关于风力发电风电场供电优化控制研究

Research on optimal control of wind farm power supply for wind power generation

  • 摘要: 随着风电场规模化的不断发展,电网中不确定因素也不断增加,主要问题有,电压质量的下降,电压稳定性和供电可靠性的降低等等。因此对于风电的研究,必须考虑其供电优化的问题。针对这一问题,提出初值改进遗传算法,该算法保证了潮流计算能够得到全局最优解,使得参数更接近实际情况,在此基础上完成风电场供电优化。在MATLAB/Simulink平台下建立等值模型,分析发现基于初值改进遗传算法的等值效果明显优于常规遗传算法,从而验证了所提方法的正确性及可靠性。结果表明,初值改进遗传算法能够降低风电场接入电网后发生的不稳定情况。

     

    Abstract: With the increasing size of wind farms,the grid uncertainties are increasing,there are major problems,drop voltage quality,stability and reliability of power supply voltage is reduced,and so on.Therefore,the study of wind power,wind farms must be considered optimization problem of power distribution system. To solve this problem,it presents a new algorithm that based on the improved initial value.The algorithm ensure that the flow calculation to get global optimal solution,making the numerical results closer to the actual situation. And on this basis accomplish the parameter optimization. With MATLAB/Simulink platform,constructed a equivalence of asynchronous wind farms,Simulation analysis showed that the equivalent effect of the genetic algorithm based on the improved initial value is obviously better than conventional genetic algorithm. the results show that the improved genetic algorithm can effectively control the network loss and reactive power,wind farms connected to the grid can be reduced unstable situation occurs.

     

/

返回文章
返回