风电场无功优化控制策略设计与应用

Design and Application of Reactive Power Optimization Control Strategy for Wind Farm

近年来,随着“双碳”目标的规划与要求,作为可再生能源的风电装机容量占比在增加,使得新型电力系统的安全稳定运行面临严峻挑战。大规模风电场并网不仅会降低电力系统惯性响应和一次调频能力,而且会产生电网的无功电压等电能质量问题,为保证新型电力系统的安全稳定运行,提出了一种基于遗传算法的无功优化控制策略,首先建立风电场整体的协调优化控制模型,并在此基础上建立以风电机组、箱式变压器和集电线路网损最小的目标函数,基于遗传算法进行求解,得到最优的协调控制策略。

In recent years,driven by the planning and requirements of the"double carbon"goal,the proportion of installed wind power capacity as renewable energy is gradually increasing,and consequently,seriously challenging the safe and stable operation of new power systems.The integration of large-scale wind farm with the power grid will not only reduce the inertia response and primary frequency regulation capability of the power system,but also bring about power quality problems such as reactive voltage.Therefore,aiming at the safe and stable operation of new power system,this paper,proposes a reactive power optimization control strategy based on genetic algorithm.Firstly,the coordinated optimization control model of the whole wind farm is established.On this basis,the objective function of minimizing the network loss of wind turbines,box-type transformers and collecting lines is then established.By using the genetic algorithm,the function is solved to obtain the optimal coordinated control strategy.