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Research On On-line Monitoring System Of Photovoltaic Power Generation For Railway Transportation Enterprises

Posted on:2020-08-26Degree:MasterType:Thesis
Country:ChinaCandidate:R Y SiFull Text:PDF
GTID:2392330575998316Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Railway transportation enterprises have long lines of operation.They have a large number of roofs and land to install photovoltaic systems,such as stations and depots,railway lines,etc.The research significance of this paper lies in the application of photovoltaic power generation technology in a large number of railway transport enterprises.It is found that although the application of photovoltaic power generation system in railway transport enterprises has monitoring,the monitoring mode is aging,and it is difficult to achieve remote and online monitoring,diagnosis,positioning and early warning functions.As a result,part of the operation and maintenance work still needs to adopt manual methods.By establishing a stable and reliable on-line monitoring system for photovoltaic power generation,collecting the operation data of photovoltaic power plants,and using monitoring data analysis as an important method to ensure the normal operation of photovoltaic power generation and locate the deteriorated photovoltaic modules,the construction and operation cost of photovoltaic power plants can be effectively reduced.In this dissertation,the on-line monitoring technology and data analysis technology of photovoltaic power generation for railway transport enterprises are studied,relying on the key subject of the scientific and technological research and development plan of China Railway Corporation in 2017,"Research on the application technology scheme and policy norms of photovoltaic power generation for railway transport enterprises"(subject number:BX55).The main work of this paper is as follows:(1)Real-time data acquisition:In the analysis of the whole life cycle operation and benefits of photovoltaic power generation system,the relevant data of photovoltaic power generation system is needed.After researching the real-time data acquisition technology,this paper develops a front-end real-time data acquisition system to meet the demand of photovoltaic power generation system.It collects the photovoltaic power generation system,output voltage and current,power generation,photovoltaic cell temperature and environmental temperature,etc.It solves the problem of lack of field operation data of photovoltaic power generation system,and can guarantee the analysis of monitoring data.Photovoltaic power generation is an important means for normal operation,detection and location of deteriorated areas.(2)On-line monitoring:In the part of on-line monitoring and development,this dissertation solves the problems of high communication cost(NB-Iot),short communication distance(ZigBee),inability to adapt to multi-node deployment and the adaptability of multi-type photovoltaic power generation system to photovoltaic monitoring system by introducing long-distance and low-power LoRa communication mode to connect the field wireless monitoring device.The real-time acquisition and transmission of various types of data in photovoltaic power generation system is now realized.Through the low-power design of the temperature acquisition device,the long-time operation under the power supply of lithium battery is realized,and the power supply problem of the acquisition device is solved.Meanwhile,the real-time communication between the front-end data acquisition device and the remote server is solved by using GPRS wireless technology.(3)Analysis and statistical technology:Fusion analysis of data obtained from on-line monitoring,statistics of daily maximum power generation,average power generation,monthly average power generation,irradiance,temperature and wind speed and other related data in spring,summer,autumn and winter.The influencing factors and life cycle benefits of photovoltaic power generation are analyzed.
Keywords/Search Tags:hotovoltaic power generation, On-line monitoring, LoRa, Correlation analysis, Benefit analysis
PDF Full Text Request
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