Transmission Expansion Planning Using Meta-Heuristic Approach

(*) Corresponding author

Authors' affiliations

DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)


The transmission expansion planning methods were initially focused only on the least cost parameter. In last few years, due to the availability of the fast and accurate software tools, the transmission expansion planning has experienced a quality improvement. Many optimization algorithms with the greater level of uncertainty have been introduced. This paper is mainly focused on the meta-heuristic optimization methods for transmission expansion planning. It discusses the design and implementation issues of Leap Frog optimization method in transmission expansion planning while using the modified method to be used effectively for common electrical transmission constraints. The presented paper also discusses the working methodology and empirical results of Leap Frog method for quick convergence.
Copyright © 2013 Praise Worthy Prize - All rights reserved.


Transmission Expansion Planning Problem; Meta-Heuristic Approach; Frog Leap Algorithm

Full Text:



C. W. Lee, S. K. K. Ng, J. Zhong, F. F. Wu, “Transmission Expansion Planning From Past to Future“, in Proceedings of the IEEE 2006 Power Systems Conference and Exposition, Atlanta, pp. 257 – 265.

L. L. Garver, “Transmission network estimation using linear programming,” IEEE Trans. Power App. Syst , vol. PAS-89, no. 7, pp.1688–1697, Sep./Oct. 1970.

Z. M. Al-Hamouz and A. S. Al-Faraj, “Transmission expansion planning using nonlinear programming,” in Proc. 2002 IEEE Power Eng. Soc. Transmission and Distribution Conf., vol. 1, pp. 50-55.

R. Romero and A. Monticelli, “A hierarchical decomposition approach for transmission network expansion planning,” IEEE Trans. Power Syst. , vol. 9, no. 1, pp. 373 –380, Feb. 1994.

N. Alguacil, A. L. Motto, and A. J. Conejo, “Transmission expansion planning: A mixed-integer LP approach, ” IEEE Trans. Power Syst. , vol. 18, no. 3, pp. 1070 –1076, Aug. 2003.

H.M.D.R.H. Samarakoon, R.M. Shrestha,O. Fujiwara, "A mixed integer linear programming model for transmission expansion planning with generation location selection", Electrical Power and Energy Systems 23 (2001) 285-293

S. Binato, M. V. F. Pereira, and S. Granville, “A new Benders decomposition approach to solve power transmission network design problems,” IEEE Trans. Power Syst. , vol. 16, no. 2, pp. 235 –240, May 2001.

Y. P. Dusonchet and A. H. El-Abiad, “Transmission planning using discrete dynamic optimization, ” IEEE Trans. Power App. Syst. , vol. PAS-92, no. 2, pp. 1358 –1371, Apr. 1973.

Mitra Mirhosseini and Aliakbar Gharaveisi, “Transmission Network Expansion Planning with a Heuristic Approach”, International Journal of Electronics Engineering, 2 (2), pp. 235 – 237, 2010

M. O. Buygi, M. Shahidehpour, H. M. Shanechi and G. Balzer, “Market based transmission expansion planning: Fuzzy risk assessment,” in Proc. 2004 IEEE Int. Conf. on Electric Utility Deregulation, Restructuring and Power Technologies, vol. 2, pp. 427-432.

S.Jaganathan, Dr.S.Palaniswami, C.Sasi Kumar, “Multi Objective Optimization for Transmission Network Expansion Planning using Modified Bacterial Foraging Technique”, International Journal of Computer Applications (0975 – 8887), Volume 9– No.3, November 2010.

N. Leeprechanon, P. Limsakul and S. Pothiya, “Optimal Transmission Expansion Planning Using Ant Colony Optimization”, Journal of Sustainable Energy & Environment 1 (2010) 71-76.

H. Shayeghi, M. Mahdavi, H. Haddadian, “DCGA Based-Transmission Network Expansion Planning Considering Network Adequacy”, International Journal of Information and Communication Engineering, 2008.

Tawfiq Al-Saba, Ibrahim El-Amin, “The application of artificial intelligent tools to the transmission expansion problem”, Electric Power Systems Research 62 (2002) 117/126.

J. M. Zolezzi and H. Rudnick, “Transmission cost allocation by cooperative games and coalition formation,” IEEE Trans. Power Syst. , vol. 17, no. 4, pp. 1008 –1015, Nov. 2002.

J. Contreras and F. F. Wu, “Coalition formation in transmission expansion planning, ” IEEE Trans. Power Syst. , vol. 14, no. 3, pp. 1144 –1152, Aug. 1999.

MM. Eusuf, KE. Lansey, “Optimization of water distribution network design using the shuffled frog leaping algorithm”. J Water Resource Plan Manage, Vol 129(3), 2003, pp. 210–225.

Emad Elbeltagi, Tarek Hegazy, Donald Grierson, “Comparison among five evolutionary-based optimization algorithms”, Advanced Engineering Informatics 19 (2005) 43–53.

Hossein Seifi. "Electrical Power system planning: Issues, Algorithms and solutions”, Springer , 2011.

Ying Niu. "An improved shuffled frog leaping algorithm with cognitive behavior", 2008 7th World Congress on Intelligent Control and Automation, 06/2008.

S. Y. Liong, Md. Atiquzzaman, “Optimal design of water distribution network using shuffled complex evolution”. J Inst Eng, Singapore, Vol 44(1), 2004, pp. 93–107.

E. Afzalan, M. A. Taghikhani, M. Sedighizadeh, “Optimal Placement and Sizing of DG in Radial Distribution Networks Using SFLA”, International Journal of Energy Engineering 2012, 2(3): 73-77.

Emad Elbeltagi. "A modified shuffled frog-leaping optimization algorithm: applications to project management", Structure & Infrastructure Engineering Maintenance Management Life-Cycle Design & Performance, 3/1/2007.

S.Jaganathan, Dr.S.Palaniswami, C.Sasi Kumar R.Muthu Kumaran, “Multi Objective Optimization for Transmission Network Expansion Planning using Modified Bacterial Foraging Technique”, International Journal of Computer Applications (0975 – 8887) Volume 9– No.3, November 2010.

SebastiÁn de la Torre. "Transmission Expansion Planning in Electricity Markets", IEEE Transactions on Power Systems, 02/2008.

Xia Sun. "An SFL-Based Multicast Routing Optimization Algorithm", 2009 International Workshop on Intelligent Systems and Applications, 05/2009.

Jalilzadeh, . "A GA Based Transmission Network Expansion Planning Considering Voltage Level, Network Losses and Number of Bundle Lines", American Journal of Applied Sciences, 2009.

Gomez-Gonzalez, M., and F. Jurado, "Personalized e-learning using shuffled frog-leaping algorithm", Proceedings of the 2012 IEEE Global Engineering Education Conference (EDUCON), 2012.

Mahdavi, M., "DCGA based evaluating role of bundle lines in TNEP considering expansion of substations from voltage level point of view", Energy Conversion and Management, 2009.

Thai-Hoang Huynh. "A modified shuffled frog leaping algorithm for optimal tuning of multivariable PID controllers", 2008 IEEE International Conference on Industrial Technology, 04/2008.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2024 Praise Worthy Prize