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Reliability Assessment of Power Systems Based On Element Time Sequential by Bayesian Networks

机译:基于贝叶斯网络顺序的基于元素时间的电力系统可靠性评估

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Bayesian network can represent probabilistic information flexibly, and to make inference on it. With the time sequential simulation Technique, the Bayesian topological structure and the Bayesian bidirectional inference method used in the distribution systems for the reliability assessment, the influence of each element or several elements to the reliability of the whole system can be gained conveniently, and the correlative data that relate to the time and the fault times can be gotten easily as well. Thus the shortcomings of traditional reliability assessment methods are overcomed. According to verification with the models, the effectiveness and advantage of the reliability assessment with the Bayesian network method used in the distribution systems is better.
机译:贝叶斯网络可以灵活地代表概率信息,并对它进行推动。随着时间顺序仿真技术,贝叶斯拓扑结构和用于可靠性评估的分配系统中使用的贝叶斯双向推理方法,可以方便地获得每个元件或多个元素对整个系统的可靠性的影响,以及相关性与时间和故障时间相关的数据也可以很容易地获得。因此,克服了传统可靠性评估方法的缺点。根据模型的验证,与分配系统中使用的贝叶斯网络方法的可靠性评估的有效性和优势更好。

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