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作 者:李红伟[1] 明兴莹 罗华林 亢庆林 林军木 LI Hong-wei;MING Xing-ying;LUO Hua-lin;KANG Qing-lin;LIN Jun-mu(College of Electrical Engineering and Information,Southwest Petroleum University,Chengdu 610500,China;Sichuan Shuxin Drive Technology Co.,Ltd.,Chengdu 611731,China)
机构地区:[1]西南石油大学电气信息学院,成都610500 [2]四川署信驱动科技有限公司,成都611731
出 处:《科学技术与工程》2023年第26期11224-11231,共8页Science Technology and Engineering
基 金:四川省科技厅重点研发项目(2020YFG0316);成都市技术创新研发项目(2022-YF05-00003-SN)。
摘 要:以中小型开关磁阻风力发电机为研究对象,针对发电过程中,在不同风速条件下最大功率点跟踪控制快速性和准确性的需求,提出了一种基于自适应加权灰狼优化PID算法的最大功率点跟踪控制策略。当外界风速发生变化时,根据实时风速计算出风力机最佳转速,其与实际转速的差值作为加权自适应灰狼优化PID控制算法的输入,作为转速闭环的PID控制参数,从而输出电压脉宽调制的最优占空比,实现变风速下的最大功率点跟踪控制。仿真结果表明,与传统PID控制相比,自适应加权灰狼优化PID算法能够在风速变化情况下,更加快速准确地实现最大功率点跟踪控制。Taking small and medium-sized switched reluctance wind turbines as the research object,aiming at the requirements of the rapidity and accuracy of the maximum power point tracking control under different wind speed conditions during the generation process,a maximum power point tracking control strategy based on adaptive weighted grey Wolf optimization PID algorithm was proposed.When the external wind speed changes,the optimal speed of the wind turbine is calculated according to the real-time wind speed.The difference between the actual speed and the weighted adaptive gray wolf PID control algorithm is used as the input of the closed-loop PID control parameter of the speed,so as to output the optimal duty ratio of the voltage pulse width modulation and realize the maximum power point tracking control under the variable wind speed.The simulation results show that compared with the traditional PID control,the adaptive weighted grey wolf optimization PID algorithm can quickly and accurately achieve the maximum power point tracking control under the condition of wind speed change.
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