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Identifying inrush currents based on Bayesian recursive algorithm for a numerical overcurrent protection relay

机译:基于贝叶斯递归算法的数字式过电流保护继电器的涌入电流识别

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The overcurrent relays are one of the most important devices on the electrical power system because they help to eliminate the abnormal currents. However, the relays sometimes cause nuisance trips when the circuit is starting because they fail to discriminate between the short-circuit current and the inrush current. This paper introduces a new principle of discrimination between inrush currents and short-circuit currents based on Bayesian recursive algorithm. Information about the abnormal current patterns as well as the instance of the event can be represented in terms of probability density functions, Bayesian rules help combine the probability information to find the most probable prediction about the current states. Experiment results demonstrate that this method is effective and helps the relay avoid nuisance tripping of short-circuit protection.
机译:过电流继电器是电力系统上最重要的设备之一,因为它们有助于消除异常电流。但是,继电器在电路启动时有时会引起误跳闸,因为它们无法区分短路电流和浪涌电流。本文提出了一种基于贝叶斯递归算法的浪涌电流与短路电流判别的新原理。有关异常电流模式以及事件实例的信息可以用概率密度函数表示,贝叶斯规则有助于组合概率信息以找到有关当前状态的最可能的预测。实验结果表明,该方法是有效的,可以帮助继电器避免短路保护的误跳闸。

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