Abstract
In this paper, a hybrid optimization method to optimally allocate wind turbines (WTs) in microgrids is proposed. The method combines genetic algorithm (GA) and optimal power flow (OPF) to jointly minimize total active power losses and maximize social welfare considering different combinations of wind generation and load demand over a year. The GA is used to choose the optimal size while the OPF to determine the optimal number of WTs at each candidate bus. The method is applied by microgrid operators to find the optimal numbers and sizes of WTs among different potential combinations. The effectiveness of the proposed method is demonstrated with an 83-bus 11.4 kV microgrid.
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Mokryani, G., Siano, P. & Piccolo, A. Optimal allocation of wind turbines in microgrids by using genetic algorithm. J Ambient Intell Human Comput 4, 613–619 (2013). https://doi.org/10.1007/s12652-012-0163-6
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DOI: https://doi.org/10.1007/s12652-012-0163-6