基于功率轨迹预设的双馈风电机组虚拟惯量控制策略  被引量:5

Virtual Inertia Control Strategy for Doubly-Fed Induction Generator Based on Preset Power Trajectory

在线阅读下载全文

作  者:林旭 李军[1] 杨德健 王鑫[1] 王汝田 金朝阳 LIN Xu;LI Jun;YANG Dejian;WANG Xin;WANG Rutian;JIN Zhaoyang(Key Laboratory of Modern Power System Simulation Control and New Technology of Green Electric Energy,Ministry of Education(Northeast Electric Power University),Jilin132012,China;Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University),Jinan 250061,China)

机构地区:[1]现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林吉林132012 [2]电网智能化调度与控制教育部重点实验室(山东大学),山东济南250061

出  处:《智慧电力》2023年第10期47-53,共7页Smart Power

基  金:国家自然科学基金资助项目(52277170)。

摘  要:传统虚拟惯量控制的双馈风力发电机组参数设置不当将面临风机失速的风险,且风机有功出力的瞬时下降可能引起频率的二次跌落。为此,提出一种改进虚拟惯量控制策略,基于系统频率最低点产生时刻,设定频率有功出力维持时间,减小不必要的转子动能释放;转速恢复期间有功出力随时间缓慢减少至风机最大功率跟踪点,减小频率二次跌落。最后,基于EMTP-RV仿真平台搭建高比例风电联网调频电力系统,验证了在不同变风速场景下改进方法的有效性和优越性。Improper parameter settings in traditional virtual inertia control for DFIG may cause a risk of wind turbine stall,and a momentary decrease in DFIG active power output can lead to a secondary drop in frequency.To address these problems,this paper proposes an improved virtual inertia control strategy.The duration for maintaining the active power output is set based on the occurrence time of the frequency nadir to reduce the unnecessary rotor kinetic energy release.In wind turbine speed recovery stage,the active power output decreases slowly with time to the maximum power point tracking of the wind turbine,reducing the secondary frequency drop.Finally,a high proportion of wind power penetration power system is established based on EMTP-RV simulation platform,and the effectiveness and superiority of the proposed method are verified under different variable wind speed conditions.

关 键 词:双馈风力发电机 虚拟惯量控制 风电渗透率 扰动 变风速 

分 类 号:TM614[电气工程—电力系统及自动化]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象