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Bus Measurements Protection against Bad Data Injection in Electric Power Grids

机译:巴士测量防范电网中的不良数据注入

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System security indices play a crucial role with regard to monitoring system statues. These indices are derived from system measurements which are prone to either intentional or unintentional noises. To alleviate the effect of intentional noises, it is required to protect measurements data from bad data injection. In this regard, this paper intends to propose an approach to determine priority order of protected bus measurements in order to negate the effects of bad data injection on security indices. With this in mind, two security severity indices, the over loading risk index and the under voltage risk index, are considered. Genetic algorithm serves to find the highest deteriorating effect of bad data injection on security indices. The effectiveness and applicability of the proposed method is examined through applying it to the standard IEEE 30-bus system. The obtained results emphasize the importance of protecting bus measurements against bad data injection.
机译:系统安全指标在监测系统雕像方面发挥着至关重要的作用。这些指数来自系统测量,其易于有意或无意的噪音。为了减轻故意噪音的效果,需要保护测量数据免受数据注入的不良数据。在这方面,本文旨在提出一种确定保护总线测量的优先顺序的方法,以否定对安全指标的不良数据注射的影响。考虑到这一点,考虑了两种安全严重性指数,过载风险指数和欠压风险指数。遗传算法用于在安全指标上找到错误数据注射的最高效果。通过将其施加到标准IEEE 30-Bus系统,检查所提出的方法的有效性和适用性。所获得的结果强调保护总线测量对不良数据注入的重要性。

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