A Review of Optimization Algorithms in Solving Hydro Generation Scheduling Problems
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 l...
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| Format: | Article |
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MDPI AG
2020-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/11/2787 |
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| author | Ali Thaeer Hammid Omar I. Awad Mohd Herwan Sulaiman Saraswathy Shamini Gunasekaran Salama A. Mostafa Nallapaneni Manoj Kumar Bashar Ahmad Khalaf Yasir Amer Al-Jawhar Raed Abdulkareem Abdulhasan |
| author_facet | Ali Thaeer Hammid Omar I. Awad Mohd Herwan Sulaiman Saraswathy Shamini Gunasekaran Salama A. Mostafa Nallapaneni Manoj Kumar Bashar Ahmad Khalaf Yasir Amer Al-Jawhar Raed Abdulkareem Abdulhasan |
| author_sort | Ali Thaeer Hammid |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T19:26:42Z |
| format | Article |
| id | doaj.art-61e7e488707343d5be380d70c088727f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T19:26:42Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-61e7e488707343d5be380d70c088727f2023-11-20T02:28:13ZengMDPI AGEnergies1996-10732020-06-011311278710.3390/en13112787A Review of Optimization Algorithms in Solving Hydro Generation Scheduling ProblemsAli Thaeer Hammid0Omar I. Awad1Mohd Herwan Sulaiman2Saraswathy Shamini Gunasekaran3Salama A. Mostafa4Nallapaneni Manoj Kumar5Bashar Ahmad Khalaf6Yasir Amer Al-Jawhar7Raed Abdulkareem Abdulhasan8Computer Engineering Techniques Department, Faculty of Information Technology, Imam Ja’afar Al-Sadiq University, Baghdad 10012, IraqState Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, ChinaFaculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pahang, Pekan 26600, MalaysiaCollege of Computing and Informatics, Universiti Tenaga Nasional, Selangor, Kajang 43000, MalaysiaFaculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Johor, Batu Pahat 86400, MalaysiaSchool of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong, ChinaCollege of Basic Education, University of Diyala, Diyala 32001, IraqFaculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Batu Pahat 86400, MalaysiaFaculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Batu Pahat 86400, MalaysiaThe 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.https://www.mdpi.com/1996-1073/13/11/2787renewable energyoptimal generation schedulingheuristic methodgenetic algorithmdynamic programminghydropower generation |
| spellingShingle | Ali Thaeer Hammid Omar I. Awad Mohd Herwan Sulaiman Saraswathy Shamini Gunasekaran Salama A. Mostafa Nallapaneni Manoj Kumar Bashar Ahmad Khalaf Yasir Amer Al-Jawhar Raed Abdulkareem Abdulhasan A Review of Optimization Algorithms in Solving Hydro Generation Scheduling Problems Energies renewable energy optimal generation scheduling heuristic method genetic algorithm dynamic programming hydropower generation |
| title | 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_short | A Review of Optimization Algorithms in Solving Hydro Generation Scheduling Problems |
| title_sort | review of optimization algorithms in solving hydro generation scheduling problems |
| topic | renewable energy optimal generation scheduling heuristic method genetic algorithm dynamic programming hydropower generation |
| url | https://www.mdpi.com/1996-1073/13/11/2787 |
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