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Bayesian Networks for Power Quality Analysis in the Industrial Sector

机译：贝叶斯网络用于工业领域的电能质量分析

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This article presents a model to evaluate the power quality phenomenon denominated voltage sags by means of Bayesian networks. This model considers the main events that can be generated by the presence of voltage sags in the power industrial systems, especially on electronic and sensitive equipment. The relations of causality established between the main causes and the final effects consider both the internal and the external electrical conditions of the industrial power system, such as environmental effects. The probabilities of the causality relations are assigned from statistical data available in literature, from Monte Carlo simulations, sensitivity analysis and expert opinion. The model is very versatile, since it analyzes the sag phenomenon for any type of industry and voltage level and its impact on possible actions or corrective measures in aspects such as: maintenance, selection and coordination of protections, etc. in order to correct or to reduce the voltage sag phenomena and improve the service quality to the client and to other clients connected to the same distribution circuit
机译：本文介绍了一种模型，以通过贝叶斯网络评估功率质量现象的计价电压凹凸。该模型考虑了通过电力工业系统中的电压凹陷的存在来产生的主要事件，尤其是在电子和敏感设备上。在主要原因和最终影响之间建立的因果关系的关系考虑了工业电力系统的内部和外部电气条件，例如环境影响。从蒙特卡罗模拟，敏感性分析和专家意见，从文献中提供的统计数据分配了因果关系关系的概率。该模型非常通用，因为它分析了任何类型的行业和电压水平的下垂现象及其对可能的动作或纠正措施的影响，例如：维护，选择和协调保护等，以便纠正或纠正降低电压下滑现象，并将服务质量提高到客户端，并连接到连接到相同分配电路的其他客户端

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