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。
The characteristics and effects of voltage sags in power systems were calculated using a probability assessment algorithm for power system voltage sags based on nonsequential MonteCarlo simulation and electromagnetic transient simulation. A systematic set of indices was developed for probability assessment of power system voltage sags, including customerorientated and global systemorientated indices. The advantage of the MonteCarlo simulation approach is that it can reflect the stochastic nature of the power system behavior. The MonteCarlo simulation requires almost no restrictions on system complexity. The MonteCarlo 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 IEEERBTS test system.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2003年第9期1177-1180,共4页
Journal of Tsinghua University(Science and Technology)
基金
教育部博士点专项科研基金资助项目(1999000347)
