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Reliability forecasting model for power transformers that have fulfilled their standard service life

机译:符合其标准使用寿命的电力变压器可靠性预测模型

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Today, the urgent tasks of the heat and power industry of the Russian Federation, as many other countries, are the problem of exceeding the service life of high-voltage electrical equipment of transformer and traction substations. This state of affairs leads to adverse consequences in the electric power system, which directly reduces the reliability of power supply to consumers, as well as to increase operating costs and technical losses of electric energy. Under the maximum load of transformers that have fulfilled the standard service life, constant monitoring is required to develop recommendations on the operation and operation modes of power transformers. The article considers the issue of calculating the reliability of power oil transformers. According to the collected statistical information, the most damaged parts of power transformers are identified. The main indicators that characterize the level and condition of the power transformer windings are shown. Using quantifiers of the distribution of the Chi-square, the upper and lower limits of the time between failure of the windings of power transformers for different periods of operation are determined, confidence limits with probability a = 0.9, 0.95, 0.99 are determined. According to the obtained data, the distribution of the Chi-square received a failure flow of the main element - the windings of power transformers with different periods of operation. There is a linear dependence of the decrease in reliability of the power transformers depending on the period of operation.
机译:今天,俄罗斯联邦的热电行业的紧急任务,正如许多其他国家都是超越变压器和牵引变电站的高压电气设备使用寿命的问题。这种事态导致电力系统的不利后果,直接降低了消费者的供电可靠性,以及提高电能的运营成本和技术损失。在满足标准使用寿命的变压器的最大负载下,需要持续的监控来开发关于电力变压器操作和操作模式的建议。该文章考虑了计算电力油变压器可靠性的问题。根据收集的统计信息,确定了电力变压器最损坏的部分。示出了表征电力变压器绕组的水平和条件的主要指标。使用Chi-Square的分布的量词,确定了不同操作周期的电力变压器绕组的绕组的失效之间的上下限制,确定具有概率A = 0.9,0.95,0.99的置信限制。根据所获得的数据,Chi-Square的分布接收了主元件的故障流动 - 具有不同操作时段的电力变压器的绕组。根据操作周期,电力变压器可靠性降低的线性依赖性。

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