Evaluation of On-Line MPPT Algorithms for PV-Based Battery Storage Systems  

作　　者：Belqasem Aljafari Eydhah Almatrafi Sudhakar Babu Thanikanti Sara A.Ibrahim Mohamed A.Enany Marwa M.Ahmed 

机构地区：[1]Electrical Engineering Department,College of Engineering,Najran University,Najran,11001,Saudi Arabia [2]Mechanical Engineering Department,College of Engineering-Rabigh,King Abdulaziz University,Jeddah,Saudi Arabia [3]K.A.CARE Energy Research and Innovation Center,King Abdulaziz University,Jeddah,21589,Saudi Arabia [4]Center of Excellence in Desalination Technology,King Abdulaziz University,Jeddah,Saudi Arabia [5]Department of Electrical and Electronics Engineering,Chaitanya Bharathi Institute of Technology,Hyderabad,500075,India [6]Electrical Power and Machines Department,Faculty of Engineering,Zagazig University,Zagazig,44519,Egypt [7]Electrical Engineering Department,Faculty of Engineering,King Abdul-Aziz University,Jeddah,80204,Saudi Arabia

出　　处：《Computers, Materials & Continua》2022年第11期3595-3611,共17页计算机、材料和连续体（英文）

基　　金：The Deanship of Scientific Research at Najran University has supported this work,under the General Research Funding program grant code(NU/-/SERC/10/650).

摘　　要：This paper presents a novel Simulink models with an evaluation study of more widely used On-Line Maximum Power Point tracking(MPPT)techniques for Photo-Voltaic based Battery Storage Systems(PV-BSS).To have a full comparative study in terms of the dynamic response,battery state of charge(SOC),and oscillations around the Maximum Power Point(MPP)of the PV-BSS to variations in climate conditions,these techniques are simulated in Matlab/Simulink.The introduced methodologies are classified into two types;the first type is conventional hill-climbing techniques which are based on instantaneous PV data measurements such as Perturb&Observe and Incremental Conductance techniques.The second type is a novel proposed methodology is based on using solar irradiance and cell temperature measurements with pre-build Adaptive Neuro-Fuzzy Inference System(ANFIS)model to predict DC–DC converter optimum duty cycle to track MPP.Then evaluation study is introduced for conventional and proposed On-Line MPPT techniques.This comparative study can be useful in specifying the appropriateness of the MPPT techniques for PV-BSS.Also the introduced model can be used as a valued reference model for future research related to Soft Computing(SC)MPPT techniques.A significant improvement of SOC is achieved by the proposed model and methodology with high accuracy and lower oscillations.

关 键 词：Photo-voltaic based battery storage systems adaptive neuro-fuzzy inference system maximum power point tracking perturb&observe technique incremental conductance technique state of charge 

分 类 号：TM912[电气工程—电力电子与电力传动]