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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.
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
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,
-
Tüm Kaynakçayı Göster
Daha Az Kaynakça Göster
Toplam 183 adet kaynakça vardır.
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).