Hybrid Genetic Algorithm Fuzzy-Based Control Schemes for Small Power System with High-Penetration Wind Farms
Wind is a clean, abundant, and inexhaustible source of energy. However, wind power is not constant, as windmill output is proportional to the cube of wind speed. As a result, the generated power of wind turbine generators (WTGs) fluctuates significantly. Power fluctuation leads to frequency deviatio...
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| Format: | Article |
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MDPI AG
2018-03-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/3/373 |
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| author | Mohammed Elsayed Lotfy Tomonobu Senjyu Mohammed Abdel-Fattah Farahat Amal Farouq Abdel-Gawad Liu Lei Manoj Datta |
| author_facet | Mohammed Elsayed Lotfy Tomonobu Senjyu Mohammed Abdel-Fattah Farahat Amal Farouq Abdel-Gawad Liu Lei Manoj Datta |
| author_sort | Mohammed Elsayed Lotfy |
| collection | DOAJ |
| description | Wind is a clean, abundant, and inexhaustible source of energy. However, wind power is not constant, as windmill output is proportional to the cube of wind speed. As a result, the generated power of wind turbine generators (WTGs) fluctuates significantly. Power fluctuation leads to frequency deviation and voltage flicker inside the system. This paper presents a new methodology for controlling system frequency and power. Two decentralized fuzzy logic-based control schemes with a high-penetration non-storage wind–diesel system are studied. First, one is implemented in the governor of conventional generators to damp frequency oscillation, while the other is applied to control the pitch angle system of wind turbines to smooth wind output power fluctuations and enhance the power system performance. A genetic algorithm (GA) is employed to tune and optimize the membership function parameters of the fuzzy logic controllers to obtain optimal performance. The effectiveness of the suggested controllers is validated by time domain simulation for the standard IEEE nine-bus three-generator test system, including three wind farms. The robustness of the power system is checked under normal and faulty operating conditions. |
| first_indexed | 2024-12-12T15:26:57Z |
| format | Article |
| id | doaj.art-97c12a974d634ba59b0e50e114a68862 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-12T15:26:57Z |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-97c12a974d634ba59b0e50e114a688622022-12-22T00:20:14ZengMDPI AGApplied Sciences2076-34172018-03-018337310.3390/app8030373app8030373Hybrid Genetic Algorithm Fuzzy-Based Control Schemes for Small Power System with High-Penetration Wind FarmsMohammed Elsayed Lotfy0Tomonobu Senjyu1Mohammed Abdel-Fattah Farahat2Amal Farouq Abdel-Gawad3Liu Lei4Manoj Datta5Department of Electrical Power and Machines, Zagazig University, Zagazig 44519, EgyptDepartment of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, JapanDepartment of Electrical Power and Machines, Zagazig University, Zagazig 44519, EgyptDepartment of Electrical Power and Machines, Zagazig University, Zagazig 44519, EgyptDepartment of Electrical and Electronics Engineering, University of the Ryukyus, Okinawa 903-0213, JapanDepartment of Electrical and Biomedical Engineering, RMIT University, Melbourne, Victoria 3001, AustraliaWind is a clean, abundant, and inexhaustible source of energy. However, wind power is not constant, as windmill output is proportional to the cube of wind speed. As a result, the generated power of wind turbine generators (WTGs) fluctuates significantly. Power fluctuation leads to frequency deviation and voltage flicker inside the system. This paper presents a new methodology for controlling system frequency and power. Two decentralized fuzzy logic-based control schemes with a high-penetration non-storage wind–diesel system are studied. First, one is implemented in the governor of conventional generators to damp frequency oscillation, while the other is applied to control the pitch angle system of wind turbines to smooth wind output power fluctuations and enhance the power system performance. A genetic algorithm (GA) is employed to tune and optimize the membership function parameters of the fuzzy logic controllers to obtain optimal performance. The effectiveness of the suggested controllers is validated by time domain simulation for the standard IEEE nine-bus three-generator test system, including three wind farms. The robustness of the power system is checked under normal and faulty operating conditions.http://www.mdpi.com/2076-3417/8/3/373fuzzy controlfrequency controlgenetic algorithmpitch angle controlpower system stabilitywind power generation |
| spellingShingle | Mohammed Elsayed Lotfy Tomonobu Senjyu Mohammed Abdel-Fattah Farahat Amal Farouq Abdel-Gawad Liu Lei Manoj Datta Hybrid Genetic Algorithm Fuzzy-Based Control Schemes for Small Power System with High-Penetration Wind Farms Applied Sciences fuzzy control frequency control genetic algorithm pitch angle control power system stability wind power generation |
| title | Hybrid Genetic Algorithm Fuzzy-Based Control Schemes for Small Power System with High-Penetration Wind Farms |
| title_full | Hybrid Genetic Algorithm Fuzzy-Based Control Schemes for Small Power System with High-Penetration Wind Farms |
| title_fullStr | Hybrid Genetic Algorithm Fuzzy-Based Control Schemes for Small Power System with High-Penetration Wind Farms |
| title_full_unstemmed | Hybrid Genetic Algorithm Fuzzy-Based Control Schemes for Small Power System with High-Penetration Wind Farms |
| title_short | Hybrid Genetic Algorithm Fuzzy-Based Control Schemes for Small Power System with High-Penetration Wind Farms |
| title_sort | hybrid genetic algorithm fuzzy based control schemes for small power system with high penetration wind farms |
| topic | fuzzy control frequency control genetic algorithm pitch angle control power system stability wind power generation |
| url | http://www.mdpi.com/2076-3417/8/3/373 |
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