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Lucas S. Nepomuceno
Departamento de Energia, Universidade Federal de Juiz de Fora
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Edimar J. de Oliveira
Departamento de Energia, Universidade Federal de Juiz de Fora
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Arthur N. de Paula
Departamento de Energia, Universidade Federal de Juiz de Fora
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Monique R. da Costa
Departamento de Energia, Universidade Federal de Juiz de Fora
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Leonardo W. Oliveira
Departamento de Energia, Universidade Federal de Juiz de Fora
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Edmarcio A. Belati
Centro de Engenharia, Modelagem e Ciências Sociais Aplicadas, Universidade Fedral do ABC
Keywords:
Transmission Expasion Planning, Electric market, Uncertainties of Renewable Sources, Electricity Market, Hybrid optimizer, Grey Wolf Optimization
Abstract
This work presents a hybrid optimization method between classical and meta-heuristic optimization to solve the Transmission network expansion planning and static and stochastic growth, considering the uncertain market characteristics, with wind generation and required expansion. Considering the planning inserted in a market environment, where the model of producers and consumers is negotiated, the electric energy through a pool-hour auction. The impact of limiting the annual investment cost is investigated, considering different auction scenarios. The study system is the 24-bus IEEE-RTS. The results of the transmission network show an investment in the expansion of the best environment for the delivery of distribution, in addition to the importance of considering variations in intermittent energy sources and demands, in addition to intermittent energy sources and demands, of growth scenarios.
