Research On The Optimization And Operation Control For PV Micro-Grid

This paper mainly analyzes the control strategy of photovoltaic micro-grid and studies the economic benefits and environmental benefits of photovoltaic power generation systems with a set of actual photovoltaic roof systems.And the ratio function of inclined plane and horizontal plane under different irradiance levels is given.Use of support vector machine method to predict the amount of photovoltaic power generation,as follows:The first chapter introduces the concept of photovoltaic micro-grid and the status of development at home and abroad and the development status of photovoltaic industry.Simultaneously analyzes and summarizes the types of distributed power and its characteristics.And some new types of solar cells such as perovskite and dye-sensitization have been developed.The second chapter is mainly studied the impact of the Maximum Power Tracking output of the photovoltaic power generation system on the power generation efficiency,energy utilization rate and operating cost of the system.Irradiance,temperature and other external environment mutation can always affect the output power of PV system.There are some limitations in tracking velocity,tracking accuracy and environment mutation for the existing maximum power point tracking model of solar photovoltaic systems.Therefore,we exploited the virtues of fast response speed and good robustness,the front stage uses the Boost converter,presented a novel sliding mode control with the considerate equivalent control law to improve the defect.We can see from the results of Simulink,the time of maximum power point tracking reduced to6e-4s,Total Harmonics Distortion(THD)of single-phase grid-connected and three-phase grid-connected can be decreased to 0.47% and 2.32%,respectively.The third chapter mainly analyzed due to the diversity of distributed generation,operating characteristics of a great gap,the operating environment is more complex the control of the micro-grid can not only increase the reliability of the system,but also indirectly and effectively improve their economic and environmental benefits.In this paper,mainly summary and analyzes the different micro-grid control characteristics and control strategy.In the end,discusses the key technology of micro-grid control and its prospects and challenges.The fourth chapter mainly manages to calculate radiant exposure ratio every year's 5°/0°,0°/0°,15°/0°,20°/0°and 25°/0°in Shanghai area by many years data monitoring,collecting and correcting.The author also caculate the ratio expression in different radiant exposure level by researching radiant exposure every month in similar latitudes.The fifth chapter is mainly focuses on the information that needs to be surveyed in the early stage of the design of PV system,the capacity of off-grid and grid-connected systems,the number of series and parallel modules,the capacity of battery and so on.In addition,by using life-cycle assessment(LCA),the investigation results of the energy payback time(EPBT),the energy return on investment(EROI),the greenhouse gas per kilowatt hour(GHG/kWh)and the greenhouse-gas payback time(GPBT)of the system are applied to assess its sustainability.At the same time,it analyzes the impact of subsidy programs in different places on the economic benefits and comprehensive benefits of PV.PM 2.5 and dust also have a great impact on environmental benefit in the life cycle of PV systems.The avoided emission and environmental value of dust and PM 2.5 is also calculated.The sixth chapter mainly on the photovoltaic system power generation research,due to the generation photovoltaic power is mainly by the impact of solar radiation intensity,and other factors such as cloudiness,temperature and wind can also have some impact.In order to reduce the impact of distributedgrid on the grid when it is connected to the grid,and conducive to power dispatching,it is need to effectively predict the electricity of the photovoltaic system.In this section,support vector machine(SVM)method is used to train and forecast the daily generation of historical PV data of a real power system.The seventh chapter summarizes the above,and summarizes the difficulties currently facing PV market and the key issues to be solved.Prospects for the future development of PV systems and technological innovation.