Research On The Optimization Of Deployment And Connection Of Photovoltaic System Based On Building Information Modeling

The demand for energy,especially the electricity,is increasing obviously with the rapid growth of the economy and society.Most of the previous electricity resources are acquired through the form of fossil fuel combustion.However,this mode will not only consume a lot of natural resources,but also impact negative effects on the surrounding environment such as greenhouse effect and heat pollution.The exploration and development of photovoltaic power is a new way of energy utilization,in addition to cutting down the excessive dependence on fossil fuels,making good use of solar energy will also produce higher economic benefits.Rooftop photovoltaic system is one of the important forms of distributed photovoltaic system.Like other distributed photovoltaic systems,due to the surrounding environment(such as trees,buildings and poles),rooftop photovoltaic systems are sensitive to partial shadows,leading to the power output decrease and reducing the revenue of photovoltaic systems.To this partial shadow problem of the photovoltaic system,there are two kinds of traditional practices: on the one hand,by designing the maximum power point tracking algorithm to reduce the partial shadow,which can be easily trapped in the local maximum power point,resulting in dropping of output power;on the other hand,through analysizing and improving the routing mode(or topological structure)of photovoltaic systems,however,but only part of the experiment,not implemented in software.In order to minimize the effects of partial shading on the output power of photovoltaic system,then realize the optimization of photovoltaic system installation and connection,the paper proposes a photovoltaic optimized deployment and connection scheme based on the building information modeling.Firstly,we transform the partial shaded occlusion issues of photovoltaic power generation system into a concrete model problem.Aiming at the photovoltaic optimization problem,in this paper by constructing the building information modeling in the BIM design software Revit,we turn the problem into the optimized deployment and connection of the installation area,the photovoltaic panels in this paper are replaced by the Revit family files.Secondly,we design and implement optimized deployment scheme.By the establishment of solar model,we can evaluate the solar irradiance level of the deployment area in a year easily and precisely and also we construct the deployment algorithm preliminary.As with the pertinence of the deployment scheme,avoiding falling into the local optimal state,the classic algorithm is improved to assist the obtain the optimized deployment scheme.Considering the time and efficiency of the deployment scheme,the design of the paper adopts the idea of parallelization.Finally,the optimization of the connection scheme is realized on the fixed deployment scheme.Through consulting the relevant hardware knowledge and referring to the basic structure of photovoltaic cells,a photovoltaic simulation model is built on the MATLAB and also we complete the design of the simulation scripts.By changing the connection mode of photovoltaic panels,we get the power characteristic curves of different photovoltaic clusters(more than two photovoltaic panels connected),and calculate the annual average generation capacity of photovoltaic clusters.By comparing the power generation of the classic connection scheme,the connection scheme with the highest generating capacity is regarded as the optimized connection scheme.Then,with the help of the program design,the optimized connection of the photovoltaic array is realized on the Revit platform.