Design and Modeling of High Power DC-DC Boost Converter for Solar Photovoltaic System

Author(s):  
Rahul Raj Kar ◽  
Md. Aftab Alam
2020 ◽  
Vol 13 (9) ◽  
pp. 1848-1857
Author(s):  
Norhassanah Osman ◽  
Mohamad Fathi Mohamad Elias ◽  
Nasrudin Abd. Rahim

This research paper presents Maximum PowerPoint Tracking method used in solar photovoltaic grid connected PV system under different solar radiation and temperature. As because the output of the PV panel is non- linear hence current and voltage of the solar PV panel behaves as a non-linear characteristic which ultimately depends upon environmental parameter and thereby causing change is maximum output power of the PV panel. At different environmental condition the solar photovoltaic set its MPP. In order to operate the PV system at different MPP so as to extract the maximum available power it is required to control the buck-boost converter proportional to the output level of the PV panel. In this paper fuzzy logic based MPPT has implemented whose output is fed to the boost converter for increasing the efficiency of the system. PI controller is used as a current control technique for obtaining satisfactory performance. The goal of this paper is to achieve higher efficiency from solar photovoltaic system by operating the system at its MPP. MATLAB Simulink is used to model the solar photovoltaic system. The result obtained fro the simulation can be implemented in Homer for optimizing the fuel cost


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Varaprasad Janamala

AbstractA new meta-heuristic Pathfinder Algorithm (PFA) is adopted in this paper for optimal allocation and simultaneous integration of a solar photovoltaic system among multi-laterals, called interline-photovoltaic (I-PV) system. At first, the performance of PFA is evaluated by solving the optimal allocation of distribution generation problem in IEEE 33- and 69-bus systems for loss minimization. The obtained results show that the performance of proposed PFA is superior to PSO, TLBO, CSA, and GOA and other approaches cited in literature. The comparison of different performance measures of 50 independent trail runs predominantly shows the effectiveness of PFA and its efficiency for global optima. Subsequently, PFA is implemented for determining the optimal I-PV configuration considering the resilience without compromising the various operational and radiality constraints. Different case studies are simulated and the impact of the I-PV system is analyzed in terms of voltage profile and voltage stability. The proposed optimal I-PV configuration resulted in loss reduction of 77.87% and 98.33% in IEEE 33- and 69-bus systems, respectively. Further, the reduced average voltage deviation index and increased voltage stability index result in an improved voltage profile and enhanced voltage stability margin in radial distribution systems and its suitability for practical applications.


2020 ◽  
Vol 29 (15) ◽  
pp. 2050246 ◽  
Author(s):  
B. N. Ch. V. Chakravarthi ◽  
G. V. Siva Krishna Rao

In solar photovoltaic (PV)-based DC microgrid systems, the voltage output of the classical DC–DC converter produces very less voltage as a result of poor voltage gain. Therefore, cascaded DC–DC boost converters are mandatory for boosting the voltage to match the DC microgrid voltage. However, the number of devices utilized in the DC–DC conversion stage becomes higher and leads to more losses. Thereby, it affects the system efficiency and increases the complication of the system and cost. In order to overcome this drawback, a novel double-boost DC–DC converter is proposed to meet the voltage in DC microgrid. Also, this paper discusses the detailed operation of maximum power point (MPP) tracking techniques in the novel double-boost DC–DC converter topology. The fundamental [Formula: see text]–[Formula: see text] and [Formula: see text]–[Formula: see text] characteristics of solar photovoltaic system, operational details of MPP execution and control strategies for double-boost DC/DC converter are described elaborately. The proposed converter operation and power injection into the DC microgrid are verified through the real-time PSCAD simulation and the validation is done through the experiment with hardware module which is indistinguishable with the simulation platform.


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