What is it about?
A single objective nonlinear-constrained GA methodology is proposed for the optimal allocation and sizing of renewable energy-based DGs. The main objective is to minimise power losses while satisfying system’s constraints within a specified tolerance such as power balance, voltage level, maximum power flow and maximum DG size. The optimisation problem is solved through combining the objective function and the nonlinear constraints by using the augmented Lagrangian genetic algorithm (ALGA).
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Why is it important?
The advantage of the applied method is that instead of expecting penalty factor which will affect the results, an initial value is assumed and the programme increases it during the programme running mode to obtain best and fast convergence to the optimal solution. The optimisation method is carried out considering different scenarios of single and multiple DG allocation.
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This page is a summary of: Genetic single objective optimisation for sizing and allocation of renewable DG systems, International Journal of Sustainable Energy, June 2015, Taylor & Francis, DOI: 10.1080/14786451.2015.1053393.
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