基于多个广域测量系统的联合低频振荡分析和监测

为提高XLPE电缆绝缘诊断精度，将信息融合技术用于其中。针对D-S证据理论中各绝缘参数可信度分配难以确定的问题，提出模糊理论与证据理论相结合的绝缘诊断方法，建立基于模糊理论的证据融合诊断模型，该模型将模糊理论中的模糊集合与隶属度函数概念运用于证据理论，利用隶属度函数构造证据理论的合理信度函数分配，在此基础上联合每个绝缘参数的可信度形成最终的融合结果。实例分析表明了该诊断模型的有效性。

Multiple WAMS-Based Coordinated Analysis and Monitoring of Low Frequency Oscillations

For low frequency oscillation spanning several control areas, local WAMS cannot identify the oscillation mode if only according to the information obtained in its own control area. A coordinated analysis and monitoring method for low frequency oscillations is proposed based on the information from several wide Area Measurement Systems (WAMS). For the power system with several WAMS control centers, one of the control centers is selected as the master WAMS, the others are treated as slave WAMS. In case that one of the WAMS detects a dangerous low frequency oscillation occurring in its control area, it will trig the coordinated analysis of low frequency oscillation based on the data from all WAMS. The slave WAMSs make frequency analysis of their own measurements respectively, and send the results to the master station. The master station synchronizes the analysis results from different WAMS and different frequency analysis methods, and then makes coherent group of the buses and calculate the relative contributions of key buses to the power oscillation. The analysis result is then returned to the slave WAMS. By this method, each control center can clearly understand its role in a wide area when low frequency oscillation involves several control centers, which will help to control the low frequency oscillation.