Sitting and Sizing of Distributed Wind Generation Based on Simulated Annealing Genetic Algorithm
Yang Ju
Abstract
Yang Ju
Abstract
The optimal configuartion of distributed generators is one of the important issues for the smart grid. The reasonable sitting and sizing of distributed power is very important for network planning. Based on the distributed wind power generation platform,and considering the influence about the distribution network loss and the voltage quality,a new power flow calculation method with a view to the effection of the distributed wind generator is applied for related electrical parameters of this distribution network. The simulated annealing genetic algorithm is applied to optimization algorithm for sitting and sizing of distributed wind generation based on the proposed power flow method. Finally,an example is given to show the effectiveness of the method.
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The optimal configuartion of distributed generators is one of the important issues for the smart grid. The reasonable sitting and sizing of distributed power is very important for network planning. Based on the distributed wind power generation platform,and considering the influence about the distribution network loss and the voltage quality,a new power flow calculation method with a view to the effection of the distributed wind generator is applied for related electrical parameters of this distribution network. The simulated annealing genetic algorithm is applied to optimization algorithm for sitting and sizing of distributed wind generation based on the proposed power flow method. Finally,an example is given to show the effectiveness of the method.
Key concepts: Sizing, Simulated annealing, Distributed generation, Wind power, Genetic algorithm, Computer science, Grid, Voltage