In the present research a new viral systems optimization algorithm is developed to find the optimal number and position of wind turbines in large wind farms with the main objective of minimizing the cost per unit power produced from the wind park. The developed algorithm is applied to three well known problems in literature which are: 1) constant wind speedâ€¦ (More)

In the present research, the Wind Turbine placement problem for renewable energy utilization is solved using a viral systems optimization algorithm which finds the optimum configuration of wind turbines within a wind farm considering uniform wind-speed, and unidirectional wind. The problem is solved using a single type of turbine and constraining theâ€¦ (More)

In the present work, the Monkey Algorithm was adapted to find the proper component configuration for a Hybrid Micro-Grid with the introduction of simulation techniques into the evaluation step of the heuristic in order to account for the stochastic behavior of the renewable energy components. The forecasting methods allow the simulation to solve theâ€¦ (More)