Optimizing steam condenser efficiency: integrating logarithmic spiral search and greedy selection mechanisms in gazelle optimizer for PI controller tuning
Steam condensers are critical for maintaining efficiency and stability in thermal power plants by converting exhaust steam back into water. Controlling the pressure within the condenser is essential for optimal performance and operational safety. This paper presents a dynamic model of a steam conden...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024017535 |
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| author | Serdar Ekinci Cebrail Turkeri Davut Izci Laith Abualigah Mohit Bajaj Vojtech Blazek |
| author_facet | Serdar Ekinci Cebrail Turkeri Davut Izci Laith Abualigah Mohit Bajaj Vojtech Blazek |
| author_sort | Serdar Ekinci |
| collection | DOAJ |
| description | Steam condensers are critical for maintaining efficiency and stability in thermal power plants by converting exhaust steam back into water. Controlling the pressure within the condenser is essential for optimal performance and operational safety. This paper presents a dynamic model of a steam condenser, with pressure control achieved through a proportional-integral (PI) controller. The PI controller parameters are optimized using the gazelle optimization algorithm (GOA), which is applied for the first time to this system in the literature. Additionally, novel enhancements, the logarithmic spiral (Ls) search with greedy selection, are integrated into GOA to further enhance control effectiveness. The performance of the optimized PI controller is evaluated using nonlinear simulations, which include statistical analysis and fitness function assessments. To validate the effectiveness of the proposed approach, comparisons are made with other widely used optimization techniques. The results reveal that the GOA notably enhances control accuracy and stability, with the enhanced GOA (Ls-GOA) achieving the most significant improvements. This underscores its potential for enhancing steam condenser efficiency in thermal power plants. |
| format | Article |
| id | doaj-art-e27fd921cd3f427d98eaf2f8a69beb4d |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-e27fd921cd3f427d98eaf2f8a69beb4d2024-12-19T10:59:48ZengElsevierResults in Engineering2590-12302024-12-0124103501Optimizing steam condenser efficiency: integrating logarithmic spiral search and greedy selection mechanisms in gazelle optimizer for PI controller tuningSerdar Ekinci0Cebrail Turkeri1Davut Izci2Laith Abualigah3Mohit Bajaj4Vojtech Blazek5Department of Computer Engineering, Batman University, Batman, 72100, TurkeyDepartment of Computer Engineering, Batman University, Batman, 72100, TurkeyDepartment of Computer Engineering, Batman University, Batman, 72100, Turkey; Applied Science Research Center, Applied Science Private University, Amman, 11931, JordanComputer Science Department, Al al-Bayt University, Mafraq 25113, Jordan; Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, IndiaDepartment of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun, 248002, India; College of Engineering, University of Business and Technology, Jeddah, 21448, Saudi Arabia; Graphic Era Hill University, Dehradun, 248002, India; Corresponding author.ENET Centre, VSB—Technical University of Ostrava, 708 00 Ostrava, Czech RepublicSteam condensers are critical for maintaining efficiency and stability in thermal power plants by converting exhaust steam back into water. Controlling the pressure within the condenser is essential for optimal performance and operational safety. This paper presents a dynamic model of a steam condenser, with pressure control achieved through a proportional-integral (PI) controller. The PI controller parameters are optimized using the gazelle optimization algorithm (GOA), which is applied for the first time to this system in the literature. Additionally, novel enhancements, the logarithmic spiral (Ls) search with greedy selection, are integrated into GOA to further enhance control effectiveness. The performance of the optimized PI controller is evaluated using nonlinear simulations, which include statistical analysis and fitness function assessments. To validate the effectiveness of the proposed approach, comparisons are made with other widely used optimization techniques. The results reveal that the GOA notably enhances control accuracy and stability, with the enhanced GOA (Ls-GOA) achieving the most significant improvements. This underscores its potential for enhancing steam condenser efficiency in thermal power plants.http://www.sciencedirect.com/science/article/pii/S2590123024017535Condenser pressure controlThermal energy systemsDynamic modellingGazelle optimization algorithmLogarithmic spiral searchPI controller |
| spellingShingle | Serdar Ekinci Cebrail Turkeri Davut Izci Laith Abualigah Mohit Bajaj Vojtech Blazek Optimizing steam condenser efficiency: integrating logarithmic spiral search and greedy selection mechanisms in gazelle optimizer for PI controller tuning Results in Engineering Condenser pressure control Thermal energy systems Dynamic modelling Gazelle optimization algorithm Logarithmic spiral search PI controller |
| title | Optimizing steam condenser efficiency: integrating logarithmic spiral search and greedy selection mechanisms in gazelle optimizer for PI controller tuning |
| title_full | Optimizing steam condenser efficiency: integrating logarithmic spiral search and greedy selection mechanisms in gazelle optimizer for PI controller tuning |
| title_fullStr | Optimizing steam condenser efficiency: integrating logarithmic spiral search and greedy selection mechanisms in gazelle optimizer for PI controller tuning |
| title_full_unstemmed | Optimizing steam condenser efficiency: integrating logarithmic spiral search and greedy selection mechanisms in gazelle optimizer for PI controller tuning |
| title_short | Optimizing steam condenser efficiency: integrating logarithmic spiral search and greedy selection mechanisms in gazelle optimizer for PI controller tuning |
| title_sort | optimizing steam condenser efficiency integrating logarithmic spiral search and greedy selection mechanisms in gazelle optimizer for pi controller tuning |
| topic | Condenser pressure control Thermal energy systems Dynamic modelling Gazelle optimization algorithm Logarithmic spiral search PI controller |
| url | http://www.sciencedirect.com/science/article/pii/S2590123024017535 |
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