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基于电磁暂态仿真的电压骤降概率评估

Probability assessment of voltage sags based on electromagnetic transient simulations

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【作者】 宋云亭郭永基张瑞华

【Author】 SONG Yunting1, GUO Yongji1, ZHANG Ruihua2(1. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China; 2. Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100080, China)

【机构】 清华大学电机工程与应用电子技术系中国科学院电工研究所 北京100084北京100084北京100080

【摘要】 为了准确预测电力系统中电压骤降的特性及后果,提出了基于非序贯Monte-Carlo模拟和电磁暂态仿真相结合的电力系统电压骤降的概率评估新方法和概率评估指标体系。Monte-Carlo法的优点在于能反映电力系统的随机特性,使用该方法几乎不受系统复杂性的限制。算法利用Monte-Carlo仿真得到各种故障信息,通过仿真程序PSCAD/EMTDC对Monte-Carlo模拟法随机产生的各种故障形态进行仿真计算,最后分析统计得到系统和敏感负荷点电压骤降的各项概率指标。文中以RBTS标准测试系统为例进行了分析计算,结果表明模型和算法是可行的。

【Abstract】 The characteristics and effects of voltage sags in power systems were calculated using a probability assessment algorithm for power system voltage sags based on nonsequential MonteCarlo simulation and electromagnetic transient simulation. A systematic set of indices was developed for probability assessment of power system voltage sags, including customerorientated and global systemorientated indices. The advantage of the MonteCarlo simulation approach is that it can reflect the stochastic nature of the power system behavior. The MonteCarlo simulation requires almost no restrictions on system complexity. The MonteCarlo simulation generates all kinds of fault information using reliability data for power system components. The electromagnetic transient simulation by the program PSCAD/EMTDC considers all fault types. System and sensitive load nodes voltage sags indices are obtained. The algorithm effectiveness is verified numerically for the IEEERBTS test system.

【基金】 教育部博士点专项科研基金资助项目(1999000347)
  • 【文献出处】 清华大学学报(自然科学版) ,Journal of Tsinghua University(Science and Technology) , 编辑部邮箱 ,2003年09期
  • 【分类号】TM743
  • 【被引频次】19
  • 【下载频次】298
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