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State prediction of centralized protection measuring and controlling device

机译:集中保护测控装置的状态预测

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It is the key to ensure the sustainable operation of intelligent substation to accurately predict the effective life of centralized protection measurement and control device in intelligent substation. A life prediction method based on cloud model and Markov chain is proposed. The initial state probability distribution vector is constructed by using the operation state data of the centralized protection measurement and control device and the membership function of the cloud model, then the state transition probability matrix is obtained according to the Markov chain principle, and the effective life of the protection device is predicted by the reliability criterion. The result of calculation example shows that the method can scientifically predict the effective life of the centralized protection measuring and controlling device, and can provide guidance for the status maintenance of the intelligent substation device.
机译:准确预测智能变电站集中保护测控装置的有效寿命是保证智能变电站持续运行的关键。提出了一种基于云模型和马尔可夫链的寿命预测方法。利用集中保护测控装置的运行状态数据和云模型的隶属度函数构造初始状态概率分布矢量,然后根据马尔可夫链原理得到状态转移概率矩阵,并得出有效寿命。保护装置的可靠性由可靠性标准来预测。算例结果表明,该方法可以科学地预测集中保护测控装置的有效寿命,为智能变电站装置的状态维护提供指导。

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