基于交叉熵概念的智能电网电压不稳定概率评估

Mohammad Reza Iranpour, M. A. Hejazi, R. Arghandeh
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引用次数: 0

摘要

得益于可再生能源、电动汽车、SCADA和PMU系统等新技术的部署,智能电网正变得越来越复杂和不确定,这可能会影响这些系统的安全性和可靠性。发电机组功率和负荷需求的变化会引起母线电压的变化,而母线电压的变化会达到崩溃点,从而导致智能电网的不稳定。因此,从母线电压角度进行智能电网不确定行为下的不稳定性评估,对于智能电网系统的运行研究是十分必要和重要的。本文利用交叉熵的概念,提出了一种考虑智能电网随机和不确定行为的母线电压不稳定评估新方法。利用Kullback - Libeler散度计算各母线运行电压与崩溃点之间的距离,计算系统运行不确定时系统电压的不稳定性。利用蒙特卡罗仿真对IEEE 30总线系统进行了分析,对所提出的方法进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probabilistic Voltage Instability Assessment of Smart Grid Based on Cross Entropy Concept
Smart grids, which benefit from the deployment of new technologies such as renewable energy sources, electric vehicles, SCADA and PMU systems and etc., are becoming increasingly complex and uncertain, that can affect security and reliability of these systems. Power variation in generation units and loads demand causes variation in buses voltage that can reach to collapse point and cause instability in smart grids. Therefore instability assessment from buses voltage point of view under uncertain behaviors of smart grids is necessary and important for operation studies of these systems. In this paper by use of cross entropy concept, a new method for bus voltage instability assessment, in which stochastic and uncertain behavior of smart grids had been considered, is introduced. The distance between operational voltage and collapse point for each bus by use of Kullback Libeler divergence is evaluated to calculate instability of system voltage under uncertain operation of system. The IEEE 30-bus system has been analyzed by use of Monte Carlo simulation to evaluate the proposed method.
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