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考虑分组控制和有序恢复的风电调频策略
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山东大学电气工程学院

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Frequency Regulation Strategy for Wind Power Considering Grouping Control and Orderly Recovery
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    摘要:

    针对高风电渗透水平下运行的电力系统,本文提出一种考虑分组控制和错位恢复的风电调频策略。首先,基于风机在该策略不同控制参数设置下的运行特性,将风机分组,为后续错位转速恢复减轻频率二次冲击奠定基础。在发生频率跌落时,令各组风机均提升有功功率至转矩保护限制下的最大值来抑制频率跌落。考虑到调频时基于转子转速或可释放转动惯量调节的控制策略与系统频率解耦,本文通过补充频率过调抑制系数对风机参考功率进行修正。仿真结果表明,所提策略通过让风机分组错位启动转速恢复和以“先抑后扬”的功率调节方式来收敛回到最大功率运行点,能有效平滑风机调频状态切换时的过渡过程,并使转速恢复不至于过慢。同时,频率过调抑制系数的引入增强了被触发后与系统频率解耦的调频控制对不同程度扰动的适应性。

    Abstract:

    This paper proposes a frequency regulation strategy of wind power based on grouping control and staggered recovery for power system with high wind power penetration. Firstly, basing on the response characteristics of proposed scheme with different parameter settings, wind turbines are divided into two groups, laying foundation for the subsequent staggered rotor recovery to mitigate secondary frequency impact. When frequency event occurs, both of the groups raise power to the torque limit to arrest frequency decline. Considering that frequency regulation schemes based on rotor speed or releasable kinetic energy are decoupled from frequency, the proposed scheme regulates wind power with a coefficient designed for suppressing frequency overshoot. The simulation results indicate that by executing rotor speed recovery staggeringly and proceeding the course of regaining MPPT operation by adjusting wind power in a “First repress then raise” way, the proposed scheme smooths the process of frequency regulation effectively without making it to be excessively time-consuming. Meanwhile, the coefficient proposed for suppressing frequency overshoot enhances the adaptability of regulation schemes that are decoupled from frequency after being triggered, towards disturbances of different severities.

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劳焕景,张黎,赵彤,等.考虑分组控制和有序恢复的风电调频策略[J/OL].电力系统自动化,http://doi.org/10.7500/AEPS20200312006.
LAO Huanjing,ZHANG Li,ZHAO Tong,et al.Frequency Regulation Strategy for Wind Power Considering Grouping Control and Orderly Recovery[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20200312006.

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  • 收稿日期:2020-03-12
  • 最后修改日期:2020-05-15
  • 录用日期:2020-04-14
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