A hybrid optimization method for the transmission planning considering different voltage levels
DOI:
https://doi.org/10.17533/udea.redin.12494Keywords:
codification, heuristics, voltage level, optimization, transmission planning, genetic algorithmAbstract
In this article an alternative to solve the transmission network expansion planning problem taking the voltage level as a decision variable is presented. The idea is to benefit from the scale economies which appear when a circuit changes from a preestablished tension level to a higher tension level. Predefine the tension of the new circuits is less effective than taking the tension as one of the quantities that must be defined for the process of alternative’s evaluation. It is proposed a hybrid methodology to reduce the computational effort produced by the exponential growth caused for considering different voltage levels and investment alternatives. In this work, the meta-heuristic technique specifies where should be done the transmission line investments, meanwhile the heuristic techniques and the micro-genetic algorithm specifies the investment in new and existing substations. The developed methodology presented high-quality results.
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G. Latorre, R. Cruz, J. Areiza. “Classification of publications and models on transmission expansion planning”. IEEE Transactions on Power Systems. Vol. 18. 2003. pp. 938-946. DOI: https://doi.org/10.1109/TPWRS.2003.811168
A. Escobar, R. Romero, R. Gallego. Transmission Network Expansion Planning Considering Multiple Generation Scenarios. IEEE/PES, Transmission and Distribution Conference and Exposition in Latin America. 2008. pp. 1-6. DOI: https://doi.org/10.1109/TDC-LA.2008.4641804
A. Escobar, R. Gallego, R. Romero. “Using traditional heuristic algorithms on an initial genetic algorithm population applied to the transmission expansion planning problem”. Revista Ingeniería e Investigación Universidad Nacional de Colombia. Vol. 31. 2011. pp. 127-143. DOI: https://doi.org/10.15446/ing.investig.v31n1.20534
S. Jalilzadeh, H. Shayeghi, M. Mahdavi, H. Hadadian. “A GA Based Transmission Network Expansion Planning Considering Voltage Level, Network Losses and Number of Bundle Lines”. American Journal of Applied Sciences. Vol. 6(5). 2009. pp. 970-977. DOI: https://doi.org/10.3844/ajas.2009.987.994
A. Domínguez, A. Escobar, R. Gallego. ”Propuesta de reduccion de modelo para el problema de planeamiento de la expansion de la transmission”. Revista Scientia et Technica, Universidad Tecnologica de Pereira. Nº. 49. 2011. pp. 7-13
A. Escobar, R. Romero, R. Gallego. Modelos usados en el planeamiento de la expansión a largo plazo de sistemas de transmisión de energía eléctrica. Ed. Taller de publicaciones Universidad Tecnológica de Pereira. Pereira (Colombia). 2010. pp. 22-72.
P. Chu, J. Beasley. “A genetic algorithm for the generalized assignment problem”. Computers Operations Research. Vol. 24. 1997. pp 17-23. DOI: https://doi.org/10.1016/S0305-0548(96)00032-9
R. Villasana, L. Garver, S. Salon. “Transmission network planning using linear programming”. IEEE Transactions on Power Apparatus and Systems. Nº. 2. 1985. pp. 104. DOI: https://doi.org/10.1109/TPAS.1985.319049
A. Escobar. Planeamiento dinámico de la expansión de sistemas de transmisión usando algoritmos combinatoriales. Tesis de Maestría. Programa de ingeniería Eléctrica. Universidad Tecnológica de Pereira. Pereira, Colombia. 2002. pp. 120-125. Disponible en: http://www.utp.edu.co/~aescobar/PlaneamientoDinamico.pdf.
A. Makhorin. GNU Linear Programming Kit (GLPK). Disponible en: http://www.gnu.org/software/glpk/. Consultada enero 24 de 2012.
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