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作 者:李铠漩
机构地区:[1]华北水利水电大学电力学院
出 处:《科技创新与应用》2019年第33期52-53,56,共3页Technology Innovation and Application
摘 要:针对双馈风力发电机在并网过程中产生的冲击电流而引发的机侧换流器安全性问题,在机侧转速环上,设计了一种基于二次型性能指标学习算法的神经元自适应PID控制器。利用该控制策略来改善双馈风力发电机机侧换流器的安全性能,建立了双馈风力发电机机侧控制器仿真模型,对双馈风力发电机空载并网的前后过程进行了研究,并与传统PID控制策略的安全性进行了对比。研究表明,该控制策略具有动态响应快,并网冲击电流小的特点,提高了并网系统的安全性。在给定期望转速下,可以实现基本无超调,能够较好的满足并网要求,保证了整个系统的安全运行。In order to solve the safety problem of machine-side converter caused by impulse current generated by doubly-fed wind generator in the process of grid connection,a neuron adaptive PID controller based on quadratic performance index learning algorithm is designed on the speed loop of doubly-fed wind generator.The control strategy is used to improve the safety performance of the side control converter of the feed wind turbine,the simulation model of the side controller of the doubly fed wind turbine is established,and the process of no load connection of the doubly fed wind turbine is studied.The security of the control strategy is compared with that of the traditional PID control strategy.The research shows that the control strategy has the characteristics of fast dynamic response and small grid-connected impulse current,which improves the security of the grid-connected system.At the given expected speed,it can achieve no overshoot,can better meet the requirements of grid connection,and ensure the safe operation of the whole system.
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