基于环境因素和可控混合随机Petri网的电力通信网络可靠性评估与优化方法

Huilin Liu, Yucheng Ma, Xushan Chen, Meng Zhou, Shiyou Chen
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引用次数: 0

摘要

电力通信网的可靠性对电网的稳定运行至关重要。现有的电力通信网络可靠性评估研究很少考虑环境变化因素。实际上,电力业务路由工作环境的变化都会影响到电网的正常运行。研究了基于环境因素的电力通信网络可靠性评估方法。采用正态云模型方法对电力通信网络中的多环境因素进行建模,采用可控混合随机petri网络对具有备份路径的电力传输系统进行建模和分析。在仿真实验中,我们将该算法与不考虑环境因素影响的对比算法进行了比较。结果表明,该算法能较好地反映环境因素变化对系统可靠性的影响,更符合电力业务输电系统可靠性的实际变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability Evaluation and Optimization Method in Power Communication Network Based on Environmental Factors and Controlled Hybrid Stochastic Petri Net
The reliability of the power communication network is important to the stable operation of the power grid. Existing studies on the reliability evaluation of power communication networks rarely consider the factors of environmental changes. In fact, changes in the working environment of power service routing will affect the normal operation of the network. This paper studies the reliability evaluation method of power communication network based on environmental factors. The normal cloud model method is used to model the multiple environmental factors in the power communication network, and a controlled hybrid stochastic petri network is used to model and analyze the power transmission system with backup route. In simulation experiments, we compare our algorithm with the contrast algorithm that not considering the impact of environmental factors. The results show that our algorithm can well reflect the impact of changes in environmental factors on the reliability of the system, and more in line with the actual reliability changes of the power service transmission system.
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