An improved strategy of wind power generation expansion planning

With increasingly proportion of distributed generation (DG) in the power system, traditional power system planning has new challenges and demands. The necessity for flexible electric system, changing regulatory, energy savings and environmental impact are providing impetus to the development of DG. Itpsilas critical that the power system impacts be assessed accurately so that DG can be applied in a manner that avoid degradation of power quality, assure reliability and control of the utility system. In recent years, wind energy has become an important part of DG in many countries and its importance is continuing to increase. This paper focuses on the capacity planning of wind power stations, considering technical constrains, like feeder voltage profile, harmonic distortion etc, and establishes a model based on improved genetic algorithm to solve, which produces chaotic initial population to start iteration to raise algorithm for the speed and accuracy. Through simulation and calculation, the two sets of results are compared, and the feasibility of the above model and algorithm is demonstrated.