文章摘要
兰飞,潘益丰,时萌,等.双馈风电机组变系数虚拟惯量优化控制[J].电力系统自动化. DOI: 10.7500/AEPS20180813005.
LAN Fei,PAN Yifeng,SHI Meng, et al.Optimal Variable-coefficient Virtual Inertia Control for DFIG-based Wind Turbines[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20180813005.
双馈风电机组变系数虚拟惯量优化控制
Optimal Variable-coefficient Virtual Inertia Control for DFIG-based Wind Turbines
DOI:10.7500/AEPS20180813005
关键词: 双馈风力发电机  虚拟惯量  可变系数  遗传算法  频率稳定
KeyWords: doubly-fed induction generator  virtual inertia  variable coefficient  genetic algorithm  frequency stability
上网日期:2019-04-03
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位E-mail
兰飞 广西电力系统最优化与节能技术重点实验室(广西大学) lanfei88@163.com 
潘益丰 广西电力系统最优化与节能技术重点实验室(广西大学) 2681484711@qq.com 
时萌 广西电力系统最优化与节能技术重点实验室(广西大学) csusimon@163.com 
黎静华 广西电力系统最优化与节能技术重点实验室(广西大学) happyjinghua@163.com 
摘要:
      传统的变速恒频风力发电机组采用电力电子变流器控制,导致风电机组输出功率与系统频率解耦,使风机无法响应系统频率变化,降低了系统转动惯量。本文在分析双馈风力发电机运行特性和虚拟惯量特性的基础上,研究了双馈风力发电机采用虚拟惯量控制的机组转速变化与输出功率的关系,提出了同时考虑调频效益和调频成本的变系数虚拟惯量控制策略。该控制策略分别以调频时风机输出功率、转速恢复时间衡量调频效益、调频成本的大小,并采用遗传算法离线计算风机不同运行状态下的调频系数曲线和机组转速变化程度的最优值,以实现机组频率控制系数随机组转速变化而改变。根据计算所得调频系数曲线在Matlab/Simulink软件平台进行仿真实验,结果表明所提方法能使风电机在不同运行状态下响应系统频率变化,并保证风机自身稳定运行。
Abstract:
      The traditional variable-speed-constant-frequency (VSCF) wind power generator is controlled by the power electronic converter, which causes the active power of the wind turbine to be decoupled from the system frequency. Therefore the wind power generator cannot respond to frequency changes and the moment of inertia of power system may reduce. Based on the analysis of the operating characteristics and virtual inertia characteristics of the doubly fed induction generator (DFIG), the relationship between the change of speed and the active power of the DFIG-based wind turbine using virtual inertia control is studied. A variable coefficient virtual inertia control strategy considering both the frequency regulation efficiency and frequency regulation cost is proposed. In this control strategy, the output active power and speed recovery time of DFIG-based wind turbine are used to measure the efficiency and cost of the frequency regulation. The genetic algorithm is used to calculate the optimal frequency regulation coefficient curve and the rotational speed deviation under different states of the wind turbine, so as to realize the change of the frequency control coefficient changes with the rotor speed. According to the calculated coefficient curve, the simulation is carried out on Matlab/Simulink. The results show that the proposed method can respond to the system frequency changes under different operating conditions and ensure the stable operation of the wind turbine itself.
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