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K. Deb, A. Pratap, S. Agarwal and T. Meyarivan, “A Fast and Elitist Multi-objective Genetic Algorithm: NSGA-II,” IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, 2002, pp. 182-197. doi:org/10.1109/4235.996017

has been cited by the following article:

• TITLE: Embedding PV and WF Models into Steady State Studies by an Optimization Strategy

  AUTHORS: Juan Manuel Ramirez

  KEYWORDS: Distributed Generation (DG), Optimization, Photovoltaic Energy, Renewable Energy, Smart Grid, Wind Farm

  JOURNAL NAME: Smart Grid and Renewable Energy, Vol.2 No.3, August 8, 2011

  ABSTRACT: Modeling of photovoltaic (PV) and wind farms (WF) stations to take into account these renewable energies into the power flow formulation are summarized. A strategy based on multi objective optimization in order to allocate PV and WF power into electrical power system is proposed. It is assumed that there are a reduced number of choices to allocate the stations. The algorithm is applied to the 39-bus test power system. The results show that the proposed algorithm is capable of optimal placement of renewable units.