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Fuzzy PID Controller for Load Frequency Control of Biorenewable Energy Based Micro Grid

Year 2022, Volume: 3 Issue: 2, 206 - 224, 18.12.2022
https://doi.org/10.55546/jmm.1105012

Abstract

Today, it is seen that energy consumption is gradually increasing, environmental protection awareness is developing and liberalization in energy markets is progressing steadily. For this reason, with the help of new technologies, policies are produced to benefit more from renewable energy resources (RES) and the interest in distributed generation systems is increased. Micro grids have emerged as a solution that provides significant advantages in the integration of RES to the grid. The fact that RES in the structures of micro grids have some uncertainties, such as variable generation structures, makes frequency stability one of the important problems in these systems. Providing effective load frequency control (LFC) to a micro grid model contributes significantly to improvements in the stability of these systems. In this study, a fuzzy proportional-integral-derivative (PID) controller structure is proposed to overcome the difficulties encountered in LFC in micro grid. League championship algorithm (LCA), ant colony algorithm (ACA) and particle swarm optimization (PSO) algorithms were used to determine the most suitable controller parameters. At the same time, the integral time-weighted absolute error (ITAE), cost function is used to obtain the optimal values of the gains of the fuzzy PID controller. As a result of the study, the performance of the proposed controller was compared with the classical PID controller.

References

  • Al-Dhaifallah M., Kanagaraj N., Nisar K. S., Fuzzy Fractional-Order PID Controller for Fractional Model of Pneumatic Pressure System. Mathematical Problems in Engineering 2018, 5478781, 2018.
  • Barik A. K., Das D. C., Active power management of isolated renewable microgrid generating power from Rooftop solar arrays, sewage waters and solid urban wastes of a smart city using Salp swarm algorithm, Technologies for Smart-City Energy Security and Power (ICSESP), Bhubaneswar, India, March 28-30, 2018, pp: 1-6.
  • Barik A. K., Das D. C., Muduli R., Demand Response Supported Optimal Load-Frequency Regulation of Sustainable Energy based Four-Interconnected Unequal Hybrid Microgrids, 2019 IEEE International Conference on Sustainable Energy Technologies and Systems (ICSETS), Bhubaneswar, India, March 26-01, 2019, pp: 273-278.
  • Barik A. K., Das, D.C., Expeditious frequency control of solar photovoltaic/biogas/biodiesel generator based isolated renewable microgrid using grasshopper optimisation algorithm, IET Renewable Power Generation 12(14), 1659-1667, 2018.
  • Barik A. K., Das D.C., Coordinated regulation of voltage and load frequency in demand response supported biorenewable cogeneration-based isolated hybrid microgrid with quasi-oppositional selfish herd optimization, International Transactions on Electrical Energy Systems 30(1), 12176, 2020.
  • Baykal N., Beyan T., Bulanık Mantık İlke ve Temelleri, Bıçaklar Kitabevi, Ankara, 2004.
  • Bevrani H., Habibi F., Babahajyani P., Watanabe M., Mitani Y., Intelligent frequency control in an AC microgrid: Online PSO-based fuzzy tuning approach, IEEE Transactions Smart Grid 3(4), 1935-1944, 2012.
  • Bingöl H., Alataş B., Metasezgisel Optimizasyon Tekniklerine Spor Tabanlı Yeni Bir Yaklaşım: Lig Şampiyonası Algoritması, Fırat Üniversitesi Fen Bilimleri Dergisi 27(1): 1-11, 2015.
  • Dorigo M., Gambardella L. M., Ant Colonies for the Travelling Salesman Problem, Biosystems, 43 (2), 73-81, 1997.
  • Dorigo M., Dicaro G., Gambardella L. M., Ant Algorithms for Discrete Optimization, in Artificial Life 5(2), 137-172, 1999.
  • Elkawafi S., Khalil A., Elgaiyar AI., Wang J., Delay-dependent stability of LFC in Microgrid with varying time delays, 22nd International Conference on Automation and Computing (ICAC), Colchester, UK, September 07-08, 2016, pp: 354-359.
  • Husseinzadeh K. A., League Championship Algorithm: A New Algorithm for Numerical Function Optimization, International Conference of Soft Computing and Pattern Recognition, Malacca, Malaysia, December 04-07, 2009, pp: 43-48.
  • Karaboga D., An idea based on honeybee swarm for numerical optimization, Technical ReportTR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005.
  • Kennedy J., Eberhard R. C., Particle swarm optimization, Proceedings of ICNN'95 - International Conference on Neural Networks, Perth, WA, Australia, November 27-01, 1995, pp: 1942-1948.
  • Kılıç E., Özdemir M. T., Güç Sistemlerindeki Optimum Otomatik Gerilim Regülasyonu için Çoklu Amaç Fonksiyonunun Belirlenmesi, Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 10(1), 1-12, 2019.
  • Kocaman B., Mikro Şebekeler İçin Örnek Bir Enerji Yönetimi Uygulaması, BEÜ Fen Bilimleri Dergisi, 3(1), 35-52, 2014.
  • Mordjaoui M., Haddad S., Medoued A., Laouafi A., Electric load forecasting by using dynamic neural network. International Journal of Hydrogen Energy 42(28), 17655-17663, 2017.
  • Özdemir M. T., Öztürk D., Comparative performance analysis of optimal PID parameters tuning based on the optics inspired optimization methods for automatic generation control. Energies 10(12), 2134, 2017.
  • Özdemir M. T., Yıldırım B., Gülan H., Gençoğlu M. T., Automatic generation control in an AC isolated microgrid using the league championship, Fırat Üniversitesi Mühendislik Bilimleri Dergisi 29(1), 109-120, 2017.
  • Parmar K. P. S., Majhi S., Kothari D. P., Load Frequency Control of a realistic power system with multi-source power generation. International Journal of Electirical Power &Energy Systems 42(1), 426-433, 2012.
  • Subramanyam M. V., Satyaprasad K., Gopi Krishna Rao P. V., Study on PID Controller Design and Performance Based on Tuning Techniques, International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), Kanyakumari, India, July 10-11, 2014, pp:1411-1417.
  • Tucho G.T., Nonhebel S., Alternative energy supply system to a rural village in Ethiopia, Energy Sustainability and Society 7:33, 2017.
  • Yıldırım B., Bir Mikro Şebekenin Yük Frekans Kontrolü İçin Tamsayı Derece Yaklaşımlı Kesir Dereceli PID Kontrolörün Optimizasyonu. DÜMF Mühendislik Dergisi 12(1), 79-87, 2021.
  • Yıldırım B., Advanced controller design based on gain and phase margin for microgrid containing PV/WTG/Fuel cell/Electrolyzer/BESS, International Journal of Hydrogen Energy 46(30), 16481-16493, 2021.
  • Yıldırım B., Gheisarnejad M., Khooban M. H., Delay-Dependent Stability Analysis of Modern Shipboard Microgrids, IEEE Transactions on Circuits and Systems-I: Regular Papers 68(4), 1693-1705, 2021.

Biyoyenilenebilir Enerji Tabanlı Mikro Şebekenin Yük Frekansı Kontrolü İçin Fuzzy PID Kontrolör

Year 2022, Volume: 3 Issue: 2, 206 - 224, 18.12.2022
https://doi.org/10.55546/jmm.1105012

Abstract

Günümüzde enerji tüketiminin giderek arttığı, çevre koruma bilincinin geliştiği ve enerji piyasalarındaki serbestleşmenin istikrarlı şekilde ilerlediği görülmektedir. Bu nedenle, yeni teknolojiler yardımı ile yenilenebilir enerji kaynaklarından (YEK) daha fazla yararlanmaya yönelik politikalar üretilmekte ve dağıtılmış üretim sistemlerine olan ilginin artması sağlanmaktadır. Mikro şebekeler YEK’lerin şebekeye entegrasyonunda önemli avantajlar sağlayan bir çözüm olarak ortaya çıkmıştır. Mikro şebekelerin yapılarında bulunan YEK’lerin değişken üretim yapıları gibi bazı belirsizliklere sahip olması, bu sistemlerde frekans kararlılığını önemli problemlerden biri haline getirir. Bir mikro şebeke modeline etkin bir yük frekansı kontrolünün (YFK) sağlanması, bu sistemlerin kararlılığı ile ilgili iyileştirmelere önemli ölçüde katkıda bulunur. Bu çalışmada, mikro şebekede, YFK’de karşılaşılan zorlukların üstesinden gelmek için bir fuzzy oransal integral türev(PID - Proportional-Integral-Derivative) kontrolör yapısı önerilmiştir. En uygun kontrolör parametrelerinin belirlenmesi için lig şampiyonası algoritması (LŞA), karınca koloni algoritması (KKA) ve parçacık sürü optimizasyon (PSO) algoritmaları kullanılmıştır. Aynı zamanda, fuzzy PID kontrolörünün kazançlarının en uygun değerlerinin elde edilmesi için zaman ağırlıklı mutlak hatanın toplamı (ITAE - Integral Time-weighted Absolute Error) maliyet fonksiyonu kullanılmıştır. Çalışma sonucunda önerilen kontrolörün performansı klasik PID kontrolör ile karşılaştırılmıştır.

References

  • Al-Dhaifallah M., Kanagaraj N., Nisar K. S., Fuzzy Fractional-Order PID Controller for Fractional Model of Pneumatic Pressure System. Mathematical Problems in Engineering 2018, 5478781, 2018.
  • Barik A. K., Das D. C., Active power management of isolated renewable microgrid generating power from Rooftop solar arrays, sewage waters and solid urban wastes of a smart city using Salp swarm algorithm, Technologies for Smart-City Energy Security and Power (ICSESP), Bhubaneswar, India, March 28-30, 2018, pp: 1-6.
  • Barik A. K., Das D. C., Muduli R., Demand Response Supported Optimal Load-Frequency Regulation of Sustainable Energy based Four-Interconnected Unequal Hybrid Microgrids, 2019 IEEE International Conference on Sustainable Energy Technologies and Systems (ICSETS), Bhubaneswar, India, March 26-01, 2019, pp: 273-278.
  • Barik A. K., Das, D.C., Expeditious frequency control of solar photovoltaic/biogas/biodiesel generator based isolated renewable microgrid using grasshopper optimisation algorithm, IET Renewable Power Generation 12(14), 1659-1667, 2018.
  • Barik A. K., Das D.C., Coordinated regulation of voltage and load frequency in demand response supported biorenewable cogeneration-based isolated hybrid microgrid with quasi-oppositional selfish herd optimization, International Transactions on Electrical Energy Systems 30(1), 12176, 2020.
  • Baykal N., Beyan T., Bulanık Mantık İlke ve Temelleri, Bıçaklar Kitabevi, Ankara, 2004.
  • Bevrani H., Habibi F., Babahajyani P., Watanabe M., Mitani Y., Intelligent frequency control in an AC microgrid: Online PSO-based fuzzy tuning approach, IEEE Transactions Smart Grid 3(4), 1935-1944, 2012.
  • Bingöl H., Alataş B., Metasezgisel Optimizasyon Tekniklerine Spor Tabanlı Yeni Bir Yaklaşım: Lig Şampiyonası Algoritması, Fırat Üniversitesi Fen Bilimleri Dergisi 27(1): 1-11, 2015.
  • Dorigo M., Gambardella L. M., Ant Colonies for the Travelling Salesman Problem, Biosystems, 43 (2), 73-81, 1997.
  • Dorigo M., Dicaro G., Gambardella L. M., Ant Algorithms for Discrete Optimization, in Artificial Life 5(2), 137-172, 1999.
  • Elkawafi S., Khalil A., Elgaiyar AI., Wang J., Delay-dependent stability of LFC in Microgrid with varying time delays, 22nd International Conference on Automation and Computing (ICAC), Colchester, UK, September 07-08, 2016, pp: 354-359.
  • Husseinzadeh K. A., League Championship Algorithm: A New Algorithm for Numerical Function Optimization, International Conference of Soft Computing and Pattern Recognition, Malacca, Malaysia, December 04-07, 2009, pp: 43-48.
  • Karaboga D., An idea based on honeybee swarm for numerical optimization, Technical ReportTR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005.
  • Kennedy J., Eberhard R. C., Particle swarm optimization, Proceedings of ICNN'95 - International Conference on Neural Networks, Perth, WA, Australia, November 27-01, 1995, pp: 1942-1948.
  • Kılıç E., Özdemir M. T., Güç Sistemlerindeki Optimum Otomatik Gerilim Regülasyonu için Çoklu Amaç Fonksiyonunun Belirlenmesi, Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 10(1), 1-12, 2019.
  • Kocaman B., Mikro Şebekeler İçin Örnek Bir Enerji Yönetimi Uygulaması, BEÜ Fen Bilimleri Dergisi, 3(1), 35-52, 2014.
  • Mordjaoui M., Haddad S., Medoued A., Laouafi A., Electric load forecasting by using dynamic neural network. International Journal of Hydrogen Energy 42(28), 17655-17663, 2017.
  • Özdemir M. T., Öztürk D., Comparative performance analysis of optimal PID parameters tuning based on the optics inspired optimization methods for automatic generation control. Energies 10(12), 2134, 2017.
  • Özdemir M. T., Yıldırım B., Gülan H., Gençoğlu M. T., Automatic generation control in an AC isolated microgrid using the league championship, Fırat Üniversitesi Mühendislik Bilimleri Dergisi 29(1), 109-120, 2017.
  • Parmar K. P. S., Majhi S., Kothari D. P., Load Frequency Control of a realistic power system with multi-source power generation. International Journal of Electirical Power &Energy Systems 42(1), 426-433, 2012.
  • Subramanyam M. V., Satyaprasad K., Gopi Krishna Rao P. V., Study on PID Controller Design and Performance Based on Tuning Techniques, International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), Kanyakumari, India, July 10-11, 2014, pp:1411-1417.
  • Tucho G.T., Nonhebel S., Alternative energy supply system to a rural village in Ethiopia, Energy Sustainability and Society 7:33, 2017.
  • Yıldırım B., Bir Mikro Şebekenin Yük Frekans Kontrolü İçin Tamsayı Derece Yaklaşımlı Kesir Dereceli PID Kontrolörün Optimizasyonu. DÜMF Mühendislik Dergisi 12(1), 79-87, 2021.
  • Yıldırım B., Advanced controller design based on gain and phase margin for microgrid containing PV/WTG/Fuel cell/Electrolyzer/BESS, International Journal of Hydrogen Energy 46(30), 16481-16493, 2021.
  • Yıldırım B., Gheisarnejad M., Khooban M. H., Delay-Dependent Stability Analysis of Modern Shipboard Microgrids, IEEE Transactions on Circuits and Systems-I: Regular Papers 68(4), 1693-1705, 2021.
There are 25 citations in total.

Details

Primary Language Turkish
Subjects Electrical Engineering
Journal Section Research Articles
Authors

Dursun Öztürk 0000-0002-0335-8118

Burak Yıldırım 0000-0002-2118-4297

Gizem Doğan 0000-0001-9286-4479

Publication Date December 18, 2022
Submission Date April 19, 2022
Published in Issue Year 2022 Volume: 3 Issue: 2

Cite

APA Öztürk, D., Yıldırım, B., & Doğan, G. (2022). Biyoyenilenebilir Enerji Tabanlı Mikro Şebekenin Yük Frekansı Kontrolü İçin Fuzzy PID Kontrolör. Journal of Materials and Mechatronics: A, 3(2), 206-224. https://doi.org/10.55546/jmm.1105012
AMA Öztürk D, Yıldırım B, Doğan G. Biyoyenilenebilir Enerji Tabanlı Mikro Şebekenin Yük Frekansı Kontrolü İçin Fuzzy PID Kontrolör. J. Mater. Mechat. A. December 2022;3(2):206-224. doi:10.55546/jmm.1105012
Chicago Öztürk, Dursun, Burak Yıldırım, and Gizem Doğan. “Biyoyenilenebilir Enerji Tabanlı Mikro Şebekenin Yük Frekansı Kontrolü İçin Fuzzy PID Kontrolör”. Journal of Materials and Mechatronics: A 3, no. 2 (December 2022): 206-24. https://doi.org/10.55546/jmm.1105012.
EndNote Öztürk D, Yıldırım B, Doğan G (December 1, 2022) Biyoyenilenebilir Enerji Tabanlı Mikro Şebekenin Yük Frekansı Kontrolü İçin Fuzzy PID Kontrolör. Journal of Materials and Mechatronics: A 3 2 206–224.
IEEE D. Öztürk, B. Yıldırım, and G. Doğan, “Biyoyenilenebilir Enerji Tabanlı Mikro Şebekenin Yük Frekansı Kontrolü İçin Fuzzy PID Kontrolör”, J. Mater. Mechat. A, vol. 3, no. 2, pp. 206–224, 2022, doi: 10.55546/jmm.1105012.
ISNAD Öztürk, Dursun et al. “Biyoyenilenebilir Enerji Tabanlı Mikro Şebekenin Yük Frekansı Kontrolü İçin Fuzzy PID Kontrolör”. Journal of Materials and Mechatronics: A 3/2 (December 2022), 206-224. https://doi.org/10.55546/jmm.1105012.
JAMA Öztürk D, Yıldırım B, Doğan G. Biyoyenilenebilir Enerji Tabanlı Mikro Şebekenin Yük Frekansı Kontrolü İçin Fuzzy PID Kontrolör. J. Mater. Mechat. A. 2022;3:206–224.
MLA Öztürk, Dursun et al. “Biyoyenilenebilir Enerji Tabanlı Mikro Şebekenin Yük Frekansı Kontrolü İçin Fuzzy PID Kontrolör”. Journal of Materials and Mechatronics: A, vol. 3, no. 2, 2022, pp. 206-24, doi:10.55546/jmm.1105012.
Vancouver Öztürk D, Yıldırım B, Doğan G. Biyoyenilenebilir Enerji Tabanlı Mikro Şebekenin Yük Frekansı Kontrolü İçin Fuzzy PID Kontrolör. J. Mater. Mechat. A. 2022;3(2):206-24.

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