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Research And Implementation Of Key Technologies For Distributed Photovoltaic Network Operation And Maintenance

Posted on:2021-12-23Degree:MasterType:Thesis
Country:ChinaCandidate:G M DingFull Text:PDF
GTID:2492306608491214Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
The development of renewable energy is the general trend of global energy development.The most important source of renewable energy is solar energy.On the one hand,the global fossil energy is getting closer and closer to the severe situation of exhaustion,the climate is getting warmer and warmer,environmental pollution is serious and other ecological pressures;on the other hand,solar photovoltaic power generation technology continues to progress,industrialization technology is basically mature.In this context,relevant countries promulgated policies and regulations to strongly promote the world photovoltaic industry has entered a period of rapid development since the beginning of this century.According to statistics from the State Energy Administration,in 2017,53.06GW of new PV power plants will be installed in China.Among them,33.62GW of PV power stations,19.44GW of distributed PV power stations and 36.6%of the total installed capacity of distributed PV power stations will be installed,and the proportion of distributed PV will continue to rise.The rapid growth of the number of distributed photovoltaic power plants brings new topics on how to reduce operation and maintenance costs.Due to the small scale and scattered location of distributed photovoltaic power plants,the efficiency of maintenance by manpower patrol is low and the cost is huge,which will inevitably affect the investment income of distributed photovoltaic power plants.There are many factors affecting the efficiency of distributed photovoltaic power plants,including photovoltaic modules,inverters,grid-connected cabinets and other equipment factors,but also including lighting,weather,temperature and other environmental factors.It is difficult to intervene in operation and maintenance because of the decrease of efficiency caused by illumination,weather and equipment aging,but it can be improved by operation and maintenance such as equipment failure or surface cleanliness of photovoltaic modules.Faults in the operation of equipment can be found through inspection of equipment,PV module surface can be improved by cleaning cleanliness.However,in order to ensure the long-term stability of the system efficiency under the limited operation and maintenance budget,or to maintain the sustained and efficient operation of photovoltaic power plants to reduce the operation and maintenance costs,the construction of network operation and maintenance is an indispensable means.Distributed power plant operation and maintenance mainly includes preventive maintenance,periodic maintenance and periodic equipment performance testing.Network operation and maintenance is through the installation of sensors,the parameters and data will be collected through the Internet of Things to the platform,through the background analysis of the plant equipment health status and operational efficiency,gives the operation and maintenance strategy.However,in the actual construction of network operation and maintenance platform,there will be many problems involved,including the technical issues such as "how to effectively collect and analyze data" and the "cost-effective" investment returns of network platform construction.This paper will study some key technologies encountered in the construction of network operation and maintenance platform,and give some solutions and implementation.The main contents of the paper are as follows:The first chapter is the introduction.This paper mainly introduces the research background and objectives of this paper;combs the development status of distributed photovoltaic power plants and research status at home and abroad;puts forward the key technologies to achieve distributed photovoltaic network operation and maintenance;introduces the main research contents and research framework of this paper.The second chapter is the application function and software algorithm for network operation and maintenance platform.Firstly,the main functions of the platform are estimated from the point of view of operation and maintenance requirements.Then,taking the power generation efficiency of the system as the research object,the optimal strategy of guiding off-line maintenance frequency through on-line data analysis is studied,and the power generation efficiency prediction algorithm is proposed.The third chapter is the sampling point setting strategy of PV module,inverter and environment information.Firstly,from the point of view of network operation and maintenance,the requirements of photovoltaic components,inverters and other information are put forward.Then the specific situation of the company equipment selection is analyzed.Finally,the sampling point setting strategy is proposed according to the requirements and current situation.The fourth chapter is communication technology research and data acquisition terminal design.Firstly,this paper analyzes the communication technology of data acquisition terminal from the point of view of the functional requirements,sampling point requirements and operating environment of the operation and maintenance platform,and makes technical selection;secondly,it designs the schematic diagram of the data acquisition terminal;finally,it gives the data communication protocol between the data acquisition terminal and the operation and maintenance platform.The fifth chapter is the system implementation of distributed photovoltaic network operation and maintenance platform.This paper analyzes and designs the requirement,function and flow of the operation and maintenance platform as a whole and the main modules,develops the corresponding WEB system and mobile APP,and finally exemplifies the application of the system in the form of a case.The sixth chapter is summary and prospect.The main research contents and innovations of this paper are introduced,and the later research contents are prospected.
Keywords/Search Tags:distributed photovoltaic, network operation and maintenance, system efficiency, data acquisition and Internet of things
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