Initial study on the predictability of real power on the grid based on PMU data

T. Ferryman, F. Tuffner, N. Zhou, Guang Lin
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引用次数: 3

Abstract

Operations on the electric power grid provide highly reliable power to the end users. These operations involve hundreds of human operators and automated control schemes. However, the operations process can often take several minutes to complete. During these several minutes, the operations are often evaluated on a past state of the power system. Proper prediction methods could change this to make the operations evaluate the state of the power grid minutes in advance. Such information allows proactive, rather than reactive, actions on the power system and aids in improving the efficiency and reliability of the power grid as a whole. A successful demonstration of this prediction framework is necessary to evaluate the feasibility of utilizing such predicted states in grid operations.
基于PMU数据的电网实际功率可预测性初步研究
电网的运行为最终用户提供了高度可靠的电力。这些操作涉及数百名人工操作人员和自动化控制方案。然而,操作过程通常需要几分钟才能完成。在这几分钟内,运行通常是根据电力系统过去的状态进行评估的。适当的预测方法可以改变这种状况,使运行提前几分钟评估电网的状态。这些信息允许对电力系统采取主动行动,而不是被动行动,并有助于提高整个电网的效率和可靠性。为了评估在电网运行中利用这种预测状态的可行性,有必要对该预测框架进行成功的演示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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