摘要
提出一种改进的电压暂降随机预估方法,并应用于具有多项式负荷模型的配电网评估中。该方法按照系统不同故障时的节点功率方程建立统一的牛顿型迭代方程,针对牛顿法不能保证迭代可靠收敛的问题,采用可变步长的Levenberg-Marquardt(LM)方法计算得到4种故障类型下的电压暂降域及评估指标。IEEE30节点系统的计算证明了考虑负荷模型的必要性以及所述方法的有效性。
An improved method for stochastic estimation of voltage sags is proposed for large distribution systems with polynomial load model. The uniform Newton-style iterative format for voltage sag magnitude is developed based on the nodal power equations associated with different faults. In the proposed method, the Levenberg-Marquardt （LM） method with variable step size is adopted to calculate the voltage sag domain and ESF indices of point of common coupling （PCC） for four faults, which are divergent by the Newton＇s method. It is proved on IEEE 30-bus system that load model is necessary to be involved for voltage sag assessment and the proposed method is suitable for stochastic estimation of voltage sag in large distribution systems.
出处
《电力系统自动化》
EI
CSCD
北大核心
2009年第15期84-88,共5页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(70773039)
国家重点基础研究发展计划(973计划)资助项目(2009CB219706)
高等学校学科创新引智计划项目(B08013)~~
