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适用于多直流馈入电网的频率弹性评估方法

Frequency resilience evaluation for multi-HVDC feed-in power grid

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【作者】 刘阳曹毅赵欣

【Author】 LIU Yang;CAO Yi;ZHAO Xin;State Grid Jiangsu Electric Power Co.,Ltd.;School of Electrical Engineering, Southeast University;

【机构】 国网江苏省电力有限公司东南大学电气工程学院

【摘要】 为精准定量评估交直流混联电网遭受故障后的频率恢复能力,文中提出一种适用于多直流馈入受端电网的频率弹性评估方法。首先,针对不同直流闭锁故障进行仿真计算,掌握电网故障后的频率变化特征;然后,计算一次调频期间实际频率曲线与恒定频率曲线之间的面积,将其作为电网频率弹性评估指标,并建立各种直流闭锁故障与频率弹性指标的映射关系。所提方法不仅能实现多直流馈入电网频率弹性评估,还可定量对比不同措施的频率稳定性提升效果。最后,以华东实际电网为例进行仿真验证,分析增加燃机等多种措施的频率稳定提升效果,结果表明文中所提频率弹性评估方法正确且有效。

【Abstract】 In order to evaluate the frequency recovery capability of AC/DC hybrid power grid after fault accurately and quantitatively, a frequency resilience evaluation method for receiving-end power grid with multi-high voltage direct current(HVDC) feed-in is proposed. Firstly, electromechanical transient simulations are carried out under different HVDC blocking faults so that the frequency variation of power grid is obtained. Then, the area between the frequency change curve and the constant frequency curve during the primary frequency regulation is calculated to evaluate the frequency resilience of the power grid. In this way, the mapping relationship between various DC blocking faults and frequency resilience index is established successfully. Proposed method not only can evaluate the frequency resilience of multi-HVDC feed-in power grid, but also can analyze the effect of different measures on improving frequency stability. In the end, taking the actual East China power grid as an example. The adaptability of the proposed index to evaluate the frequency stability of power grid is analyzed. The stability improvement effect of various measures such as increasing gas turbine is quantitatively tested. The results show that the proposed frequency resilience evaluation method is effective and correct, which can effectively guide the planning and operation of the actual power grid.

【基金】 国家自然科学基金国际(地区)合作与交流项目“环境交互下的海上风电系统:多物理场模型与大数据研究”(5171101179)
  • 【文献出处】 电力工程技术 ,Electric Power Engineering Technology , 编辑部邮箱 ,2021年04期
  • 【分类号】TM721.1
  • 【被引频次】1
  • 【下载频次】127
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