Design, Control, Management, and Performance Analysis of PV-Battery Supercapacitor DC-System Using Buck Converter

2022 ◽  
pp. 36-64
Author(s):  
Yasmine Amara ◽  
Zoulikha Tebri ◽  
Zina Larabi
Keyword(s):  
Buck Converter ◽  
Storage Devices ◽  
Dc System ◽  
Point Tracking ◽  
Management Algorithm ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Model Control ◽  
And Performance ◽  
Power Point

The intermittent nature of photovoltaic energy necessitates the incorporation of storage devices to ensure the continuality of loads feeding. In addition, it is important to model, control, and verify the operating of the designed system before implementation. Furthermore, the integration of power electronic interfaces plays a significant role in protecting the system and benefiting from solar energy. To this end, a buck converter is chosen to charge the battery and supply the supercapacitor. The control strategy is based on the maximum power point tracking techniques when the management algorithm recommends MPPT function mode. Otherwise, a feedback constant voltage PI controller is designed. Indeed, perturb and observe and incremental conductance are implemented and compared to analyze the system efficiency within the management strategy to charge the battery, switch between the controllers, and feed a supercapacitor in case of full battery charge. The obtained results using MATLAB/SIMULINK platform confirm the behaviour of the proposed strategy.

Investigation on a Modified 11-Level Cascaded Inverter Fed by Photovoltaic Array for Standalone Applications

2014 ◽  
Vol 137 (2) ◽  
Author(s):  
R. Sridhar ◽  
S. Jeevananthan ◽  
S. S. Dash ◽  
Kiran Vemula
Keyword(s):  
Great Influence ◽  
Buck Converter ◽  
Maximum Power ◽  
Pv System ◽  
Photovoltaic Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Power Point ◽  
Power Capability

This paper suggests a modified 11-level reduced switch inverter fed by photovoltaic (PV) array feeding standalone AC loads. Multilevel inverters (MLIs) have great influence in distributed power system due to their high power capability with reduced harmonic content. Among the various topologies of MLI, cascaded MLIs are widely adopted for PV applications since batteries charged by PV panels can serve as DC voltage sources for MLI. The PV system charges the batteries through a buck converter, controlled by a smart perturb and observe (P&O) maximum power point tracking (MPPT) technique. The perturb and observe MPPT described in this work is capable of not only extracting maximum power from the panel but also regulate the charging mechanism of the battery. This work also aims at enhancing the performance of existing reduced switch topology, which is having higher harmonic and switching complexity by adopting a structural change. This topology uses less number of controlled switches compared to the existing method which aids in reducing losses and switching complexity. In addition to that, with a reduced switch count, it can be configured and realized easily. The proposed work is successfully realized in Matlab/Simulink and hardware environment. The simulation and hardware results prove that proposed work is highly viable.

A Modified MPPT Method for Photovoltaic System

2012 ◽  
Vol 430-432 ◽  
pp. 1348-1351
Author(s):  
Yu Shui Huang ◽  
Yan Jie Wei ◽  
Xue Chen
Keyword(s):  
Environmental Factors ◽  
Transient State ◽  
Photovoltaic System ◽  
Pv System ◽  
Maximum Power Point ◽  
Pv Array ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Power Point

The output of photovoltaic (PV) array is affected by the environmental factors such as irradiation and temperature, so an effective maximum power point tracking (MPPT) method of PV array is necessary. In this paper, a modified perturb and observe (MPO) method is proposed to achieve MPPT for a PV system and to improve the shortcomings of prior methods. Comparing with a typical perturb and observe (P&O) MPPT method, the MPO efficiency is improved in transient state by the proposed MPPT as theoretical prediction.

Sign in / Sign up

Export Citation Format

Share Document