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PSO Algoritması ile Optimize Edilmiş PID Denetleyicinin Fotovoltaik MPPT Sistemine Uyarlanması

Yıl 2017, Cilt: 20 Sayı: 4, 1 - 8, 27.12.2017

Osman Doğmuş Erdal Kılıc Sami Şit Mahit Güneş

https://doi.org/10.17780/ksujes.362618
Cited By: 3

Öz

Maksimum güç noktası izleme (MPPT), fotovoltaik (PV) sistemlerde, DC-DC
dönüştürücülerin anahtarlama darbe genişliğini (duty cycle) değiştirerek çıkış
gücünü maksimize etmek için kullanılır. Bu çalışmada, PV sistemler için
parçacık sürü optimizasyon (PSO) tabanlı PID ile MPPT algoritması sunulmuştur. Önerilen
yöntemin başarısını test etmek amacıyla elde edilen sonuçlar, klasik PID
denetleyici ve PV sistemlerde yaygın kullanılan değiştir ve gözle (P&O)
yöntemlerinin sonuçları ile karşılaştırılmıştır. Çalışmalar Matlab/Simulink ortamında
gerçekleştirilmiştir. Önerilen denetim yapısının hem geçici hem de kararlı durumlarda diğer yöntemlere
göre daha başarılı olduğu görülmüştür.

Anahtar Kelimeler

PSO PID MPPT PV

Kaynakça

  • Akhtar, H.E., Sharma, V., Chandra, A., Al-Haddad, K., (2003) Modelling, Simulation and Performance Analysis of Switched Reluctance Motor Operating with Optimum Value of Fixed Turn-On and Turn-Off Switching Angles. IEEE Proceeding (2003), pp 397–402.
  • Anto, E.K., Asumadu, J.A., Okyere, P.Y., 2016. PID-based P&O MPPT Controller for Offgrid Solar PV Systems Using Ziegler-Nichols Tuning Method to Step, Ramp and Impulse Inputs. Journal of Multidisciplinary Engineering Science Studies (JMESS). Vol. 2 Issue 7, July - 2016
  • Avirajamanjula, P., PAlanivel, P., 2015. Development of a Universal Controller for Converter Based Switched Reluctance Motors. Power Electronics and Renewable Energy Systems, Lecture Notes in Electrical Engineering 326, DOI 10.1007/978-81-322-2119-7_79, pp. 811-818.
  • Baş, Z., Selçuk, T., Yılmaz, A.S., Analysis and Design of Boost Converter Using Peak Current Mode Control Technique. International Conference on Natural Science and Engineering (ICNASE’16). March 19-20, 2016, Kilis, Turkey.
  • Coello Coello, C.A., Reyes-Sierra, M. 2006. Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art. Int. J. Comput. Int. Sys., 2(3): 287–308.
  • Erkol, H.O., 2017. GA ve PSO ile Kontrol Parametrelerinin Optimizasyonu. Karaelmas Fen ve Mühendislik Dergisi, Vol: 7(1), pp.179-185.
  • Femia, N., Petrone, G., Spagnuolo, G., Vitelli, M. (2005). Optimization of Perturb and Observe Maximum Power Point Tracking Method. IEEE Trans. Power Electron., vol. 20, no. 4, pp. 963-973.
  • Anil, G., Murugan, N., Ubaid, M., 2013. “PI Controller based MPPT for a PV System”, IOSR Journal of Electrical and Electronics Engineering, Volume 6, No.5, pp,10-15.
  • Gani, A., Kılıç, E., Keçecioğlu, Ö.F., Açıkgöz, H., Tekin, M., Şekkeli, M., (2017). A Simulation Study on Controlling Excitation Current of Synchronous Motor and Reactive Power Compensation via PSO Based PID and PID Controllers. Akıllı Sistemlerde Yenilikler ve Uygulamaları Konferansı (ASYU 2017), 5-7 Ekim, Alanya.
  • Gules, R., Pacheco, J.D.P., Hey, H. L. and Imhoff, J., 2008. A Maximum Power Point Tracking System with Parallel Connection for PV Stand-Alone Applications, IEEE Transactions on Industrial Electronics, vol. 55, no. 7, pp. 2674–2683.
  • Hasaneen, BM., Elbaset Mohammed, AA., (2007) Design and Simulation of DC/DC Converter. 12th International Middle-East, Power System Conference, MEPCON 2008, pp.335–340.
  • Keçecioğlu, Ö.F., Tekin, M., Gani, A., Açıkgöz, H., Gemci, A., Şekkeli, M., 2015. Investigation of A Solar Power Plant’s Effect over The Power Quality Parameters on Power System. KSU. Journal of Engineering Sciences, Vol:18(2), pp.17-24.
  • Kumar, B.A., Venkatesh, M.S., Muralikrishna, G.M., 2015. Optimization of Photovoltaic Power Using PID MPPT Controller Based on Incremental Conductance Algorithm. Power Electronics and Renewable Energy Systems, Lecture Notes in Electrical Engineering 326, DOI 10.1007/978-81-322-2119-7_78 , pp. 803-809.
  • Kurak, E., Erdemir, V., Dursun, B., 2016. PV Sistemin İçin Maksimum Güç Noktası İzleyicisi Tasarımı ve Uygulaması. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 4 (2016), ss. 581-592.
  • Kwon, J.M., Kwon, B.H. and Nam, K.H., 2009. Grid-Connected Photovoltaic Multistring PCS with PV Current Variation Reduction Control,” IEEE Transactions on Industrial Electronics, vol. 56, no. 11, pp. 4381–4388.
  • Marini, F., Walczak, B. 2015. Particle Swarm Optimization (PSO) A Tutorial. Chemometric. Intell. Lab. Syst., 149:153–165.
  • Midya, P., Krein, P.T., Greuel, M.F. 2007. Sensorless Current Mode Control-an Observer-Based Technique for DC-DC Converters. IEEE Trans Power Electron 16(4):522–526.
  • Nagarajan, R., Yuvaraj, R., Hemalatha, V., Logapriya, S., Mekala, A., Priyanga, S., 2017. Implementation of PV - Based Boost Converter Using PI Controller with PSO Algorithm. International Journal Of Engineering And Computer Science ISSN:2319-7242, Volume 6 Issue 3 March 2017, Page No. 20479-20484, Index Copernicus value (2015): 58.10 DOI: 10.18535/ijecs/v6i3.14.
  • Ortiz-Rivera, E., (2008). Maximum Power Point Tracking using The Optimal Duty Ratio for DC/DC Converters and Load Matching in Photovoltaic Application. Applied Power Electronics Conference and Exposition, 2008. APEC 2008. Twenty-Third Annual IEEE, pp.987–991.
  • Özçelik, M.A., Yilmaz, A.S., (2015). Effect of Maximum Power Point Tracking in Photovoltaic Systems and Its Improving and Its Application of Wireless Energy Transmission. Journal of Clean Energy Technologies, Vol. 3, No. 6, November 2015, pp. 441-416.
  • Özçelik, M.A., Yilmaz, A.S., (2016). Effect of Improving Perturb and Observe MPPT Algorithm on AC Grid Connected PV Systems, Istanbul University - Journal of Electrical & Electronics Engineering (IU - JEEE), 16(2), 3025-3032.
  • Samrat, N.H., Ahmad, N.B., Choudhury, I.A., Taha. Z.B., 2014. Modeling, Control, and Simulation of Battery Storage Photovoltaic-Wave Energy Hybrid Renewable Power Generation Systems for Island Electrification in Malaysia. The Scientific World Journal, pp. 1-21.
  • Surendran, S., Selvakumar, R.B., 2015. Cascaded Dual Buck Inverter with Sensorless Current Control Method for Grid Connected Photovoltaic Systems. Power Electronics and Renewable Energy Systems, Lecture Notes in Electrical Engineering 326, DOI 10.1007/978-81-322-2119-7_102 , pp. 1047-1056.
  • Yau, H.T., Lin, C.J., and Liang, Q.C., 2013. PSO based PI Controller Design for a Solar Charger System,” The Scientific World Journal, Vol. 2013, Article ID 815280, pp. 1-13.
  • Ziegler, JG., Nichols, NB. 1993. Optimum Settings for Automatic Controllers. Journal of Dynamic Systems, Measurement and Control, 115(2B): 759-765.

Adaptation of Optimized PID Controller with PSO Algorithm to Photovoltaic MPPT System

Yıl 2017, Cilt: 20 Sayı: 4, 1 - 8, 27.12.2017

Osman Doğmuş Erdal Kılıc Sami Şit Mahit Güneş

https://doi.org/10.17780/ksujes.362618
Cited By: 3

Öz

Maximum power
point tracking (MPPT) is used in photovoltaic (PV) systems to maximize output
power by changing the switching duty cycle of DC-DC converters. In this work,
MPPT algorithm with PID optimization based on particle swarm optimization (PSO)
is presented for PV systems. In order to test the success of the proposed
method, the results obtained are compared with the results of conventional PID
controller and P&O methods commonly used in PV systems. The work was
carried out in Matlab / Simulink environment. It has been observed that the
proposed control structure is more successful than other methods in both
transient and steady-state situations.

Anahtar Kelimeler

PSO PID MPPT PV

Kaynakça

  • Akhtar, H.E., Sharma, V., Chandra, A., Al-Haddad, K., (2003) Modelling, Simulation and Performance Analysis of Switched Reluctance Motor Operating with Optimum Value of Fixed Turn-On and Turn-Off Switching Angles. IEEE Proceeding (2003), pp 397–402.
  • Anto, E.K., Asumadu, J.A., Okyere, P.Y., 2016. PID-based P&O MPPT Controller for Offgrid Solar PV Systems Using Ziegler-Nichols Tuning Method to Step, Ramp and Impulse Inputs. Journal of Multidisciplinary Engineering Science Studies (JMESS). Vol. 2 Issue 7, July - 2016
  • Avirajamanjula, P., PAlanivel, P., 2015. Development of a Universal Controller for Converter Based Switched Reluctance Motors. Power Electronics and Renewable Energy Systems, Lecture Notes in Electrical Engineering 326, DOI 10.1007/978-81-322-2119-7_79, pp. 811-818.
  • Baş, Z., Selçuk, T., Yılmaz, A.S., Analysis and Design of Boost Converter Using Peak Current Mode Control Technique. International Conference on Natural Science and Engineering (ICNASE’16). March 19-20, 2016, Kilis, Turkey.
  • Coello Coello, C.A., Reyes-Sierra, M. 2006. Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art. Int. J. Comput. Int. Sys., 2(3): 287–308.
  • Erkol, H.O., 2017. GA ve PSO ile Kontrol Parametrelerinin Optimizasyonu. Karaelmas Fen ve Mühendislik Dergisi, Vol: 7(1), pp.179-185.
  • Femia, N., Petrone, G., Spagnuolo, G., Vitelli, M. (2005). Optimization of Perturb and Observe Maximum Power Point Tracking Method. IEEE Trans. Power Electron., vol. 20, no. 4, pp. 963-973.
  • Anil, G., Murugan, N., Ubaid, M., 2013. “PI Controller based MPPT for a PV System”, IOSR Journal of Electrical and Electronics Engineering, Volume 6, No.5, pp,10-15.
  • Gani, A., Kılıç, E., Keçecioğlu, Ö.F., Açıkgöz, H., Tekin, M., Şekkeli, M., (2017). A Simulation Study on Controlling Excitation Current of Synchronous Motor and Reactive Power Compensation via PSO Based PID and PID Controllers. Akıllı Sistemlerde Yenilikler ve Uygulamaları Konferansı (ASYU 2017), 5-7 Ekim, Alanya.
  • Gules, R., Pacheco, J.D.P., Hey, H. L. and Imhoff, J., 2008. A Maximum Power Point Tracking System with Parallel Connection for PV Stand-Alone Applications, IEEE Transactions on Industrial Electronics, vol. 55, no. 7, pp. 2674–2683.
  • Hasaneen, BM., Elbaset Mohammed, AA., (2007) Design and Simulation of DC/DC Converter. 12th International Middle-East, Power System Conference, MEPCON 2008, pp.335–340.
  • Keçecioğlu, Ö.F., Tekin, M., Gani, A., Açıkgöz, H., Gemci, A., Şekkeli, M., 2015. Investigation of A Solar Power Plant’s Effect over The Power Quality Parameters on Power System. KSU. Journal of Engineering Sciences, Vol:18(2), pp.17-24.
  • Kumar, B.A., Venkatesh, M.S., Muralikrishna, G.M., 2015. Optimization of Photovoltaic Power Using PID MPPT Controller Based on Incremental Conductance Algorithm. Power Electronics and Renewable Energy Systems, Lecture Notes in Electrical Engineering 326, DOI 10.1007/978-81-322-2119-7_78 , pp. 803-809.
  • Kurak, E., Erdemir, V., Dursun, B., 2016. PV Sistemin İçin Maksimum Güç Noktası İzleyicisi Tasarımı ve Uygulaması. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 4 (2016), ss. 581-592.
  • Kwon, J.M., Kwon, B.H. and Nam, K.H., 2009. Grid-Connected Photovoltaic Multistring PCS with PV Current Variation Reduction Control,” IEEE Transactions on Industrial Electronics, vol. 56, no. 11, pp. 4381–4388.
  • Marini, F., Walczak, B. 2015. Particle Swarm Optimization (PSO) A Tutorial. Chemometric. Intell. Lab. Syst., 149:153–165.
  • Midya, P., Krein, P.T., Greuel, M.F. 2007. Sensorless Current Mode Control-an Observer-Based Technique for DC-DC Converters. IEEE Trans Power Electron 16(4):522–526.
  • Nagarajan, R., Yuvaraj, R., Hemalatha, V., Logapriya, S., Mekala, A., Priyanga, S., 2017. Implementation of PV - Based Boost Converter Using PI Controller with PSO Algorithm. International Journal Of Engineering And Computer Science ISSN:2319-7242, Volume 6 Issue 3 March 2017, Page No. 20479-20484, Index Copernicus value (2015): 58.10 DOI: 10.18535/ijecs/v6i3.14.
  • Ortiz-Rivera, E., (2008). Maximum Power Point Tracking using The Optimal Duty Ratio for DC/DC Converters and Load Matching in Photovoltaic Application. Applied Power Electronics Conference and Exposition, 2008. APEC 2008. Twenty-Third Annual IEEE, pp.987–991.
  • Özçelik, M.A., Yilmaz, A.S., (2015). Effect of Maximum Power Point Tracking in Photovoltaic Systems and Its Improving and Its Application of Wireless Energy Transmission. Journal of Clean Energy Technologies, Vol. 3, No. 6, November 2015, pp. 441-416.
  • Özçelik, M.A., Yilmaz, A.S., (2016). Effect of Improving Perturb and Observe MPPT Algorithm on AC Grid Connected PV Systems, Istanbul University - Journal of Electrical & Electronics Engineering (IU - JEEE), 16(2), 3025-3032.
  • Samrat, N.H., Ahmad, N.B., Choudhury, I.A., Taha. Z.B., 2014. Modeling, Control, and Simulation of Battery Storage Photovoltaic-Wave Energy Hybrid Renewable Power Generation Systems for Island Electrification in Malaysia. The Scientific World Journal, pp. 1-21.
  • Surendran, S., Selvakumar, R.B., 2015. Cascaded Dual Buck Inverter with Sensorless Current Control Method for Grid Connected Photovoltaic Systems. Power Electronics and Renewable Energy Systems, Lecture Notes in Electrical Engineering 326, DOI 10.1007/978-81-322-2119-7_102 , pp. 1047-1056.
  • Yau, H.T., Lin, C.J., and Liang, Q.C., 2013. PSO based PI Controller Design for a Solar Charger System,” The Scientific World Journal, Vol. 2013, Article ID 815280, pp. 1-13.
  • Ziegler, JG., Nichols, NB. 1993. Optimum Settings for Automatic Controllers. Journal of Dynamic Systems, Measurement and Control, 115(2B): 759-765.
Toplam 25 adet kaynakça vardır.

Ayrıntılar

Konular Elektrik Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Osman Doğmuş

Erdal Kılıc 0000-0002-1572-6109

Sami Şit 0000-0002-5830-2277

Mahit Güneş 0000-0002-1552-3889

Yayımlanma Tarihi 27 Aralık 2017
Gönderilme Tarihi 5 Aralık 2017
Yayımlandığı Sayı Yıl 2017Cilt: 20 Sayı: 4

Kaynak Göster

APA Doğmuş, O., Kılıc, E., Şit, S., Güneş, M. (2017). PSO Algoritması ile Optimize Edilmiş PID Denetleyicinin Fotovoltaik MPPT Sistemine Uyarlanması. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 20(4), 1-8. https://doi.org/10.17780/ksujes.362618

Cited By

Improved hybrid intelligent controller design for MPPT of stand-alone PV System
Turkish Journal of Engineering
https://doi.org/10.31127/tuje.652229
ADAPTİF PARÇACIK SÜRÜ (APSO) ve KARINCA KOLONİSİ OPTİMİZASYONU (KKA) KULLANARAK ÖZ AYARLAMALI PID KONTROLÖR TASARIMI
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi
https://doi.org/10.17780/ksujes.655044
MOBİL ROBOT KOLUNUN PSO İLE STABİLİZASYONU
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi
https://doi.org/10.17780/ksujes.600310