基于蒙特卡洛模拟的变电运行状态监测系统设计

Design of Substation Operational Status Monitoring System Based on Monte Carlo Simulation

变电运行状态监测受不同监测位置、复杂监测线路以及相似度较高数据影响,通信受阻导致监测数据受损,研究基于蒙特卡洛模拟的变电运行状态监测系统。基于物联网技术构建由感知层、网络层、平台层和应用层组成的智能监测架构,以树状拓扑为核心,将原有的单通道通信结构优化为多通道通信,为蒙特卡洛模拟技术的应用提供数据传输保障。蒙特卡洛模拟技术采集变电运行数据并进行评估,根据四项可靠性评估指标定位有用信息,以此增强监测图像细节,实现对变电运行状态的跟踪监测。测试结果表明:优化通信的监测系统在混合组网不同的通信条件下,时延抖动较小且稳定,致使获取的数据可靠性指标更高,在得到可视化数据后,可以根据曲线实时变化状态,准确监测不同变电设备的温度等指标。

Substation operation status monitoring is affected by different monitoring locations,complex monitoring lines and high similarity data,and the monitoring data is damaged due to blocked communication.A substation operation status monitoring system based on Monte Carlo simulation is studied.Based on the Internet of Things technology,an intelligent monitoring architecture consisting of the perception layer,the network layer,the platform layer and the application layer is constructed.With the tree topology as the core,the original single channel communication structure is optimized to multi-channel communication,providing data transmission guarantee for the application of Monte Carlo simulation technology.The Monte Carlo simulation technology collects and evaluates the operation data of the substation,locates the useful information according to the four reliability evaluation indicators,so as to enhance the details of the monitoring image and realize the tracking monitoring of the operation status of the substation.The test results show that the monitoring system for optimized communication has low and stable delay jitter under different communication conditions of mixed networking,resulting in higher data reliability indicators.After obtaining visual data,it can accurately monitor the temperature and other indicators of different substation equipment according to the real-time change state of the curve.