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Application Research Of Convolutional Neural Network In Image Denoising

Posted on:2020-07-10Degree:MasterType:Thesis
Country:ChinaCandidate:L YangFull Text:PDF
GTID:2392330572496803Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of social economy,peopled requirements for life are also constantly improving.Enterprises and residents demand more and more power,and the load of distribution network in power grid system is increasing day by day,so there are higher requirements for the quality of power.Photovoltaic system can convert solar energy into electric energy,but at the same time,it will generate voltage fluctuation after it is connected to the distribution network,which has a negative impact on power quality and power supply and consumption.Therefore,it is necessary to optimize the voltage fluctuation of the system by adjusting the voltage and reactive power,so as to improve the power quality and reduce the network loss.In view of the above problems,this paper studies the voltage and reactive power control strategies of distributed photovoltaic access system.The static var generator can be equivalent to a three-phase power supply with adjustable phase and size,which can continuously adjust the voltage,and then compensate the reactive power of the system.In order to further optimize the voltage regulation of power grid,an extermal penalty function algorithm is proposed based on the study of reactive power compensation of static var generator,and the optimal solution is obtained according to the algorithm.The main research contents are as follows:Firstly,it introduces the research background and significance of the article,expounds the cerrent situation of reactive power compensation at home and abroad,analyses the problems of voltage regulation,and leads to the research direction of this topic.Secondly,the working principle and characteristics of SVG are analyzed.According to the algorithm,the system voltage fluctuation is taken as the objective funetion,and the compensation capacity is taken as the constraint condition to solve the optimization problem,focusing on the selection of the capacity of SVG.In different network structures,which key nodes to arrange SVG SVG static var generator will control the electricity more effectively in the distribution network.Voltage fluctuation and loss reduction.Finally,the model based on the outer penalty function algorithm is analyzed by using the software platform of matlab.Taking the Jiangxia District of Wuhan as an example,the data of the area is brought into the algorithm for example verification,and the comparison of graphics before and after configuration is studied and verified.The experimental results show that the optimal placement method can effectively suppress the voltage fluctuation in the system.The experimental results prove the feasibility of the system.Figure[41]table[13]reference[50]...
Keywords/Search Tags:distributed photovoltaic(pv), Voltage reactive power control, Outer point penalty function, Optimizing the allocation of SVG
PDF Full Text Request
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