LOAD FREQUENCY CONTROL USING OPTIMIZED CONTROL TECHNIQUES
This paper considers the problem of load frequency control using optimized controllers. Determining the proportional-integral-derivative (PID) controller gains of a single and two area load frequency control (LFC) system using genetic algorithm (GA), Grey Wolf Optimizer (GWO) and Particle swarm opti...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Arabic |
| Published: |
Assiut University, Faculty of Engineering
2020-11-01
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| Series: | JES: Journal of Engineering Sciences |
| Subjects: | |
| Online Access: | https://jesaun.journals.ekb.eg/article_121264_2ea1a391430a743b5ad1ea3a9d7bb68e.pdf |
| _version_ | 1797961775967109120 |
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| author | Ashraf Hemeida Shimaa Mohamed Mountasser Mahmoud |
| author_facet | Ashraf Hemeida Shimaa Mohamed Mountasser Mahmoud |
| author_sort | Ashraf Hemeida |
| collection | DOAJ |
| description | This paper considers the problem of load frequency control using optimized controllers. Determining the proportional-integral-derivative (PID) controller gains of a single and two area load frequency control (LFC) system using genetic algorithm (GA), Grey Wolf Optimizer (GWO) and Particle swarm optimization (PSO) is presented. The LFC is notoriously difficult to control optimally using conventionally tuning a PID controller due to the system parameters are constantly changing. Therefore the GA,GWO and PSO as tuning strategy were applied. The simulation has been conducted in MATLAB Simulink package for single and two area power system. The simulation results shows the effectiveness of implementing GA, PSO, and GWO based PID controller in damping the oscillations very fast with better control quality. The results obtained are promising and show the satisfactory performance of optimization based controllers in achieving load frequency control performance. The optimized techniques were applied for single area as well as two area system. |
| first_indexed | 2024-04-11T01:03:00Z |
| format | Article |
| id | doaj.art-5243fbcbb0824c479d6e871290cab764 |
| institution | Directory Open Access Journal |
| issn | 1687-0530 2356-8550 |
| language | Arabic |
| last_indexed | 2024-04-11T01:03:00Z |
| publishDate | 2020-11-01 |
| publisher | Assiut University, Faculty of Engineering |
| record_format | Article |
| series | JES: Journal of Engineering Sciences |
| spelling | doaj.art-5243fbcbb0824c479d6e871290cab7642023-01-04T14:21:20ZaraAssiut University, Faculty of EngineeringJES: Journal of Engineering Sciences1687-05302356-85502020-11-0148No 611191113610.21608/jesaun.2020.42349.1011121264LOAD FREQUENCY CONTROL USING OPTIMIZED CONTROL TECHNIQUESAshraf Hemeida0Shimaa Mohamed1Mountasser Mahmoud2Electrical Engineering Department, Faculty of Energy Engineering, Aswan University, Aswan, 81528, EgyptElectrical Engineering Department, Faculty of Engineering, Aswan UniversityElectrical Engineering, Faculty of Engineering, Aswan University, Aswan, EgyptThis paper considers the problem of load frequency control using optimized controllers. Determining the proportional-integral-derivative (PID) controller gains of a single and two area load frequency control (LFC) system using genetic algorithm (GA), Grey Wolf Optimizer (GWO) and Particle swarm optimization (PSO) is presented. The LFC is notoriously difficult to control optimally using conventionally tuning a PID controller due to the system parameters are constantly changing. Therefore the GA,GWO and PSO as tuning strategy were applied. The simulation has been conducted in MATLAB Simulink package for single and two area power system. The simulation results shows the effectiveness of implementing GA, PSO, and GWO based PID controller in damping the oscillations very fast with better control quality. The results obtained are promising and show the satisfactory performance of optimization based controllers in achieving load frequency control performance. The optimized techniques were applied for single area as well as two area system.https://jesaun.journals.ekb.eg/article_121264_2ea1a391430a743b5ad1ea3a9d7bb68e.pdfload frequency control, optimization techniquesgenetic algorithm (ga), wolf optimizer (gwo)particle swarm optimization (pso) |
| spellingShingle | Ashraf Hemeida Shimaa Mohamed Mountasser Mahmoud LOAD FREQUENCY CONTROL USING OPTIMIZED CONTROL TECHNIQUES JES: Journal of Engineering Sciences load frequency control, optimization techniques genetic algorithm (ga), wolf optimizer (gwo) particle swarm optimization (pso) |
| title | LOAD FREQUENCY CONTROL USING OPTIMIZED CONTROL TECHNIQUES |
| title_full | LOAD FREQUENCY CONTROL USING OPTIMIZED CONTROL TECHNIQUES |
| title_fullStr | LOAD FREQUENCY CONTROL USING OPTIMIZED CONTROL TECHNIQUES |
| title_full_unstemmed | LOAD FREQUENCY CONTROL USING OPTIMIZED CONTROL TECHNIQUES |
| title_short | LOAD FREQUENCY CONTROL USING OPTIMIZED CONTROL TECHNIQUES |
| title_sort | load frequency control using optimized control techniques |
| topic | load frequency control, optimization techniques genetic algorithm (ga), wolf optimizer (gwo) particle swarm optimization (pso) |
| url | https://jesaun.journals.ekb.eg/article_121264_2ea1a391430a743b5ad1ea3a9d7bb68e.pdf |
| work_keys_str_mv | AT ashrafhemeida loadfrequencycontrolusingoptimizedcontroltechniques AT shimaamohamed loadfrequencycontrolusingoptimizedcontroltechniques AT mountassermahmoud loadfrequencycontrolusingoptimizedcontroltechniques |