【作者】 张洁；

【导师】 孙霞；

【作者基本信息】 安徽理工大学 ， 电气工程（专业学位）， 2024， 硕士

【摘要】 现如今,人们的日常生活及社会发展都离不开用电,电力系统的供电安全与维护尤为重要。在电力系统中,每个电气设备都有其自身的价值及意义,且具有不同的功能。PT柜作为配电网中的一项不可或缺的电气设备,为监测仪表以及保护装置供电,测量线路的电压、功率和电能,保护线路中的贵重设备。随着电力行业的进步以及用电量的增加,PT柜发生故障概率随之增加,一旦发生故障,必定会对整个电力系统带来影响。因此,为了能够减少故障发生,维护电网安全,本文结合传感器与无线传输技术,设计了PT柜状态监测系统对PT柜内环境数据采集并进行实时监测,以提前发现PT柜的安全隐患。本文主要通过PT柜故障案例总结出故障原因,建立基于模糊Petri网的PT柜故障分析模型,利用模糊推理原则对PT柜故障进行推理分析,根据故障推理结果提出状态监测系统,对PT柜内电压互感器本身以及环境参数进行监测。建立PT柜状态监测系统运行流程的Petri网模型,并在PIPE软件中进行仿真分析,结果表明了该监测系统运行的可行性与合理性。硬件以STM32为主控制器,通过各传感器实现对PT柜内环境温湿度、烟雾浓度以及电压互感器温度的数据采集,将Lo Ra传输技术与4G传输技术相结合,借助MQTT协议与开发的阿里云平台建立通信连接,实现数据的远程监控与存储,使数据可视化。使用Keil完成软件开发,并在软件设计中设定电压互感器温度、环境温湿度、烟雾浓度阈值,要求当采集数据超过阈值时系统能发生报警,阿里云平台可实时监测并存储,工作人员可通过曲线以及表格的方式对以往数据进行查看。对PT柜状态监测系统进行整体试验,完成数据采集与传输。通过试验验证了数据采集的准确性与数据传输的可靠性,以及该系统能够实现对PT柜的实时监测并预警的功能,符合基本的预期目标,这对提高电力系统运行的安全性,推进电力系统的智能化具有重要意义。图[71]表[7]参[80]更多还原

【Abstract】 The modern society is heavily reliant on electricity for daily life and social development,making the security and maintenance of the power supply system particularly crucial.Each electrical equipment in the power system holds its own value and significance,serving different functions.As an essential component in the distribution network,the PT cabinet provides power to monitoring instruments and protection devices,measures line voltage,power,and electric energy,as well as safeguards valuable equipment.With advancements in the power industry and increasing electricity consumption,the fault probability of the PT cabinet increases gradually.Such failures can significantly impact the entire power system.To mitigate faults and ensure grid safety,this paper proposes a PT cabinet condition monitoring system that integrates sensor technology with wireless transmission to collect real-time environmental data within the PT cabinet for early detection of potential safety risks.This paper mainly summarizes the fault reasons through the fault cases of PT cabinet,establishes the fault analysis model of PT cabinet based on fuzzy Petri net,uses fuzzy reasoning principles to carry out fault reasoning of PT cabinet.According to the result of fault inference,a condition monitoring system is proposed to monitor the voltage transformer itself and the environmental parameters in PT cabinet.The Petri net model of the operation flow of PT cabinet condition monitoring system is established,and the simulation analysis is carried out in PIPE software to verify the feasibility and rationality of the monitoring system.With STM32 as the main controller,the data collection of ambient temperature,humidity,smoke concentration and voltage transformer temperature is realized through various sensors in the PT cabinet.Lo Ra transmission technology is combined with 4G transmission technology,and the communication connection is established with the developed Ali Cloud platform by MQTT protocol,so as to realize the remote monitoring and storage of data and make the data visualization.The software was developed in Keil and the threshold values of voltage transformer temperature,ambient temperature and humidity,and smoke concentration were set in the software design.When the collected data exceeded the threshold values,the system was required to generate alarms.Ali Cloud platform could monitor and store the collected data in real time,and the staff could view the previous data through curves and tables.The PT cabinet condition monitoring system is tested as a whole,and the data collection and transmission are completed.The accuracy of data acquisition and reliability of data transmission are verified by the test,and the system can realize the realtime monitoring and early warning function of the PT cabinet,which meets the basic expected objectives,which has important significance for improving the safety of the operation of the power system and promoting the intelligence of the power system.Figure [71] Table [7] Reference [80]更多还原