A review of optimization algorithms in solving hydro generation scheduling problems
Electric power systems; Heuristic methods; Hydroelectric power; Optimal systems; Scheduling; Generation scheduling of hydro-systems; Meta-heuristic optimizations; Optimal generation; Optimization algorithms; Optimization approach; Optimization procedures; Optimization techniques; Short-term hydro sc...
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2023
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my.uniten.dspace-254682023-05-29T16:09:47Z A review of optimization algorithms in solving hydro generation scheduling problems Hammid A.T. Awad O.I. Sulaiman M.H. Gunasekaran S.S. Mostafa S.A. Kumar N.M. Khalaf B.A. Al-Jawhar Y.A. Abdulhasan R.A. 57192928734 57189759810 55336854400 55652730500 37036085800 57205074692 57205359430 57188747661 56905439800 Electric power systems; Heuristic methods; Hydroelectric power; Optimal systems; Scheduling; Generation scheduling of hydro-systems; Meta-heuristic optimizations; Optimal generation; Optimization algorithms; Optimization approach; Optimization procedures; Optimization techniques; Short-term hydro scheduling; Optimization The optimal generation scheduling (OGS) of hydropower units holds an important position in electric power systems, which is significantly investigated as a research issue. Hydropower has a slight social and ecological effect when compared with other types of sustainable power source. The target of long-, mid-, and short-term hydro scheduling (LMSTHS) problems is to optimize the power generation schedule of the accessible hydropower units, which generate maximum energy by utilizing the available potential during a specific period. Numerous traditional optimization procedures are first presented for making a solution to the LMSTHS problem. Lately, various optimization approaches, which have been assigned as a procedure based on experiences, have been executed to get the optimal solution of the generation scheduling of hydro systems. This article offers a complete survey of the implementation of various methods to get the OGS of hydro systems by examining the executed methods from various perspectives. Optimal solutions obtained by a collection of meta-heuristic optimization methods for various experience cases are established, and the presented methods are compared according to the case study, limitation of parameters, optimization techniques, and consideration of the main goal. Previous studies are mostly focused on hydro scheduling that is based on a reservoir of hydropower plants. Future study aspects are also considered, which are presented as the key issue surrounding the LMSTHS problem. � 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Final 2023-05-29T08:09:47Z 2023-05-29T08:09:47Z 2020 Article 10.3390/en13112787 2-s2.0-85085843115 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085843115&doi=10.3390%2fen13112787&partnerID=40&md5=63093dac46333d43fd615c450468382c https://irepository.uniten.edu.my/handle/123456789/25468 13 11 2787 All Open Access, Gold, Green MDPI AG Scopus |
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| description |
Electric power systems; Heuristic methods; Hydroelectric power; Optimal systems; Scheduling; Generation scheduling of hydro-systems; Meta-heuristic optimizations; Optimal generation; Optimization algorithms; Optimization approach; Optimization procedures; Optimization techniques; Short-term hydro scheduling; Optimization |
| author2 |
57192928734 |
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57192928734 Hammid A.T. Awad O.I. Sulaiman M.H. Gunasekaran S.S. Mostafa S.A. Kumar N.M. Khalaf B.A. Al-Jawhar Y.A. Abdulhasan R.A. |
| format |
Article |
| author |
Hammid A.T. Awad O.I. Sulaiman M.H. Gunasekaran S.S. Mostafa S.A. Kumar N.M. Khalaf B.A. Al-Jawhar Y.A. Abdulhasan R.A. |
| spellingShingle |
Hammid A.T. Awad O.I. Sulaiman M.H. Gunasekaran S.S. Mostafa S.A. Kumar N.M. Khalaf B.A. Al-Jawhar Y.A. Abdulhasan R.A. A review of optimization algorithms in solving hydro generation scheduling problems |
| author_sort |
Hammid A.T. |
| title |
A review of optimization algorithms in solving hydro generation scheduling problems |
| title_short |
A review of optimization algorithms in solving hydro generation scheduling problems |
| title_full |
A review of optimization algorithms in solving hydro generation scheduling problems |
| title_fullStr |
A review of optimization algorithms in solving hydro generation scheduling problems |
| title_full_unstemmed |
A review of optimization algorithms in solving hydro generation scheduling problems |
| title_sort |
review of optimization algorithms in solving hydro generation scheduling problems |
| publisher |
MDPI AG |
| publishDate |
2023 |
| _version_ |
1806425860998168576 |
| score |
13.18916 |