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İki Bölgeli Termik Güç Sistemi ve Fotovoltaik Güç Sisteminin Yük-Frekans Denetimi İçin 1PDF-PI denetleyici ile Frekans Regülasyonu

Year 2024, Volume: 12 Issue: 3, 498 - 510, 30.09.2024
https://doi.org/10.29109/gujsc.1488286

Abstract

Dünyada hızla artan nüfus ve sanayileşme nedeniyle enerji ihtiyacı her geçen gün artmaktadır. Artan enerji ihtiyacını karşılamak için farklı enerji üretim kaynaklarının enterkonnekte güç sistemlerine birlikte bağlanması zorunlu hale gelmektedir. Güç sistemlerinde üretilen enerjinin kalitesini ve güvenilirliğini belirleyen en önemli parametrelerden birisi frekanstır. Enterkonnekte sistemlerde herhangi bir alanda meydana gelen yük değişimi, sisteme bağlı olan diğer alanlarda da frekans ve güç değerlerinin değişmesine neden olmaktadır. Bu çalışmada, güç sistemlerinde yük frekans kontrolü (YFK) için birbirine eklemeli (kaskat) bir filtreli oransal türev (1PDF)- oransal integral (PI) denetleyici tanıtılmaktadır. 1PDF-PI denetleyici parametrelerinin (K_p1, K_d, F, K_p2, K_i) optimum değerlerinin bulunması için stokastik fraktal arama (SFA) algoritmasından faydalanılmıştır. Denetleyici parametrelerinin performans indeksi hem alanların frekans sapmaları hem de bağlantı hattı gücü sapmaları zamanla çarpılan mutlak hatanın (ITAE) integrali ile uzman bilgisine gerek duyulmadan optimum şekilde tanımlanmıştır. SFA tabanlı 1PDF-PI denetleyicinin güç sistemine katkısını doğrulamak için literatürdeki benzer yapıya sahip çalışmalarla karşılaştırılmıştır. Elde edilen sonuçlar önerilen yöntemin sistem performansı üzerinde frekans, bağlantı hattı üzerindeki salını, oturma süresi ve ITAE değerleri bakımından önemli derecede iyileşme olduğu gözlemlenmiştir.

References

  • [1] S. Davtalab, B. Tousi, and D. Nazarpour, “Optimized Intelligent Coordinator for Load Frequency Control in a Two-Area System with PV Plant and Thermal Generator,” IETE J Res, vol. 68, no. 5, pp. 3876–3886, Sep. 2022, doi: 10.1080/03772063.2020.1782777.
  • [2] N. Hakimuddin, I. Nasiruddin, T. S. Bhatti, and Y. Arya, “Optimal Automatic Generation Control with Hydro, Thermal, Gas, and Wind Power Plants in 2-Area Interconnected Power System,” Electric Power Components and Systems, vol. 48, no. 6–7, pp. 558–571, Aug. 2020, doi: 10.1080/15325008.2020.1793829.
  • [3] E. Çelik, “Termik Güç Santrali ve Fotovoltaik Güneş Enerji Sisteminden Oluşan Güç Sisteminde Üstel PI Denetleyici ile Sekonder Frekans Regülasyonu,” Mühendislik Bilimleri ve Araştırmaları Dergisi, vol. 6, no. 1, pp. 133–142, Apr. 2024, doi: 10.46387/BJESR.1456068.
  • [4] S. Golshannavaz, R. Khezri, M. Esmaeeli, and P. Siano, “A two-stage robust-intelligent controller design for efficient LFC based on Kharitonov theorem and fuzzy logic,” J Ambient Intell Humaniz Comput, vol. 9, no. 5, pp. 1445–1454, Oct. 2018, doi: 10.1007/S12652-017-0569-2/FIGURES/15.
  • [5] F. Kalavani, M. Zamani-Gargari, B. Mohammadi-Ivatloo, and M. Rasouli, “A contemporary review of the applications of nature-inspired algorithms for optimal design of automatic generation control for multi-area power systems,” Artif Intell Rev, vol. 51, no. 2, pp. 187–218, Feb. 2019, doi: 10.1007/S10462-017-9561-7/TABLES/6.
  • [6] A. Oshnoei, R. Khezri, S. M. Muyeen, and F. Blaabjerg, “On the Contribution of Wind Farms in Automatic Generation Control: Review and New Control Approach,” Applied Sciences 2018, Vol. 8, Page 1848, vol. 8, no. 10, p. 1848, Oct. 2018, doi: 10.3390/APP8101848.
  • [7] R. Khezri, A. Oshnoei, M. T. Hagh, and S. M. Muyeen, “Coordination of Heat Pumps, Electric Vehicles and AGC for Efficient LFC in a Smart Hybrid Power System via SCA-Based Optimized FOPID Controllers,” Energies 2018, Vol. 11, Page 420, vol. 11, no. 2, p. 420, Feb. 2018, doi: 10.3390/EN11020420.
  • [8] E. Çelik and A. Dalcalı, “Performance betterment of load frequency regulation using snake search algorithm for an interconected power system incorporating thermal plant and pv power station,” 5th International Antalya Scientific Research and Innovative Studies Congress, pp. 610–621, Jul. 2023.
  • [9] S. M. Abd-Elazim and E. S. Ali, “Load frequency controller design of a two-area system composing of PV grid and thermal generator via firefly algorithm,” Neural Comput Appl, vol. 30, no. 2, pp. 607–616, Jul. 2018, doi: 10.1007/S00521-016-2668-Y/FIGURES/13.
  • [10] M. Sharma, R. K. Bansal, S. Prakash, and S. Asefi, “MVO Algorithm Based LFC Design of a Six-Area Hybrid Diverse Power System Integrating IPFC and RFB,” IETE J Res, vol. 67, no. 3, pp. 394–407, 2021, doi: 10.1080/03772063.2018.1548908.
  • [11] Z. Y. Yilmaz, G. Bal, E. Çelik, N. Öztörk, U. Gövenç, and Y. Arya, “Yük frekans kontrolünde kullanılan ikincil denetleyicilerin optimizasyonuna yönelik yeni bir hedef fonksiyonu tasarımı,” Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, vol. 36, no. 4, pp. 2053–2068, Sep. 2021, doi: 10.17341/GAZIMMFD.841751.
  • [12] E. Çelik, “Improved stochastic fractal search algorithm and modified cost function for automatic generation control of interconnected electric power systems,” Eng Appl Artif Intell, vol. 88, p. 103407, Feb. 2020, doi: 10.1016/J.ENGAPPAI.2019.103407.
  • [13] S. A. Jeddi, S. Hamidreza Abbasi, and F. Shabaninia, “Load frequency control of two area interconnected power system (Diesel Generator and Solar PV) with PI and FGSPI controller,” AISP 2012 - 16th CSI International Symposium on Artificial Intelligence and Signal Processing, pp. 526–531, 2012, doi: 10.1109/AISP.2012.6313803.
  • [14] S. Davtalab, B. Tousi, and D. Nazarpour, “Optimized Intelligent Coordinator for Load Frequency Control in a Two-Area System with PV Plant and Thermal Generator,” IETE J Res, vol. 68, no. 5, pp. 3876–3886, Sep. 2022, doi: 10.1080/03772063.2020.1782777.
  • [15] S. M. Abd-Elazim and E. S. Ali, “Load frequency controller design of a two-area system composing of PV grid and thermal generator via firefly algorithm,” Neural Comput Appl, vol. 30, no. 2, pp. 607–616, Jul. 2018, doi: 10.1007/S00521-016-2668-Y/FIGURES/13.
  • [16] E. Çelik and M. Karayel, “Effective speed control of brushless DC motor using cascade 1PDf-PI controller tuned by snake optimizer,” Neural Comput Appl, vol. 36, no. 13, pp. 7439–7454, May 2024, doi: 10.1007/S00521-024-09470-Y/FIGURES/11.
  • [17] H. Salimi, “Stochastic Fractal Search: A powerful metaheuristic algorithm,” Knowl Based Syst, vol. 75, pp. 1–18, Feb. 2015, doi: 10.1016/J.KNOSYS.2014.07.025.
  • [18] E. Çelik, “Incorporation of stochastic fractal search algorithm into efficient design of PID controller for an automatic voltage regulator system,” Neural Comput Appl, vol. 30, no. 6, pp. 1991–2002, Sep. 2018, doi: 10.1007/S00521-017-3335-7/TABLES/5.
  • [19] E. Çelik, “Improved stochastic fractal search algorithm and modified cost function for automatic generation control of interconnected electric power systems,” Eng Appl Artif Intell, vol. 88, p. 103407, Feb. 2020, doi: 10.1016/J.ENGAPPAI.2019.103407.
  • [20] A. K. Barisal, “Comparative performance analysis of teaching learning based optimization for automatic load frequency control of multi-source power systems,” International Journal of Electrical Power & Energy Systems, vol. 66, pp. 67–77, Mar. 2015, doi: 10.1016/J.IJEPES.2014.10.019.
  • [21] E. Çelik, N. Öztürk, Y. Arya, and C. Ocak, “(1+PD)-PID cascade controller design for performance betterment of load frequency control in diverse electric power systems”, Neural Computing and Applications, vol.33, pp. 15433−15456, 2021

Frequency Regulation with 1PDF-PI controller for Load-Frequency Control of two area Thermal Power System and Photovoltaic Power System

Year 2024, Volume: 12 Issue: 3, 498 - 510, 30.09.2024
https://doi.org/10.29109/gujsc.1488286

Abstract

Energy consumption is increasing day by day due to the rapidly increasing population and industrialization in the world. In order to meet the increasing energy need, it becomes necessary to connect different energy production to interconnected power systems. Some of the most important effects on the distribution of energy produced by power systems and their efficiency are frequency. In interconnected systems, load changes occurring in any area cause changes in frequency and power values in other areas connected to the system. In this paper, a proportional derivative (1PDF)-proportional integral (PI) controller with a cascaded filter is introduced for load frequency control (LFC) in power systems. Stochastic fractal search (SFA) algorithm was used to find the optimum values of the 1PDF-PI controller parameters (K_p1, K_d, F, K_p2, K_i). The performance index of the controller parameters, both the frequency deviations of the fields and the connecting line power deviations, is optimally defined by the integral of the absolute error multiplied by time (ITAE), without the need for expert knowledge. In order to keep the power system contribution of the SFA-based 1PDF-PI controller operational, it is compared with studies with similar structures in the literature. The results obtained showed a significant improvement in the system performance of the proposed method in terms of frequency, oscillation on the connection line, settling time and ITAE values.

References

  • [1] S. Davtalab, B. Tousi, and D. Nazarpour, “Optimized Intelligent Coordinator for Load Frequency Control in a Two-Area System with PV Plant and Thermal Generator,” IETE J Res, vol. 68, no. 5, pp. 3876–3886, Sep. 2022, doi: 10.1080/03772063.2020.1782777.
  • [2] N. Hakimuddin, I. Nasiruddin, T. S. Bhatti, and Y. Arya, “Optimal Automatic Generation Control with Hydro, Thermal, Gas, and Wind Power Plants in 2-Area Interconnected Power System,” Electric Power Components and Systems, vol. 48, no. 6–7, pp. 558–571, Aug. 2020, doi: 10.1080/15325008.2020.1793829.
  • [3] E. Çelik, “Termik Güç Santrali ve Fotovoltaik Güneş Enerji Sisteminden Oluşan Güç Sisteminde Üstel PI Denetleyici ile Sekonder Frekans Regülasyonu,” Mühendislik Bilimleri ve Araştırmaları Dergisi, vol. 6, no. 1, pp. 133–142, Apr. 2024, doi: 10.46387/BJESR.1456068.
  • [4] S. Golshannavaz, R. Khezri, M. Esmaeeli, and P. Siano, “A two-stage robust-intelligent controller design for efficient LFC based on Kharitonov theorem and fuzzy logic,” J Ambient Intell Humaniz Comput, vol. 9, no. 5, pp. 1445–1454, Oct. 2018, doi: 10.1007/S12652-017-0569-2/FIGURES/15.
  • [5] F. Kalavani, M. Zamani-Gargari, B. Mohammadi-Ivatloo, and M. Rasouli, “A contemporary review of the applications of nature-inspired algorithms for optimal design of automatic generation control for multi-area power systems,” Artif Intell Rev, vol. 51, no. 2, pp. 187–218, Feb. 2019, doi: 10.1007/S10462-017-9561-7/TABLES/6.
  • [6] A. Oshnoei, R. Khezri, S. M. Muyeen, and F. Blaabjerg, “On the Contribution of Wind Farms in Automatic Generation Control: Review and New Control Approach,” Applied Sciences 2018, Vol. 8, Page 1848, vol. 8, no. 10, p. 1848, Oct. 2018, doi: 10.3390/APP8101848.
  • [7] R. Khezri, A. Oshnoei, M. T. Hagh, and S. M. Muyeen, “Coordination of Heat Pumps, Electric Vehicles and AGC for Efficient LFC in a Smart Hybrid Power System via SCA-Based Optimized FOPID Controllers,” Energies 2018, Vol. 11, Page 420, vol. 11, no. 2, p. 420, Feb. 2018, doi: 10.3390/EN11020420.
  • [8] E. Çelik and A. Dalcalı, “Performance betterment of load frequency regulation using snake search algorithm for an interconected power system incorporating thermal plant and pv power station,” 5th International Antalya Scientific Research and Innovative Studies Congress, pp. 610–621, Jul. 2023.
  • [9] S. M. Abd-Elazim and E. S. Ali, “Load frequency controller design of a two-area system composing of PV grid and thermal generator via firefly algorithm,” Neural Comput Appl, vol. 30, no. 2, pp. 607–616, Jul. 2018, doi: 10.1007/S00521-016-2668-Y/FIGURES/13.
  • [10] M. Sharma, R. K. Bansal, S. Prakash, and S. Asefi, “MVO Algorithm Based LFC Design of a Six-Area Hybrid Diverse Power System Integrating IPFC and RFB,” IETE J Res, vol. 67, no. 3, pp. 394–407, 2021, doi: 10.1080/03772063.2018.1548908.
  • [11] Z. Y. Yilmaz, G. Bal, E. Çelik, N. Öztörk, U. Gövenç, and Y. Arya, “Yük frekans kontrolünde kullanılan ikincil denetleyicilerin optimizasyonuna yönelik yeni bir hedef fonksiyonu tasarımı,” Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, vol. 36, no. 4, pp. 2053–2068, Sep. 2021, doi: 10.17341/GAZIMMFD.841751.
  • [12] E. Çelik, “Improved stochastic fractal search algorithm and modified cost function for automatic generation control of interconnected electric power systems,” Eng Appl Artif Intell, vol. 88, p. 103407, Feb. 2020, doi: 10.1016/J.ENGAPPAI.2019.103407.
  • [13] S. A. Jeddi, S. Hamidreza Abbasi, and F. Shabaninia, “Load frequency control of two area interconnected power system (Diesel Generator and Solar PV) with PI and FGSPI controller,” AISP 2012 - 16th CSI International Symposium on Artificial Intelligence and Signal Processing, pp. 526–531, 2012, doi: 10.1109/AISP.2012.6313803.
  • [14] S. Davtalab, B. Tousi, and D. Nazarpour, “Optimized Intelligent Coordinator for Load Frequency Control in a Two-Area System with PV Plant and Thermal Generator,” IETE J Res, vol. 68, no. 5, pp. 3876–3886, Sep. 2022, doi: 10.1080/03772063.2020.1782777.
  • [15] S. M. Abd-Elazim and E. S. Ali, “Load frequency controller design of a two-area system composing of PV grid and thermal generator via firefly algorithm,” Neural Comput Appl, vol. 30, no. 2, pp. 607–616, Jul. 2018, doi: 10.1007/S00521-016-2668-Y/FIGURES/13.
  • [16] E. Çelik and M. Karayel, “Effective speed control of brushless DC motor using cascade 1PDf-PI controller tuned by snake optimizer,” Neural Comput Appl, vol. 36, no. 13, pp. 7439–7454, May 2024, doi: 10.1007/S00521-024-09470-Y/FIGURES/11.
  • [17] H. Salimi, “Stochastic Fractal Search: A powerful metaheuristic algorithm,” Knowl Based Syst, vol. 75, pp. 1–18, Feb. 2015, doi: 10.1016/J.KNOSYS.2014.07.025.
  • [18] E. Çelik, “Incorporation of stochastic fractal search algorithm into efficient design of PID controller for an automatic voltage regulator system,” Neural Comput Appl, vol. 30, no. 6, pp. 1991–2002, Sep. 2018, doi: 10.1007/S00521-017-3335-7/TABLES/5.
  • [19] E. Çelik, “Improved stochastic fractal search algorithm and modified cost function for automatic generation control of interconnected electric power systems,” Eng Appl Artif Intell, vol. 88, p. 103407, Feb. 2020, doi: 10.1016/J.ENGAPPAI.2019.103407.
  • [20] A. K. Barisal, “Comparative performance analysis of teaching learning based optimization for automatic load frequency control of multi-source power systems,” International Journal of Electrical Power & Energy Systems, vol. 66, pp. 67–77, Mar. 2015, doi: 10.1016/J.IJEPES.2014.10.019.
  • [21] E. Çelik, N. Öztürk, Y. Arya, and C. Ocak, “(1+PD)-PID cascade controller design for performance betterment of load frequency control in diverse electric power systems”, Neural Computing and Applications, vol.33, pp. 15433−15456, 2021
There are 21 citations in total.

Details

Primary Language Turkish
Subjects Electrical Energy Transmission, Networks and Systems, Photovoltaic Power Systems, Thermal Power Systems
Journal Section Tasarım ve Teknoloji
Authors

Mehmet Karayel 0000-0001-7155-8288

Emre Çelik 0000-0002-2961-0035

Early Pub Date August 20, 2024
Publication Date September 30, 2024
Submission Date May 22, 2024
Acceptance Date June 2, 2024
Published in Issue Year 2024 Volume: 12 Issue: 3

Cite

APA Karayel, M., & Çelik, E. (2024). İki Bölgeli Termik Güç Sistemi ve Fotovoltaik Güç Sisteminin Yük-Frekans Denetimi İçin 1PDF-PI denetleyici ile Frekans Regülasyonu. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım Ve Teknoloji, 12(3), 498-510. https://doi.org/10.29109/gujsc.1488286

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