Yıl 2018, Cilt 6, Sayı 2, Sayfalar 1 - 10 2018-08-03

A Novel Economic Power Flow Solution in Practical Multi-terminal AC-DC Systems using Genetic Algorithm

Faruk YALÇIN [1] , Uğur ARİFOĞLU [2]

104 108

This paper presents a novel approach for economic power flow in multi-terminal AC-DC systems. Unlike the similar AC-DC power flow studies, real equivalent circuit for the under load tap changer transformers (ULTCs) of the DC converters are considered in the AC-DC power flow algorithm. So the study provides real accurate results for practical AC-DC applications. Economic power flow solution for minimum generation cost is provided by Genetic Algorithm (GA). The proposed approach is tested on the modified IEEE 14-bus AC-DC test system. The results show that the proposed approach is efficient to reach the global optimum point of minimum generation cost without getting stuck to local minima while satisfying system constraints.
economic power flow, AC-DC, multi-terminal, ULTC, genetic algorithm
  • 1. Y.N.V. Kumar, S. Sivanagaraju and V.C. Suresh, “Security constrained economic load dispatch in the presence of interline power flow controller using modified BAT algorithm”, Ain Shams Engineering Journal, vol. 7, no. 4, pp. 1029-1043, December 2015.
  • 2. Y.A. Mobarak, “Modified load flow analysis for integrated ac/dc power systems”, in Proceeding of 12th Int. Middle East Power Syst. Conf. MEPCON, Aswan, Egypt, (2008).
  • 3. J.R. De Silva and C.P. Arnold, “A simple improvement to sequential ac/dc power flow algorithms”, International Journal of Electrical Power & Energy Systems, vol. 12, no. 3, pp. 219-221, July 1990.
  • 4. U. Arifoglu, “Load flow based on newton's method using norton equivalent circuit for ac-dc multiterminal systems”, European Transactions on Electrical Power, vol. 9, no. 3, pp. 167-174, May-June 1999.
  • 5. D. Thukaram and G. Yesuratnam, “Optimal reactive power dispatch in a large power system with ac-dc and FACTs controllers”, IET Generation Transmission & Distribution, vol. 2, no. 1, pp. 71-81, January 2008.
  • 6. D. Thukaram, G. Yesuratnam, and C. Vyjayanthi, “Optimal reactive power dispatch based on voltage stability criteria in a large power system with ac/dc and FACTs devices”, in Proceeding of IEEE Int. Conf. Power Electro. Drives Energy Syst. PEDES, New Delhi, India, (2006).
  • 7. J. Yu, W. Yan, W. Li and L. Wen, “Quadratic models of ac-dc power flow and optimal reactive power flow with HVDC and UPFC controls”, Electric Power Systems Research, vol. 78, no. 3, pp. 302-310, March 2008.
  • 8. J. Yu, W. Yan, W. Li, C.Y. Chung and K.P. Wong, “An unfixed piecewise-optimal reactive power-flow model and its algorithm for ac-dc systems”, IEEE Transactions on Power Systems, vol. 23, no. 1, pp. 170-176, February 2008.
  • 9. U. De Martinis, F. Gagliardi, A. Losi, V. Mangoni and F. Rossi, “Optimal load flow for electrical power systems with multiterminal HVDC links”, IEE Proceedings Generation Transmission and Distribution, vol. 137, no. 2, pp. 139-145, March 1990.
  • 10. C.N. Lu, S.S. Chen and C.M. Ong, “The incorporation of HVDC equations in optimal power flow methods using sequential quadratic programming techniques”, IEEE Transactions on Power Systems, vol. 3, no. 3, pp. 1005-1011, August 1988.
  • 11. H. Ambriz-Perez, E. Acha and C.R. Fuerte-Esquivel, “High voltage direct current modelling in optimal power flows”, International Journal of Electrical Power & Energy Systems, vol. 30, no. 3, pp. 157-168, March 2008.
  • 12. U. Arifoglu and N. Tarkan, “New sequential ac-dc load-flow approach utilizing optimization techniques”, European Transactions on Electrical Power, vol. 9, no. 2, pp. 93-100, March-April 1999.
  • 13. K. Ayan and U. Kilic, “Artificial bee colony algorithm solution for optimal reactive power flow”, Applied Soft Computing, vol. 12, no. 5, pp. 1477-1482, May 2012.
  • 14. J. Huo, L. Liu and Y. Zhang, “An improved multi-cores parallel artificial Bee colony optimization algorithm for parameters calibration of hydrological model”, Future Generation Computer Systems-The International Journal of eScience, vol. 81, pp. 492-504, April 2018.
  • 15. L. Wang and L. Li, “A coevolutionary differential evolution with harmony search for reliability-redundancy optimization”, Expert Systems with Applications, vol. 39, no. 5, pp. 5271-5278, April 2012.
  • 16. M. Gomez-Gonzalez, A. Lopez and F. Jurado, “Optimization of distributed generation systems using a new discrete PSO and OPF”, Electric Power Systems Research, vol. 84, no. 1, pp. 174-180, March 2012.
  • 17. O.P. Verma, P. Kumar, M. Hanmandlu and S. Chhabra, “High dynamic range optimal fuzzy color image enhancement using artificial ant colony system”, Applied Soft Computing, vol. 12, no. 1, pp. 394-404, January 2012.
  • 18. U. Guvenc, B.E. Altun and S. Duman, “Optimal power flow using genetic algorithm based on similarity”, Energy Education Science and Technology Part A: Energy Science and Research, vol. 29, no. 1, pp. 1-10, April 2012.
  • 19. M.S. Kumari and S. Maheswarapu, “Enhanced genetic algorithm based computation technique for multi-objective optimal power flow solution”, International Journal of Electrical Power & Energy Systems, vol. 32, no. 6, pp. 736-742, July 2010.
  • 20. F. Yalcin and U. Arifoglu, “Inserting the tap values of the tap changer transformers into the Jacobian matrix as control variables”, Sakarya University Journal of Science, vol. 17, no. 3, pp. 337-348, December 2013.
  • 21. J.H. Holland, Adaptation in Natural and Artificial Systems, Michigan: University of Michigan Press, 1975.
  • 22. MATLAB Optimization Toolbox 5 User’s Guide (2012) The Math Works, Inc.
  • 23. Ugur Arifoglu, “Optimal power flow using sequential power flow approach for an ac-dc power system”, Ph. D. thesis, Istanbul Technical University, Istanbul, 1993.
Birincil Dil en
Konular Mühendislik ve Temel Bilimler
Yayımlanma Tarihi Mayıs
Dergi Bölümü Makaleler
Yazarlar

Orcid: 0000-0003-2672-216X
Yazar: Faruk YALÇIN (Sorumlu Yazar)
Kurum: Sakarya University, Faculty of Technology, Department of Mechatronics Engineering

Orcid: 0000-0001-8082-5448
Yazar: Uğur ARİFOĞLU
Kurum: Sakarya University, Faculty of Technology, Department of Mechatronics Engineering
Ülke: Turkey


Bibtex @araştırma makalesi { apjes414456, journal = {Akademik Platform Mühendislik ve Fen Bilimleri Dergisi}, issn = {}, eissn = {2147-4575}, address = {Akademik Platform}, year = {2018}, volume = {6}, pages = {1 - 10}, doi = {10.21541/apjes.414456}, title = {A Novel Economic Power Flow Solution in Practical Multi-terminal AC-DC Systems using Genetic Algorithm}, key = {cite}, author = {ARİFOĞLU, Uğur and YALÇIN, Faruk} }
APA YALÇIN, F , ARİFOĞLU, U . (2018). A Novel Economic Power Flow Solution in Practical Multi-terminal AC-DC Systems using Genetic Algorithm. Akademik Platform Mühendislik ve Fen Bilimleri Dergisi, 6 (2), 1-10. DOI: 10.21541/apjes.414456
MLA YALÇIN, F , ARİFOĞLU, U . "A Novel Economic Power Flow Solution in Practical Multi-terminal AC-DC Systems using Genetic Algorithm". Akademik Platform Mühendislik ve Fen Bilimleri Dergisi 6 (2018): 1-10 <http://dergipark.gov.tr/apjes/issue/38735/414456>
Chicago YALÇIN, F , ARİFOĞLU, U . "A Novel Economic Power Flow Solution in Practical Multi-terminal AC-DC Systems using Genetic Algorithm". Akademik Platform Mühendislik ve Fen Bilimleri Dergisi 6 (2018): 1-10
RIS TY - JOUR T1 - A Novel Economic Power Flow Solution in Practical Multi-terminal AC-DC Systems using Genetic Algorithm AU - Faruk YALÇIN , Uğur ARİFOĞLU Y1 - 2018 PY - 2018 N1 - doi: 10.21541/apjes.414456 DO - 10.21541/apjes.414456 T2 - Akademik Platform Mühendislik ve Fen Bilimleri Dergisi JF - Journal JO - JOR SP - 1 EP - 10 VL - 6 IS - 2 SN - -2147-4575 M3 - doi: 10.21541/apjes.414456 UR - http://dx.doi.org/10.21541/apjes.414456 Y2 - 2018 ER -
EndNote %0 Akademik Platform Mühendislik ve Fen Bilimleri Dergisi A Novel Economic Power Flow Solution in Practical Multi-terminal AC-DC Systems using Genetic Algorithm %A Faruk YALÇIN , Uğur ARİFOĞLU %T A Novel Economic Power Flow Solution in Practical Multi-terminal AC-DC Systems using Genetic Algorithm %D 2018 %J Akademik Platform Mühendislik ve Fen Bilimleri Dergisi %P -2147-4575 %V 6 %N 2 %R doi: 10.21541/apjes.414456 %U 10.21541/apjes.414456
ISNAD YALÇIN, Faruk , ARİFOĞLU, Uğur . "A Novel Economic Power Flow Solution in Practical Multi-terminal AC-DC Systems using Genetic Algorithm". Akademik Platform Mühendislik ve Fen Bilimleri Dergisi 6 / 2 (Ağustos 2018): 1-10. http://dx.doi.org/10.21541/apjes.414456