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

Mehmet Karayel; Emre Çelik

Makale detayları

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

Yazarlar:

Mehmet Karayel | Emre Çelik

Yayıncı:

Gazi University

Ana Başlıklar:

Elektrik Enerjisi Taşıma | Şebeke ve Sistemleri | Fotovoltaik Güç Sistemleri | Termik Enerji Sistemleri

Dergi:

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji Vol.12 Issue 3, pp.498-510

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001328726

pISSN:

2147-9526

Anahtar kelimeler:

Özet:

 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.

 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.

 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.

 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.

Makale detayları

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

Yazarlar:

Mehmet Karayel | Emre Çelik

Yayıncı:

Gazi University

Ana Başlıklar:

Elektrik Enerjisi Taşıma | Şebeke ve Sistemleri | Fotovoltaik Güç Sistemleri | Termik Enerji Sistemleri

Dergi:

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji Vol.12 Issue 3, pp.498-510

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001328726

pISSN:

2147-9526

Load-Frequency Control (LFC)

1PDF-PI Controller

Reheat Thermal Power Plant

Photovoltaic Solar Energy SystemYük-Frekans Kontrolü (YFK)

1PDF-PI Denetleyici

Ara Isıtmalı Termik Güç Santrali

Fotovoltaik Güneş Enerji Sistemi

Sayı

Makale detayları

Yazarlar: Mehmet Karayel | Emre Çelik

Yayıncı: Gazi University

Ana Başlıklar: Elektrik Enerjisi Taşıma | Şebeke ve Sistemleri | Fotovoltaik Güç Sistemleri | Termik Enerji Sistemleri

Dergi: Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji Vol.12 Issue 3, pp.498-510

Belge Tipi: Makale

Yayın Tarihi: 9/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001328726

pISSN: 2147-9526

Sayı

Yazarlar:

Mehmet Karayel | Emre Çelik

Yayıncı:

Gazi University

Ana Başlıklar:

Elektrik Enerjisi Taşıma | Şebeke ve Sistemleri | Fotovoltaik Güç Sistemleri | Termik Enerji Sistemleri

Dergi:

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji Vol.12 Issue 3, pp.498-510

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001328726

pISSN:

2147-9526