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Performance Evaluation of Modified Least Square Algorithm in Dynamic Events

机译:改进的最小二乘算法在动态事件中的性能评估

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As the population is increasing rapidly, Energy demands also needs to be fulfilled efficiently, for that supervision and monitoring of power system in various dynamic events have to be done precisely, Such tasks are normally done by Supervisory control and Data Acquisition System(SCADA) and Phasor Measurement Unit(PMU) also. PMU is best among all in terms of accuracy and time delaying as it uses Global Positioning System for synchronization with other PMU's, and strong phasor estimation algorithm with less number of samples giving accurate and real time tracking of power system in normal events as well as dynamic events. This paper evaluates Modified Least square method for various dynamic events as per IEEE standard of synchrophasor measurement. Morever dynamic events taken here are not model based signals, in earlier literatures model based signals were used, that problem is eliminated in this paper..
机译:随着人口的快速增长,对能源的需求也需要得到有效满足,因为必须在各种动态事件中精确地进行电力系统的监督和监视。此类任务通常由监督控制和数据采集系统(SCADA)完成,相量测量单元(PMU)。 PMU在精度和时间延迟方面是最佳之选,因为它使用全球定位系统与其他PMU进行同步,并且强大的相量估计算法具有较少的样本数,可以在正常事件和动态事件中准确,实时地跟踪电力系统事件。本文根据同步相量测量的IEEE标准,针对各种动态事件评估了改进的最小二乘方法。此外,这里采取的动态事件不是基于模型的信号,在较早的文献中使用的是基于模型的信号,因此该问题已得到解决。

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