Solar PV Technology based PMSM driven Water Pumping System with Switched-LC Converter

2020 ◽  
Author(s):  
Rasna Rajan ◽  
Muhammed Ramees M.K.P
Keyword(s):  
Solar Pv ◽  
Pumping System ◽  
Water Pumping

scholarly journals A Novel DC-DC Converter Based Closed Loop Control of BLDC Motor for SPV fed Water Pumping System

2020 ◽  
Vol 06 (09) ◽  
pp. 240-247
Author(s):  
V Mounika and Tejavath Suhasini
Keyword(s):  
Closed Loop ◽  
Maximum Efficiency ◽  
Closed Loop Control ◽  
Solar Photovoltaic ◽  
Bldc Motor ◽  
Solar Pv ◽  
Efficient Operation ◽  
Loop Control ◽  
Pumping System ◽  
Water Pumping

This Paper Presents Novel DC-DC Converter Based Closed Loop Control of BLDC Motor for SPV fed Water Pumping System Solar Photovoltaic (SPV) Array fed Water pumping System Utilizing Buck-boost DC-DC Converter in order to extract the maximum available power from Solar system. Solar energy has the greatest availability compared to other energy sources. For such solar PV systems, maximum power point tracking control is preferred for efficient operation. This concept is dealing with INC method which is one of the MPPT methods. This study deals with a buck–boost converter controlled solar photovoltaic (SPV) array fed water pumping in order to achieve the maximum efficiency of an SPV array and the soft starting of a permanent magnet brushless DC (BLDC) motor. The current sensors normally used for speed control of BLDC motor are completely eliminated. The speed of BLDC motor is controlled through the variable DC-link voltage of a voltage-source inverter (VSI). The VSI is operated by fundamental frequency switching, avoiding the losses due to high-frequency switching, in order to enhance the efficiency of the proposed system.

scholarly journals Simulation-Based Coyote Optimization Algorithm to Determine Gains of PI Controller for Enhancing the Performance of Solar PV Water-Pumping System

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4473
Author(s):  
Jouda Arfaoui ◽  
Hegazy Rezk ◽  
Mujahed Al-Dhaifallah ◽  
Mohamed N. Ibrahim ◽  
Mami Abdelkader
Keyword(s):  
Time Domain ◽  
Optimization Algorithm ◽  
Optimization Problem ◽  
Maximum Power ◽  
Solar Pv ◽  
Rotor Speed ◽  
Proportional Integral ◽  
Pumping System ◽  
Water Pumping ◽  
Simulation Based

In this study, a simulation-based coyote optimization algorithm (COA) to identify the gains of PI to ameliorate the water-pumping system performance fed from the photovoltaic system is presented. The aim is to develop a stand-alone water-pumping system powered by solar energy, i.e., without the need of electric power from the utility grid. The voltage of the DC bus was adopted as a good candidate to guarantee the extraction of the maximum power under partial shading conditions. In such a system, two proportional-integral (PI) controllers, at least, are necessary. The adjustment of (Proportional-Integral) controllers are always carried out by classical and tiresome trials and errors techniques which becomes a hard task and time-consuming. In order to overcome this problem, an optimization problem was reformulated and modeled under functional time-domain constraints, aiming at tuning these decision variables. For achieving the desired operational characteristics of the PV water-pumping system for both rotor speed and DC-link voltage, simultaneously, the proposed COA algorithm is adopted. It is carried out through resolving a multiobjective optimization problem employing the weighted-sum technique. Inspired on the Canis latrans species, the COA algorithm is successfully investigated to resolve such a problem by taking into account some constraints in terms of time-domain performance as well as producing the maximum power from the photovoltaic generation system. To assess the efficiency of the suggested COA method, the classical Ziegler–Nichols and trial–error tuning methods for the DC-link voltage and rotor speed dynamics, were compared. The main outcomes ensured the effectiveness and superiority of the COA algorithm. Compared to the other reported techniques, it is superior in terms of convergence rapidity and solution qualities.

scholarly journals Decentralized T-S Fuzzy Control for Solar PV Powered Water Pumping System Driving by Induction Motor

2020 ◽  
Vol 22 (4-5) ◽  
pp. 301-311
Author(s):  
Zeineb Ben Safia ◽  
Moez Allouch ◽  
Mohamed Chaabane
Keyword(s):  
Induction Motor ◽  
Fuzzy Controller ◽  
Boost Converter ◽  
Climatic Conditions ◽  
Solar Irradiation ◽  
Solar Pv ◽  
Pumping System ◽  
Point Tracking ◽  
Water Pumping ◽  
Power Point

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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