摘要
稳定裕度的评估包括获得受扰轨迹和分析轨迹能量这2个任务。虽然相量测量单元(PMU)采集的受扰轨迹避开了仿真模型、参数及扰动中包含的不真实性,但只有在计算该轨迹的稳定裕度时也不用系统模型,才能精确量化实际受扰系统的稳定性。在无系统模型的情况下,基于扩展等面积准则(EEAC)可以精确地量化失稳轨迹的稳定性,但要量化稳定轨迹的稳定性却遇到极大困难。由于高维时变系统的在线识别更为困难,故采用功率-功角曲线的外推来虚构摆动最远点(FEP)后的轨迹和潜在势能,并提出通过时变性指标来识别那些外推误差大的算例。通过对IEEE39系统和华东电网的仿真,验证了所建议的无模型评估方法。
The assessment of stability margin includes two tasks： the acquisition of disturbed trajectories and analysis of trajectory energy. Disturbed trajectories acquired by phasor measurement unit （PMU） can avoid the unfaithfulness of models, parameters and disturbance scenarios adopted for simulations. To quantify the stability of the disturbed system exactly, the calculation of the trajectory stability margin should not use supposed models. In a model-free situation, the stability of unstable trajectories can be quantified exactly based on extended equal-area criterion （EEAC） while the stability quantification of stable trajectories faces great difficulty. Online identification for a system of high dimensions and time-variation is even more difficult. Therefore, the extrapolation of power-angle curve is adopted to predict the imaginary trajectory after the farthest point （FEP） and potential energy. Time-variation indices are proposed to identify the cases with large error in extrapolation. The proposed method is validated on IEEE 39-bus system and East China power grid. This work is jointly supported by National Natural Science Foundation of China （No. 50595413） and State Grid Corporation of China （No. SGKJ[2007] 98＆187＆2009）.
出处
《电力系统自动化》
EI
CSCD
北大核心
2009年第16期1-6,18,共7页
Automation of Electric Power Systems
基金
国家自然科学基金重大项目(50595413)
国家电网公司科技项目(SGKJ[2007]98&187&2009)~~
关键词
稳定裕度
相量测量单元
知识挖掘
曲线外推
时变性
可接受度
stability margin
phasor measurement unit （PMU）
knowledge mining
curve extrapolation
time-variation
acceptability
