检索结果-南通市图书馆

An Efficient mppt Tracking in Solar PV System with Smart Grid Enhancement Using CMCMAC Protocol

Computer Systems Science & Engineering 2023年第11期47卷 2417-2437页

作者： B.Jegajothi Sundaram Arumugam Neeraj Kumar Shukla I.Kathir P.Yamunaa Monia Digra Saveetha School of Engineering SIMATSChennai602105India Department of Electrical and Computer Engineering Navajo Technical UniversityCrown PointNMUSA Department of Electrical Engineering King Khalid UniversityAbhaSaudi Arabia Department of EEE V.S.B.Engineering CollegeTamilnaduIndia Department of Electrical Engineering Peri Institute of TechnologyTamilnaduIndia Department of CSE Model Institute of Engineering and TechnologyJammuIndia

Renewable energy sources like solar,wind,and hydro are becoming increasingly popular due to the fewer negative impacts they have on the ***,Since the production of renewable energy sources is still in the process of being created,photovoltaic(PV)systems are commonly utilized for installation situations that are acceptable,clean,and *** study presents an adaptive artificial intelligence approach that can be used for maximum power point tracking(mppt)in solar systems with the help of an embedded *** adaptive method incorporates both the Whale Optimization Algorithm(WOA)and the Artificial Neural Network(ANN).The WOA was implemented to enhance the process of the ANN model’s training,and the ANN model was developed using the *** addition to this,the inverter circuit is connected to the smart grid system,and the strengthening of the smart grid is achieved through the implementation of the CMCMAC *** protocol prevents interference between customers and the organizations that provide their *** a protocol known as Cross-Layer Multi-Channel MAC(CMCMAC),the effect of interference is removed using the way that was ***,with the utilization of the ZIGBEE communication technology,bidirectional communication is made *** strategy that was suggested has been put into practice,and the results have shown that the PV system produces an output power of 73.32 KW and an efficiency of 98.72%.In addition to this,a built-in regulator is utilized to validate the proposed *** this paper,the results of various experiments are analyzed,and a comparison is made between the suggested WOA with the ANN controller approach and others,such as the Particle Swarm Optimization(PSO)based mppt and the Cuckoo Search(CS)based *** examining the comparison findings,it was determined that the adaptive AI-based embedded controller was superior to the other alternatives.

关键词： DC/DC converter mppt controller Artificial Neural Network(ANN)algorithm ZIGBEE communication CMCMAC protocol Smart Grid(SG)

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Maximum Power Point Tracker controller Using Fuzzy Logic Control with Battery Load for Photovoltaics Systems

引用

Smart Grid and Renewable Energy 2021年第10期12卷 163-181页

作者： Mazen Yeselam Baramadeh Mohamed Abd Almonem Abouelela Saad Mubarak Alghuwainem Electrical Engineering Department King Saud University Riyadh Saudi Arabia

The target of this paper is to model a Maximum Power Point Tracker (mppt) using a Fuzzy Logic Control (FLC) algorithm and to investigate its behavior with a battery load. The advantage of this study over other studies... 详细信息

The target of this paper is to model a Maximum Power Point Tracker (MPPT) using a Fuzzy Logic Control (FLC) algorithm and to investigate its behavior with a battery load. The advantage of this study over other studies in this field is that it considers a battery load rather than the commonly used resistive load especially when we deal with the relationship between MPPT and system load. The system is about 60 kW which is simulated under various environmental conditions by Matlab/Simulink program. For this type of non-linear application, FLC naturally offers a superior controller for the real load case. The artificial intelligence approach also benefits from this method for overcoming the complexity of nonlinear system modelling. The results show that FLC provides high performance for MPPT of PV system with battery load due to its low settling time and limited oscillation around the steady state value. These are assistant factors for increasing battery life.

关键词： mppt controller Fuzzy Logic Control PV System Matlab Simulink

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

mppt Design Using PSO Technique for Photovoltaic System Control Comparing to Fuzzy Logic and P&O controllers

引用

Energy and Power Engineering 2016年第11期8卷 349-366页

作者： O. Ben Belghith L. Sbita F. Bettaher Research Unit of Photovoltaic Wind and Geothermal Systems National Engineering School of Gabes (ENIG) University of Gabes Rue Omar Ibn-Elkhattab Zrig Gabes Tunisia Hatem Bettaher Research Unit of Computing Networks Communication Systems and Mathematics IResCoMath Higher Institute of In-formatics and Multimedia of Gabes (ISIMG) University of Gabes Gabes Tunisia

The Maximum Power Point Tracker (mppt) is the optimum operating point of a photovoltaic module. It plays a very important role to obtain the maximum power of a solar panel as it allows an optimal use of a photovoltaic system, regardless of irradiation and temperature variations. In this research, we present a novel technique to improve the control’s performances optimization of the system consisting of a photovoltaic panel, a buck converter and a load. Simulations of different parts of the system are developed under Matlab/Simulink, thus allowing a comparison between the performances of the three studied controllers: “Fuzzy TS”, “P&O” and “PSO”. The three algorithms of mppt associated with these techniques are tested in different meteorological conditions. The obtained results, in different operating conditions, reveal a clear improvement of controlling performances of mppt of a photovoltaic system when the PSO tracking technique is used.

关键词： Photovoltaic System mppt controller Buck Converter Perturb and Observe “P&O” Fuzzy Logic “Fuzzy TS” Particle Swarm Optimization “PSO”

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

High Performance Double-Interleaved Dual Boost Converter and 3 Phase Grid Connected Converter for Wind Turbine

引用

Journal of Energy and Power Engineering 2011年第5期5卷 438-446页

作者： K. Krajangpan B. Neammanee Department of Electrical Engineering Faculty of Engineering King Mongkut ＇s University of Technology Bangkok 10800 Thailand

This paper proposes a high performance double-interleaved dual boost （DIDB） technique to solve the problems of high ripple current, large inductor size and the requirement of step-up transformer in many case found in the conventional DC-DC boost converter. The 3-phase grid connected converter with decoupling control give an independent control between active and reactive power using the load current feed-forward. With this technique, the disturbance rejection and the output power quality can be improved. Experiments are conducted with three case studies： 1） a test of the DIDB converter to determine current ripple and voltage gain, 2） a test of the 3-phase grid connected converter to determine DC-link voltage regulation, power factor and total harmonic distortion （THD）, and 3） a test of the overall system with a 7.5 kW wind turbine simulator by step and various input wind speeds to determine the output power at the grid side and verify the maximum peak power tracking （mppt） performance. The results can confirm that the DIDB converter gives lower ripple current and higher voltage gain than the conventional converter. For the grid side, the 3-phase grid connected converter can regulate the DC-link with fast dynamic response to disturbance rejection and low overshoot while complying with the THD standard defined in IEEE 519-1992. In addition, the mppt controller is able to achieve the maximum energy capture with the various input wind speeds.

关键词： DIDB converter mppt controller grid connected converter wind turbine.

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Modeling and Control Maximum Power Point Tracking of an Autonomous Photovoltaic System Using Artificial Intelligence

引用

Energy and Power Engineering 2021年第12期13卷 428-447页

作者： Amadou Fousseyni Toure David Tchoffa Abderrahman El Mhamedi Badie Diourte Myriam Lamolle Equipe MGSI laboratoire Quartz IUT de Montreuil Montreuil France Faculté des Sciences et Techniques de Bamako Université des Sciences des Tecthniques et des Technologies de Bamako(USTTB) Bamako Mali

Despite investigative efforts seen in the literature, the maximum power point tracking remains again a crucial problem in photovoltaic system (PV) connected to the power grid. In this paper, a new maximum power point tracking technique which is our contribution to the resolution of this problem is treated. We proposed a hybrid controller of maximum power point tracking based on artificial neural networks. This hybrid controller is composed of two neural networks. The first network has two inputs and two outputs: the inputs are solar irradiation and ambient temperature and the outputs are the reference output voltage and current corresponding at the maximum power point. The second network has two inputs and one output: the inputs use the outputs of the first network and the output will be the periodic cycle which controls the DC/DC converter. The training step of neural networks requires two modes: the offline mode and the online mode. The data necessary for the training are collected from a very large number of real-time measurements of the PV module. The performance of the proposed method is analyzed under different operating conditions using the Matlab/Simulink simulation tool. A comparative study between the proposed method and the perturbation and observation approach was presented.

关键词： PV System mppt controller Artificial Neural Networks Matlab/Simulink

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：