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GENETİK ALGORİTMA KULLANILARAK GÜÇ SİSTEMLERİNDE OPTİMAL ÇALIŞMA ŞARTLARININ BELİRLENMESİ

Yıl 2009, Cilt: 24 Sayı: 3, 0 - , 14.02.2013

Ali Öztürk Serhat Duman

Öz

Bu çalışmada optimizasyon yöntemlerinden biri olan Genetik Algoritma (GA) ile elektrik güç sistemlerinde
optimum çalışma koşulları belirlenmiştir. Çalışmanın ana hedefi iletim hatlarında meydana gelen aktif güç
kayıplarının minimum olmasını sağlayacak yük baralarının gerilim genlik değerlerinin belirlenmesidir. Örnek
olarak 5 baralı bir sistem ele alınmış ve bu sistem üzerinde hem GA hem de Newton-Raphson (NR) güç akışı
yöntemi kullanılarak yük baralarının çalışma gerilim değerleri belirlenmiştir. Bu değerler kullanılarak Statik
VAR Kompanzatör (SVC) ile reaktif güç kompanzasyonu yapılmıştır. Elde edilen sonuçlar, GA ile çalışma
koşullarının belirlenmesi durumunda aktif güç kayıpları minimize edileceğinden ciddi oranda ekonomik kazanç
ve enerji tasarrufu sağlanacağını ortaya koymaktadır.

Anahtar Kelimeler

Genetik algoritma güç sistemleri reaktif güç optimizasyonu newton-raphson statik var kompanzatör.

Kaynakça

  • Zhang, W. and Liu, Y., “Reactive Power
  • Optimization Based on PSO in a Partical Power
  • System”, Power Engineering Society General
  • Meeting, 2004 IEEE., Vol. 1, 239-243,6-10 June
  • -
  • Hazra, J. and Sinha, A.K., “A Study on Real and
  • Reactive Power Optimization using Particle
  • Swarm Optimization”, International
  • Conference on Industrial and Information
  • Systems, 323-328, 9-11 August 2007.
  • Zhang, W. and Liu, Y., “Fuzzy Logic Controlled
  • Particle Swarm For Reactive Power Optimization
  • Considering Voltage Stability”, Power
  • Engineering Conference, 1-5, 29 Nov. - 2 Dec.
  • -
  • Sheng, S. and Li, J., “Study of Reactive Power
  • Optimization Based on Artificial Immune Ant
  • Colony Algorithm”, Third International
  • Electric Utility Deregulation and
  • Restructuring and Power Technologies, 2311-
  • , 6-9 April 2008.
  • Lu, Z. and Ma, L., “Power System Reactive
  • Power Optimization Based on Direct Neural
  • Dynamic Programming”, 3rd International
  • Conference on Intelligent System and
  • Knowledge Engineering, 862-866, 17-19 Nov.
  • -
  • Lirui, G., Limin, H., Liguo, Z., Weina, L. and Jie,
  • H., “Reactive Power Optimization for
  • Distribution Systems Based on Dual Population
  • Ant Colony Optimization”, Control Conference,
  • -93, 16-18 July 2008.
  • Grudinin, N., “Reactive Power Optimization
  • Using Successive Quadratic Programming
  • Method”, Power Systems, Vol. 13, Issue 4,
  • -1225, Nov. 1998.
  • Wei, H., Cong, Z., Jingyan, Y., Jianhua, Z., Zifa, L.,
  • Zhilian, W. and Dongli, P., “Using Bacterial
  • Chemotaxis Method for Reactive Power
  • Optimization”, Transmission and Distribution
  • Conference and Exposition, 1-7, 21-24 April
  • -
  • Li, Z., Shi, J. and Liu, Y., “Distributed Reactive
  • Power Optimization and Programming for Area
  • Power System”, International Conference on
  • Power System Technology, Vol. 2, 1447-1450,
  • -24 Nov. 2004.
  • Zhang, X., Chen, W., Dai. C. and Guo, A., “Selfadaptive
  • Differential Evolution for Reactive
  • Power Optimization”, Fourth International
  • Conference on Natural Computation, Vol. 6,
  • -564, 18-20 Oct. 2008.
  • Li, D., Gao, L., Zhang, J. and Li, Y., “Power
  • System Reactive Power Optimization Based on
  • Adaptive Particle Swarm Optimization
  • Algorithm”, The Sixth World Congress on
  • Intelligent Control and Automation, Vol. 2,
  • -7576, 2006.
  • Wan, Z.P., Fan, H., Wang, S.F. and Wang, G.M.,
  • “A Bilevel Programming Model for the Reactive
  • Power Optimization”, The 7th International
  • Power Engineering Conference, 1-24, 29 Nov-
  • Dec. 2005.
  • Wang, C., Cheng, H.Z. and Yao L.Z., “Reactive
  • Power Optimization by Plant Growth Simulation Algorithm”, Third International
  • Electric Utility Deregulation and
  • Restructuring and Power Technologies, 771-
  • , 6-9 April 2008.
  • Su-hua, L., Yao-wu, W., Xin-yin, X. and Guangyu
  • T., “A Parallel PSO Approach to Multi-
  • Objective Reactive Power Optimization with
  • Static Voltage Stability Consideration”,
  • Transmission and Distribution Conference
  • and Exhibition, 172-176, 21-24 May. 2006.
  • Zhao, B., Jiang, Q., Guo, C. and Cao, Y., “A
  • Novel Particle Swarm Optimization Approach for
  • Optimal Reactive Power Dispatch”, 15th PSCC,
  • Liege, 22-26 August 2005.
  • Younes, M., Rahli, M. and Koridak, A.L.,
  • “Economic Power Dispatch Using Evolutionary
  • Algorithm”, Journal of Electrical Engineering,
  • Vol. 57, 211-217, 2006.
  • Jahromi, A. N., Afsharnia, S. and Farmad, M., “A
  • Novel Approach to Real-Time Reactive Power
  • Dispatch”,http://www.itee.uq.edu.au/~aupec/aupe
  • c02/Final-Papers/A-Naderian3.pdf
  • El-Samahy, I., Canizares, C. A., Bhattacharya, K.
  • and Pan, J., “ An Optimal Reactive Power
  • Dispatch Model for Deregulated Electicity
  • Markets”, Power Engineering Society General
  • Meeting, IEEE Volume, 1-7, 24-28 June 2007.
  • Abdullah, W. N. W., Saibon, H., Zain, A. A. M. and
  • Lo, K. L., “Genetic Algorithm For Optimal Reactive
  • Power Dispatch”, Energy Management and Power
  • Delivery, Vol. 1, 160-164, 3-5 March 1998.
  • Canizares, A. C. and Faur, T. Z., “Alalysis of
  • SVC and TCSC Controllers in Voltage
  • Collapse”, IEEE Trans. Power Systems, Vol.
  • , No. 1, pp. 158-165, February 1999.
  • Glanzmann, G., “Flexible Alternating Current
  • Transmission Systems”, EEH-Power Systems
  • Laboratory ETH, Zürich, 2005.
  • Mathur, M. R. and Varma, K. R., “Thyristor-
  • Based FACTS Controllers for Electrical
  • Transmission Systems”, IEEE Press Series on
  • Power Engineering, 2002.
  • Eminoğlu, U.,“FACTS Elemanları Kullanılan
  • Güç Akış Sistemlerinin İncelenmesi”, Yüksek
  • Lisans Tezi, Niğde Üniversitesi, Fen Bilimleri
  • Üniversitesi, 2003.
  • Eminoğlu, U., Ayasun, S. ve Yalçınöz, T., “
  • Application of SVC on Dynamic Load For
  • Different Load Types”, The 39th International
  • Universities Power Engineering Conference,
  • Vol.1, 251-255, September 2004.
  • Eminoğlu, U., Yalçınöz, T. ve Herdem, S.,
  • “Analysis of FACTS Devices for Dynamic Loads
  • Using Maltab”, The 38th International
  • Universities Power Engineering Conference,
  • Vol. 2, 377-380, 1-3 September 2003.
  • Arifoğlu, U., “Güç Sistemlerinin Bilgisayar
  • Destekli Analizi”, Alfa Basım Yayım Dağıtım
  • Ltd Şti., İstanbul, 2002.
  • Powel, L., “Power System Load Flow
  • Analysis”, Professional Engineering Book from
  • C.H.I.P.S., 2005.
  • Mazumder, P. and Runick, E.M., “Genetic
  • Algorithm For VLSI Design Layout Test
  • Otomation”, Prentice Hall PTR, 1999.
  • Goldberg, D. E., “Genetic Algorithms in Search
  • Optimization and Machine Learning”,
  • Addison –Wesley Longman, 1989.
  • Mitchell, M., “An Introduction to Genetic
  • Algorithms”, MIT Press, Cambridge, MA.,
  • -
  • Zhang, G. and Lu, G., “Hybrid Real-Coded
  • Genetic Algorithm with Quasi-Simplex
  • Technique”, International Journal of
  • Computer Science and Network Security, Vol.
  • No.10, 246-255, October 2006.
  • Michalewicz, Z., “Genetic Algorithms + Data
  • Structure = Evolution Programs”, A.B.D.,
  • Springer & Verlag., 1992.
  • Ibrahiem M.M. El-Emary and Mona M. Abd El-
  • Kareem, “On the Application of Genetic Algorithms
  • in Finger Prints Registration”, World Applied
  • Sciences Journal, Vol. 5 (3), 276-281, 2008.
  • Gargano, M.L. and Edelson, W., “A Genetic
  • Algorithm Approach To Solving The
  • Archaeological Seraition Problem”, Congressus
  • Numerantium 119, 1996.
  • Shaneen, H., Ma, J. and Cheng, S., “Genetic
  • Algorithm Based Short-Therm Scdeduling of
  • Reactive Power Controller”, Istanbul University
  • Journal of Electrical & Electronics
  • Engineering, Vol. 5, 1299-1307, 2005.
  • Saruhan, H., “Genetic Algorithms:An
  • Optimization Technique”, Technology, Vol. 7,
  • -114, 2004.
  • Öztürk, A., “Güç Sistemlerinde Gerilim
  • Karalılığının Genetik Algoritma İle
  • İncelenmesi”, Doktora Tezi, Sakarya
  • Üniversitesi, Fen Bilimleri Enstitüsü, 2007.
  • Elmas, Ç., “Yapay Zeka Uygulamaları”, Seçkin
  • Yayıncılık San. ve Tic. A.Ş., Ankara, sayfa. 388-
  • , 2007.
  • Zeyveli, M., “ Genetik Algoritma ve Mekanik
  • Tasarım Problemleri Uygulamaları”, Makine
  • Teknolojileri Elektronik Dergisi, sayfa. 1-13,
  • -
  • Cao, Y.J., Wu, Q.H., “Optimal Reactive Power
  • Dispatch Using An Adaptive Genetic
  • Algorithm”, Genetic Algorithms in
  • Engineering Systems:Innovations and
  • Applicatons, Conference Publications No.446, 2-
  • September 1997.
  • Song, H. Y., Johns T. A., “ Flexible AC
  • Transmission Systems (FACTS)”, The
  • Institution of Electrical Engineers, London, 1999.
  • Özaslan, Ş., “ Statik Var Sistemleri İle Reaktif
  • Güç Kompanzasyonu”, Yüksek Lisans Tezi,
  • Kocaeli Üniversitesi, Fen Bilimleri Enstitüsü,
  • -

Yıl 2009, Cilt: 24 Sayı: 3, 0 - , 14.02.2013

Ali Öztürk Serhat Duman

Öz

Kaynakça

  • Zhang, W. and Liu, Y., “Reactive Power
  • Optimization Based on PSO in a Partical Power
  • System”, Power Engineering Society General
  • Meeting, 2004 IEEE., Vol. 1, 239-243,6-10 June
  • -
  • Hazra, J. and Sinha, A.K., “A Study on Real and
  • Reactive Power Optimization using Particle
  • Swarm Optimization”, International
  • Conference on Industrial and Information
  • Systems, 323-328, 9-11 August 2007.
  • Zhang, W. and Liu, Y., “Fuzzy Logic Controlled
  • Particle Swarm For Reactive Power Optimization
  • Considering Voltage Stability”, Power
  • Engineering Conference, 1-5, 29 Nov. - 2 Dec.
  • -
  • Sheng, S. and Li, J., “Study of Reactive Power
  • Optimization Based on Artificial Immune Ant
  • Colony Algorithm”, Third International
  • Electric Utility Deregulation and
  • Restructuring and Power Technologies, 2311-
  • , 6-9 April 2008.
  • Lu, Z. and Ma, L., “Power System Reactive
  • Power Optimization Based on Direct Neural
  • Dynamic Programming”, 3rd International
  • Conference on Intelligent System and
  • Knowledge Engineering, 862-866, 17-19 Nov.
  • -
  • Lirui, G., Limin, H., Liguo, Z., Weina, L. and Jie,
  • H., “Reactive Power Optimization for
  • Distribution Systems Based on Dual Population
  • Ant Colony Optimization”, Control Conference,
  • -93, 16-18 July 2008.
  • Grudinin, N., “Reactive Power Optimization
  • Using Successive Quadratic Programming
  • Method”, Power Systems, Vol. 13, Issue 4,
  • -1225, Nov. 1998.
  • Wei, H., Cong, Z., Jingyan, Y., Jianhua, Z., Zifa, L.,
  • Zhilian, W. and Dongli, P., “Using Bacterial
  • Chemotaxis Method for Reactive Power
  • Optimization”, Transmission and Distribution
  • Conference and Exposition, 1-7, 21-24 April
  • -
  • Li, Z., Shi, J. and Liu, Y., “Distributed Reactive
  • Power Optimization and Programming for Area
  • Power System”, International Conference on
  • Power System Technology, Vol. 2, 1447-1450,
  • -24 Nov. 2004.
  • Zhang, X., Chen, W., Dai. C. and Guo, A., “Selfadaptive
  • Differential Evolution for Reactive
  • Power Optimization”, Fourth International
  • Conference on Natural Computation, Vol. 6,
  • -564, 18-20 Oct. 2008.
  • Li, D., Gao, L., Zhang, J. and Li, Y., “Power
  • System Reactive Power Optimization Based on
  • Adaptive Particle Swarm Optimization
  • Algorithm”, The Sixth World Congress on
  • Intelligent Control and Automation, Vol. 2,
  • -7576, 2006.
  • Wan, Z.P., Fan, H., Wang, S.F. and Wang, G.M.,
  • “A Bilevel Programming Model for the Reactive
  • Power Optimization”, The 7th International
  • Power Engineering Conference, 1-24, 29 Nov-
  • Dec. 2005.
  • Wang, C., Cheng, H.Z. and Yao L.Z., “Reactive
  • Power Optimization by Plant Growth Simulation Algorithm”, Third International
  • Electric Utility Deregulation and
  • Restructuring and Power Technologies, 771-
  • , 6-9 April 2008.
  • Su-hua, L., Yao-wu, W., Xin-yin, X. and Guangyu
  • T., “A Parallel PSO Approach to Multi-
  • Objective Reactive Power Optimization with
  • Static Voltage Stability Consideration”,
  • Transmission and Distribution Conference
  • and Exhibition, 172-176, 21-24 May. 2006.
  • Zhao, B., Jiang, Q., Guo, C. and Cao, Y., “A
  • Novel Particle Swarm Optimization Approach for
  • Optimal Reactive Power Dispatch”, 15th PSCC,
  • Liege, 22-26 August 2005.
  • Younes, M., Rahli, M. and Koridak, A.L.,
  • “Economic Power Dispatch Using Evolutionary
  • Algorithm”, Journal of Electrical Engineering,
  • Vol. 57, 211-217, 2006.
  • Jahromi, A. N., Afsharnia, S. and Farmad, M., “A
  • Novel Approach to Real-Time Reactive Power
  • Dispatch”,http://www.itee.uq.edu.au/~aupec/aupe
  • c02/Final-Papers/A-Naderian3.pdf
  • El-Samahy, I., Canizares, C. A., Bhattacharya, K.
  • and Pan, J., “ An Optimal Reactive Power
  • Dispatch Model for Deregulated Electicity
  • Markets”, Power Engineering Society General
  • Meeting, IEEE Volume, 1-7, 24-28 June 2007.
  • Abdullah, W. N. W., Saibon, H., Zain, A. A. M. and
  • Lo, K. L., “Genetic Algorithm For Optimal Reactive
  • Power Dispatch”, Energy Management and Power
  • Delivery, Vol. 1, 160-164, 3-5 March 1998.
  • Canizares, A. C. and Faur, T. Z., “Alalysis of
  • SVC and TCSC Controllers in Voltage
  • Collapse”, IEEE Trans. Power Systems, Vol.
  • , No. 1, pp. 158-165, February 1999.
  • Glanzmann, G., “Flexible Alternating Current
  • Transmission Systems”, EEH-Power Systems
  • Laboratory ETH, Zürich, 2005.
  • Mathur, M. R. and Varma, K. R., “Thyristor-
  • Based FACTS Controllers for Electrical
  • Transmission Systems”, IEEE Press Series on
  • Power Engineering, 2002.
  • Eminoğlu, U.,“FACTS Elemanları Kullanılan
  • Güç Akış Sistemlerinin İncelenmesi”, Yüksek
  • Lisans Tezi, Niğde Üniversitesi, Fen Bilimleri
  • Üniversitesi, 2003.
  • Eminoğlu, U., Ayasun, S. ve Yalçınöz, T., “
  • Application of SVC on Dynamic Load For
  • Different Load Types”, The 39th International
  • Universities Power Engineering Conference,
  • Vol.1, 251-255, September 2004.
  • Eminoğlu, U., Yalçınöz, T. ve Herdem, S.,
  • “Analysis of FACTS Devices for Dynamic Loads
  • Using Maltab”, The 38th International
  • Universities Power Engineering Conference,
  • Vol. 2, 377-380, 1-3 September 2003.
  • Arifoğlu, U., “Güç Sistemlerinin Bilgisayar
  • Destekli Analizi”, Alfa Basım Yayım Dağıtım
  • Ltd Şti., İstanbul, 2002.
  • Powel, L., “Power System Load Flow
  • Analysis”, Professional Engineering Book from
  • C.H.I.P.S., 2005.
  • Mazumder, P. and Runick, E.M., “Genetic
  • Algorithm For VLSI Design Layout Test
  • Otomation”, Prentice Hall PTR, 1999.
  • Goldberg, D. E., “Genetic Algorithms in Search
  • Optimization and Machine Learning”,
  • Addison –Wesley Longman, 1989.
  • Mitchell, M., “An Introduction to Genetic
  • Algorithms”, MIT Press, Cambridge, MA.,
  • -
  • Zhang, G. and Lu, G., “Hybrid Real-Coded
  • Genetic Algorithm with Quasi-Simplex
  • Technique”, International Journal of
  • Computer Science and Network Security, Vol.
  • No.10, 246-255, October 2006.
  • Michalewicz, Z., “Genetic Algorithms + Data
  • Structure = Evolution Programs”, A.B.D.,
  • Springer & Verlag., 1992.
  • Ibrahiem M.M. El-Emary and Mona M. Abd El-
  • Kareem, “On the Application of Genetic Algorithms
  • in Finger Prints Registration”, World Applied
  • Sciences Journal, Vol. 5 (3), 276-281, 2008.
  • Gargano, M.L. and Edelson, W., “A Genetic
  • Algorithm Approach To Solving The
  • Archaeological Seraition Problem”, Congressus
  • Numerantium 119, 1996.
  • Shaneen, H., Ma, J. and Cheng, S., “Genetic
  • Algorithm Based Short-Therm Scdeduling of
  • Reactive Power Controller”, Istanbul University
  • Journal of Electrical & Electronics
  • Engineering, Vol. 5, 1299-1307, 2005.
  • Saruhan, H., “Genetic Algorithms:An
  • Optimization Technique”, Technology, Vol. 7,
  • -114, 2004.
  • Öztürk, A., “Güç Sistemlerinde Gerilim
  • Karalılığının Genetik Algoritma İle
  • İncelenmesi”, Doktora Tezi, Sakarya
  • Üniversitesi, Fen Bilimleri Enstitüsü, 2007.
  • Elmas, Ç., “Yapay Zeka Uygulamaları”, Seçkin
  • Yayıncılık San. ve Tic. A.Ş., Ankara, sayfa. 388-
  • , 2007.
  • Zeyveli, M., “ Genetik Algoritma ve Mekanik
  • Tasarım Problemleri Uygulamaları”, Makine
  • Teknolojileri Elektronik Dergisi, sayfa. 1-13,
  • -
  • Cao, Y.J., Wu, Q.H., “Optimal Reactive Power
  • Dispatch Using An Adaptive Genetic
  • Algorithm”, Genetic Algorithms in
  • Engineering Systems:Innovations and
  • Applicatons, Conference Publications No.446, 2-
  • September 1997.
  • Song, H. Y., Johns T. A., “ Flexible AC
  • Transmission Systems (FACTS)”, The
  • Institution of Electrical Engineers, London, 1999.
  • Özaslan, Ş., “ Statik Var Sistemleri İle Reaktif
  • Güç Kompanzasyonu”, Yüksek Lisans Tezi,
  • Kocaeli Üniversitesi, Fen Bilimleri Enstitüsü,
  • -
Toplam 183 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Ali Öztürk Bu kişi benim

Serhat Duman Bu kişi benim

Yayımlanma Tarihi 14 Şubat 2013
Gönderilme Tarihi 14 Şubat 2013
Yayımlandığı Sayı Yıl 2009 Cilt: 24 Sayı: 3

Kaynak Göster

APA Öztürk, A., & Duman, S. (2013). GENETİK ALGORİTMA KULLANILARAK GÜÇ SİSTEMLERİNDE OPTİMAL ÇALIŞMA ŞARTLARININ BELİRLENMESİ. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 24(3).
AMA Öztürk A, Duman S. GENETİK ALGORİTMA KULLANILARAK GÜÇ SİSTEMLERİNDE OPTİMAL ÇALIŞMA ŞARTLARININ BELİRLENMESİ. GUMMFD. Mart 2013;24(3).
Chicago Öztürk, Ali, ve Serhat Duman. “GENETİK ALGORİTMA KULLANILARAK GÜÇ SİSTEMLERİNDE OPTİMAL ÇALIŞMA ŞARTLARININ BELİRLENMESİ”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 24, sy. 3 (Mart 2013).
EndNote Öztürk A, Duman S (01 Mart 2013) GENETİK ALGORİTMA KULLANILARAK GÜÇ SİSTEMLERİNDE OPTİMAL ÇALIŞMA ŞARTLARININ BELİRLENMESİ. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 24 3
IEEE A. Öztürk ve S. Duman, “GENETİK ALGORİTMA KULLANILARAK GÜÇ SİSTEMLERİNDE OPTİMAL ÇALIŞMA ŞARTLARININ BELİRLENMESİ”, GUMMFD, c. 24, sy. 3, 2013.
ISNAD Öztürk, Ali - Duman, Serhat. “GENETİK ALGORİTMA KULLANILARAK GÜÇ SİSTEMLERİNDE OPTİMAL ÇALIŞMA ŞARTLARININ BELİRLENMESİ”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 24/3 (Mart 2013).
JAMA Öztürk A, Duman S. GENETİK ALGORİTMA KULLANILARAK GÜÇ SİSTEMLERİNDE OPTİMAL ÇALIŞMA ŞARTLARININ BELİRLENMESİ. GUMMFD. 2013;24.
MLA Öztürk, Ali ve Serhat Duman. “GENETİK ALGORİTMA KULLANILARAK GÜÇ SİSTEMLERİNDE OPTİMAL ÇALIŞMA ŞARTLARININ BELİRLENMESİ”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, c. 24, sy. 3, 2013.
Vancouver Öztürk A, Duman S. GENETİK ALGORİTMA KULLANILARAK GÜÇ SİSTEMLERİNDE OPTİMAL ÇALIŞMA ŞARTLARININ BELİRLENMESİ. GUMMFD. 2013;24(3).