Solar PV fed SIDO modified buck-boost converter for SRM driven irrigation pump

Author(s):  
Anjanee Kumar Mishra ◽  
Bhim Singh
Keyword(s):  

The grail of this paper is to investigate the performance of various DC-DC converters for solar based water pump system incorporating switched reluctance motor drive. The Converters used are CUK converter, Buck-Boost converter and Boost converter respectively. The speed of the switched reluctance motor is regulated by the mid-point converter along with the various DC-DC converters. The Switched reluctance motor is adopted over other motors because of its low inertia, ease of control, speed range is wide, less losses as there is no windings nor permanent magnets Present on the rotor. In order to operate the solar PV array at its optimum level we employ maximum power point tracking (MPPT) and specifically Perturb and Observe control method is employed in this project. The proposed system deals with the design, modeling and simulation of three different types of converters using MATLAB/Simulink environment. The applicability of this system can be analyzed by the simulated results.



Author(s):  
Oumnia Lagdani ◽  
Mourad Trihi ◽  
Badre Bossoufi

The purpose of this article is to extract the maximum power point at which the photovoltaic system can operate optimally. The system considered is simulated under different irradiations (between 200 W/m<sup>2</sup> and 1000 W/m<sup>2</sup>), it mainly includes the established models of solar PV and MPPT module, a DC/DC boost converter and a DC/AC converter. The most common MPPT techniques that will be studied are: "Perturbation and Observation" (P&amp;O) method, "Incremental Conductance" (INC) method, and "Fuzzy Logic" (FL) control. Simulation results obtained using MATLAB/Simulink are analyzed and compared to evaluate the performance of each of the three techniques.



2020 ◽  
Vol 22 (4-5) ◽  
pp. 301-311
Author(s):  
Zeineb Ben Safia ◽  
Moez Allouch ◽  
Mohamed Chaabane

This paper presents a decentralized Takagi Sugeno (T-S) control scheme for a PV powered water pumping system, which is composed of a photovoltaic generator (PVG) supplying via a DC-DC boost converter, a DC-AC inverter, an Induction Motor coupled to a centrifugal pump. A T-S fuzzy controller is developed for MPPT (Maximum Power Point Tracking) to control the DC-DC boost converter, under variable solar irradiation and ambient temperature. An observer-based T-S fuzzy controller is dedicated to control the IM to guarantee the field-oriented control performances. From the optimal PV power provided in the MPP conditions, the optimal speed is calculated and delivered to control the IM, so that the proposed PV pumping system operates in optimal conditions and thus, maximizes the quantity of water pumped daily. Finally, simulation results are presented for both transient and steady state operation while taking into account all changes in climatic conditions, in order to validate the efficiency of the developed decentralized controller.



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