A genetic algorithm to solve power system expansion planning with renewable energy
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In this paper, a deterministic dynamic mixed-integer programming model for solving the generation and transmission expansion-planning problem is addressed. The proposed model integrates conventional generation with renewable energy sources and it is based on a centralized planned transmission expansion. Due a growing demand over time, it is necessary to generate expansion plans that can meet the future requirements of energy systems. Nowadays, in most systems a public entity develops both the short and long of electricity-grid expansion planning and mainly deterministic methods are employed. In this study, an heuristic optimization approach based on genetic algorithms is presented. Numerical results show the performance of the proposed algorithm. © 2018, Springer Nature Switzerland AG.
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Martinez-Villaseñor, Lourdes; Ponce, Hiram; Marmolejo-Saucedo, José-Antonio (Springer Verlag, 2018)In this paper, a deterministic dynamic mixed-integer programming model for solving the generation and transmission expansion-planning problem is addressed. The proposed model integrates conventional generation with renewable ...
Corrigendum to “Quadratic buck-boost converter with positive output voltage and continuous input current for PEMFC systems” Rosas-caro, Julio; Valderrabano-Gonzalez, Antonio (Elsevier Ltd., 2018-03)There is an equation into Fig. 1 which says Vout = Vg * D/(1−D) but it is not correct. There is an additional D in that equation, it should have read Vout = Vg. ©2018 International Journal of Hydrogen Energy, Elsevier Ltd.
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