Development of Multiresolution Analyzer for Nonlinear Phenomena in Power Systems in Order to Estimate the Insecure Condition

在输电网中，多台发电机通过线路电抗相互作用产生潮流波动。潮流波动中包含了由于系统运行不连续而产生的隐性非线性信号。本课题的研究目标是找出反映电力系统动态行为的关键参数，并开发多分辨率分析仪的原型，用于估计系统的非线性信号，以识别系统的不安全状态。通过研究得到的主要结果如下：(1)潮流波动分析仪样机由4个数字信号处理器组成。这使得并行处理在一个足够高的速度为在线操作。(2)利用基于线性时不变模型的辨识算法得到的关键参数，可以估计出电力系统的不安全状态。此外，考虑电力系统的非线性动态特性可以提高系统的精度。(3)利用东北电力公司电力系统模拟模拟器对样机分析仪进行了实验测试。试验结果表明，该样机可以检测出系统阻尼随发电机输出增大而衰减的情况。(4)研究了东北电力公司基于GPS的测量系统在多个地点同步采集的潮流波动的人机界面可视化。

In electric power transmission network, the power flow fluction occurs by the interaction among multiple generators through the line reactance. The power flow fluctuation include hidden nonlinear signal which arise from the discontinuity of system operation. Aim of our research project is focused to find out a key parameter that will show the dynamic behavior of power systems and to develop a prototype of the multiresolution analyzer to estimate the nonlinear signal for identification of the system insecure condition. The major results obtained through the study are as follows.(1) A prototype of the analyzer for electric power flow fluctutation is configured by 4 digital signal processors. This allows parallel processing in a sufficient high speed for the on-line operation.(2) We can estimate the insecure condition of power system by a key parameter obtained by an identification algorithm based on a linear time-invariant model. In addition improvement of the accuracy is confirmed if the nonlinear dynamic characteristics of power systems are taken into account.(3) Experimental test of the prototype analyzer was performed by using a power system analog simulator at Tohoku Electric Power Company. The results of test show that the deterioration of system damping according to the increasing generator output can be detect by the prototype.(4) Man machine interface has been studied which visualizes the power flow fluctuations synchronously collected at multiple locations by the GPS based measurement system of Tohoku Electric Power Company.