) are compared. The inferences for general comparisons are created through several behavior indicators. The behavior indicators illustrate that FA's performance is better than PSO's performance, in some fields. At the end, the results show the strength of FA, as well as its efficiency and superiority. EDP Sciences 2017 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/19531/1/fkee-2017-ali-Optimal%20Long-Term%20Hydro%20Generation%20Scheduling%20of%20Small%20Hydropower.pdf Hammid, Ali Thaeer and M. H., Sulaiman (2017) Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam. In: MATEC Web of Conferences: UTP-UMP Symposium on Energy Systems 2017 (SES 2017), 26-27 September 2017 , Perak, Malaysia. pp. 1-5., 131 (04017). ISSN 2261-236X https://doi.org/10.1051/matecconf/201713104017
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Hammid, Ali Thaeer M. H., Sulaiman Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam
description	This study focuses on the improvement of optimization model by applying particle swarm optimization and firefly algorithm methods to get a stable power production utility at its maximum level. Furthermore, it investigates on the minimization of utility loss in power production from the hydropower system, which is done by optimizing the variables of operation control in the hydropower plant at Lake Himreen - Diyala Dam. The variables mentioned are net turbine head, the rate of water flow and power production which had been gathered in the data during a research throughout a 10-year period. The results obtained from these two methods, namely Firefly Algorithm (FA) and Particle Swarm Optimization, (PSO) are compared. The inferences for general comparisons are created through several behavior indicators. The behavior indicators illustrate that FA's performance is better than PSO's performance, in some fields. At the end, the results show the strength of FA, as well as its efficiency and superiority.
format	Conference or Workshop Item
author	Hammid, Ali Thaeer M. H., Sulaiman
author_facet	Hammid, Ali Thaeer M. H., Sulaiman
author_sort	Hammid, Ali Thaeer
title	Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam
title_short	Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam
title_full	Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam
title_fullStr	Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam
title_full_unstemmed	Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam
title_sort	optimal long-term hydro generation scheduling of small hydropower plant (shp) using metaheuristic algorithm in himreen lake dam
publisher	EDP Sciences
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/19531/ http://umpir.ump.edu.my/id/eprint/19531/ http://umpir.ump.edu.my/id/eprint/19531/1/fkee-2017-ali-Optimal%20Long-Term%20Hydro%20Generation%20Scheduling%20of%20Small%20Hydropower.pdf
first_indexed	2023-09-18T22:27:54Z
last_indexed	2023-09-18T22:27:54Z
_version_	1777416090322731008

Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam

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