摘要
针对风电机组惯量响应结束后可能出现的功率跌落和较大的机械载荷冲击问题,分析了双馈风电机组虚拟惯量控制原理,提出了基于指数函数渐进趋近的风电机组转速恢复方法。通过动态调整调节系数,改变参考功率与目标恢复功率渐近速率,降低机械载荷冲击。分析了调节系数与转速、目标恢复功率的关系,从功率跌落优化角度研究了两种目标恢复功率的控制方法,同时给出了惯量响应期间主控与变流器协调配合方法。相比常规控制方式,所提方法能有效降低转速恢复期间机械载荷并减小功率跌落深度。在Matlab与Bladed中建立了包含气动、电气与机械特性的风电机组联合仿真模型,仿真验证了所提控制策略的正确性和有效性。
Aiming at the power drop and large mechanical load shock that may occur after the wind turbine inertia response,the principle of virtual inertia control of the doubly-fed induction generator based wind turbine is analyzed,and an asymptotically approaching method based on the exponential function is proposed.By dynamically adjusting the adjustment coefficient,the asymptotic rate of the reference power and the target restoration power is changed,reducing the mechanical load impact.The relationship between the adjustment coefficient,the speed and the target recovery power is analyzed.Two control methods of the target recovery power are studied from the perspective of the power drop optimization.At the same time,the coordination method of the main control and the converter during the inertia response period is given.Compared with the conventional control method,the proposed method can effectively reduce the mechanical load during the speed recovery period and lower the power drop depth.A joint simulation model of wind turbines including aerodynamic,electrical and mechanical characteristics is established in Matlab and Bladed,and the correctness and effectiveness of the proposed control strategy are verified by simulation.
作者
秦世耀
代林旺
王瑞明
毕然
徐婷
赵剑锋
QIN Shiyao;DAI Linwang;WANG Ruiming;BI Ran;XU Ting;ZHAO Jianfeng(School of Electrical Engineering,Southeast University,Nanjing 210096,Jiangsu Province,China;State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems(China Electric Power Research Institute),Haidian District,Beijing 100192,China)
出处
《电网技术》
EI
CSCD
北大核心
2021年第5期1665-1672,共8页
Power System Technology
基金
国家重点研发计划项目(2018YFB0904000)。
关键词
双馈风电机组
虚拟惯量
机械载荷
渐进趋近
转速恢复
doubly-fed induction generator based wind turbine
virtual inertia
mechanical load
asymptotically approaching
speed recovery