Construction of wind farms rise for wind energy capture as a renewable energy around the world. The purpose of wind farm layout optimization, absorb maximum energy from wind farms. In this paper, a new hybrid algorithm is presented to maximize the expected energy output More
Construction of wind farms rise for wind energy capture as a renewable energy around the world. The purpose of wind farm layout optimization, absorb maximum energy from wind farms. In this paper, a new hybrid algorithm is presented to maximize the expected energy output. Considerations of algorithm wake loss, which is based on wind turbine location and wind direction. The proposed model is illustrated with a scenario of the wind speed and its direction distribution of windy sites and is compared with ant colony algorithm and evolutionary strategy algorithm in six steps layout. The results show that the combination of ant colony algorithm and genetic algorithm performs better than existing strategies based on maximum values of the expected energy output and wake loss.
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In this paper a control technique for renewable energy resources–grid interface is proposed based on extended multi output-recursive least square (EMO-RLS) algorithm considering active power management and harmonic, unbalanced and reactive current components elimination More
In this paper a control technique for renewable energy resources–grid interface is proposed based on extended multi output-recursive least square (EMO-RLS) algorithm considering active power management and harmonic, unbalanced and reactive current components elimination. The proposed method is evaluated via MATLAB/SIMULINK software. Firstly, an artificial three-phase unbalanced harmonic signal is generated. It will be transmitted to different estimators for their outputs comparison. The results indicate proper performance of the suggested structure for active harmonic symmetrical components analysis in comparison with the other traditional methods. Also, its dynamic operation in tracking of load current variations is evaluated employing EMO–RLS algorithm for control system of a DG source interface. It illustrates the active power injection to the grid is managed, as well as the harmonic, unbalance and reactive current components, are decreased simultaneously.
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