Series division method based on PSO and FA to optimize Long-Term Hydro Generation Scheduling

The fundamental requirement of power system hydro scheduling is to determine the optimal amount of generated powers for the hydro unit of the system in the scheduling horizon of 1 year or few years while satisfying the constraints of the hydroelectric system. Long-Term Hydro Generation Scheduling...

Full description

Bibliographic Details
Main Authors:	Hammid, Ali Thaeer, M. H., Sulaiman
Format:	Article
Language:	English
Published:	Elsevier 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/23313/ http://umpir.ump.edu.my/id/eprint/23313/ http://umpir.ump.edu.my/id/eprint/23313/ http://umpir.ump.edu.my/id/eprint/23313/1/Series%20division%20method%20based%20on%20PSO%20and%20FA%20to%20optimize.pdf

id	ump-23313
recordtype	eprints
spelling	ump-233132019-02-25T07:35:18Z http://umpir.ump.edu.my/id/eprint/23313/ Series division method based on PSO and FA to optimize Long-Term Hydro Generation Scheduling Hammid, Ali Thaeer M. H., Sulaiman TK Electrical engineering. Electronics Nuclear engineering The fundamental requirement of power system hydro scheduling is to determine the optimal amount of generated powers for the hydro unit of the system in the scheduling horizon of 1 year or few years while satisfying the constraints of the hydroelectric system. Long-Term Hydro Generation Scheduling (LHGS) is a complicated nonlinear, non-convex and nonsmooth optimization problem with discontinuous solution space. The model considers daily water inflows, limits on reservoir level, power generation depends on the available head of hydro units caused by power variations, start-up, and shut-down of hydro units. To deal with this complicated problem, Series division method (SDM) based on the practical swarm optimization and the firefly algorithm is proposed in this paper. The SDM is to make a division on the Swarm Intelligence (SI) algorithm which is to be a number of particles searching collections that properly can be regarded as divisions. Whereas, each division is a developmental algorithm which used to get the global point. The extent of the SDM is often offered a quicker convergence so as to accomplish the best initial operation to swarm's algorithm research. The proposed SDM are tested on two test systems actual observed system operator (AOSO) and Standard System Operation (SSO) and compared with some recent research works in the area. The results point out the Series Division Firefly Algorithm (SDFA) is robust and has good efficiency and superiority. Elsevier 2018-10 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23313/1/Series%20division%20method%20based%20on%20PSO%20and%20FA%20to%20optimize.pdf Hammid, Ali Thaeer and M. H., Sulaiman (2018) Series division method based on PSO and FA to optimize Long-Term Hydro Generation Scheduling. Sustainable Energy Technologies and Assessments, 29 (2018). pp. 106-118. ISSN 2213-1388 https://doi.org/10.1016/j.seta.2018.06.001 https://doi.org/10.1016/j.seta.2018.06.001
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 Series division method based on PSO and FA to optimize Long-Term Hydro Generation Scheduling
description	The fundamental requirement of power system hydro scheduling is to determine the optimal amount of generated powers for the hydro unit of the system in the scheduling horizon of 1 year or few years while satisfying the constraints of the hydroelectric system. Long-Term Hydro Generation Scheduling (LHGS) is a complicated nonlinear, non-convex and nonsmooth optimization problem with discontinuous solution space. The model considers daily water inflows, limits on reservoir level, power generation depends on the available head of hydro units caused by power variations, start-up, and shut-down of hydro units. To deal with this complicated problem, Series division method (SDM) based on the practical swarm optimization and the firefly algorithm is proposed in this paper. The SDM is to make a division on the Swarm Intelligence (SI) algorithm which is to be a number of particles searching collections that properly can be regarded as divisions. Whereas, each division is a developmental algorithm which used to get the global point. The extent of the SDM is often offered a quicker convergence so as to accomplish the best initial operation to swarm's algorithm research. The proposed SDM are tested on two test systems actual observed system operator (AOSO) and Standard System Operation (SSO) and compared with some recent research works in the area. The results point out the Series Division Firefly Algorithm (SDFA) is robust and has good efficiency and superiority.
format	Article
author	Hammid, Ali Thaeer M. H., Sulaiman
author_facet	Hammid, Ali Thaeer M. H., Sulaiman
author_sort	Hammid, Ali Thaeer
title	Series division method based on PSO and FA to optimize Long-Term Hydro Generation Scheduling
title_short	Series division method based on PSO and FA to optimize Long-Term Hydro Generation Scheduling
title_full	Series division method based on PSO and FA to optimize Long-Term Hydro Generation Scheduling
title_fullStr	Series division method based on PSO and FA to optimize Long-Term Hydro Generation Scheduling
title_full_unstemmed	Series division method based on PSO and FA to optimize Long-Term Hydro Generation Scheduling
title_sort	series division method based on pso and fa to optimize long-term hydro generation scheduling
publisher	Elsevier
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23313/ http://umpir.ump.edu.my/id/eprint/23313/ http://umpir.ump.edu.my/id/eprint/23313/ http://umpir.ump.edu.my/id/eprint/23313/1/Series%20division%20method%20based%20on%20PSO%20and%20FA%20to%20optimize.pdf
first_indexed	2023-09-18T22:34:50Z
last_indexed	2023-09-18T22:34:50Z
_version_	1777416526437023744

Series division method based on PSO and FA to optimize Long-Term Hydro Generation Scheduling

Similar Items