基于马尔可夫模型的低压配电线路运行状态信息的采集与处理方法

A method for collecting and processing operating status information of low voltage distribution lines based on markov model

智能电网的建设,推进了信息化建设与生产应用的深度融合。但在线路方面采用的是最传统的巡视和检修作业方式,低压箱式变压器通过周期测量掌握其运行状态,效率低下,难以适应新的管理模式和要求。因此,本文提出了一个基于马尔可夫模型的框架,该框架使得配电线路系统具备本地反馈和低通信的可实现性,并通过收集实现参考跟踪的方式,确保满足温度和循环约束条件。还可以分析低压配电线路现场运行环境各特征量可能对数据采集与传输造成的影响,解决复杂通信架构下的运行状态信息监测、自动采集与高效处理问题,为开展智能诊断、远程控制及运维策略提供基础数据。

The construction of smart grids has promoted the deep integration of information technology construction and production applications.However,in terms of the line,the most traditional inspection and maintenance methods are used.The low-voltage box transformer still grasps its operating status through periodic measurement direction,which is inefficient and cannot grasp the operating status in real-time,making it increasingly difficult to adapt to new management modes and requirements.Therefore,this paper proposes a framework based on Markov model,which makes the distribution line system have the Realizability of local feedback and low communication,and ensures that the temperature and cycle constraints are met by collecting reference tracking.It can also analyze the potential impact of various characteristics of the on-site operating environment of low-voltage distribution lines on data collection and transmission,solve the problems of monitoring,automatic collection,and efficient processing of operating status information under complex communication architectures,and provide basic data for intelligent diagnosis,remote control,and operation and maintenance strategies.