scholarly journals Design of Efficient Off-Grid Solar Photovoltaic Water Pumping System Based on Improved Fractional Open Circuit Voltage MPPT Technique

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Ali Hmidet ◽  
Umashankar Subramaniam ◽  
Rajvikram Madurai Elavarasan ◽  
Kannadasan Raju ◽  
Matias Diaz ◽  
...  

The main application of off-grid solar photovoltaic (SPV) systems is water extraction in rural areas where access to the grid is restricted. In this application, photovoltaic (PV) and pump system regulation are crucial to increase its overall efficiency. In this context, this work presents a simple and efficient off-grid SPV water pumping system (SPVWPS). The designed system is based on a DC-DC boost converter, a three-phase DC-AC inverter, and a three-phase induction motor (IM) coupled to the centrifugal pump. The proposed solution is operated using a control strategy that associates an improved fractional open-circuit voltage (FOCV) method for maximum power point tracking (MPPT) and closed-loop scalar control. This association avoids the use of a speed sensor/encoder and a current sensor for the IM. Finally, the effectiveness of the proposed off-grid SPVWPS and its control system for both steady-state and dynamic conditions of insolation change is verified using a 1KVA rated prototype. The relevance of the drive is also checked in various operating conditions and is found to be adequate for pumping water. Moreover, the proposed method guarantees a fast response, less oscillations around the MPP, a system efficiency of 99%, and a high flow rate due to the extraction of maximum power.

2020 ◽  
Vol 14 (2) ◽  
pp. 194-204
Author(s):  
Anuradha Tomar

Background: Despite so many developments, most of the farmers in the rural areas are still dependent on rainwater, rivers or water wells, for irrigation, drinking water etc. The main reason behind such dependency is non-connectivity with the National grid and thus unavailability of electricity. To extract the maximum power from solar photovoltaic (SPV) based system, implementation of Maximum Power Point Tracking (MPPT) is mandatory. PV power is intermittent in nature. Variation in the irradiation level due to partial shading or mismatching phenomena leads to the development of modular DC-DC converters. Methods: A stand-alone Multi-Input Dual-Output (MIDO) DC-DC converter based SPV system, is installed at a farm; surrounded with plants for water pumping with stable flow (not pulsating) along with battery energy storage (BES) for lighting. The proposed work has two main objectives; first to maximize the available PV power under shadowing and mismatching condition in case of series/ parallel connected PV modules and second is to improve the utilization of available PV energy with dual loads connected to it. Implementation of proposed MIDO converter along with BES addresses these objectives. First, MIDO controller ensures the MPPT operation of the SPV system to extract maximum power even under partial shading condition and second, controls the power supplied to the motor-pump system and BES. The proposed system is simulated in MATLAB/ SIMULINK environment. Real-time experimental readings under natural sun irradiance through hardware set-up are also taken under dynamic field conditions to validate the performance. Results and Conclusion: The inherent advantage of individual MPPT of each PV source in MIDO configuration, under varying shadow patterns due to surrounding plants and trees is added to common DC bus and therefore provides a better impact on PV power extraction as compared to conventional PV based water pumping system. Multi-outputs at different supply voltages is another flag of MIDO system. Both these aspects are implemented and working successfully at 92.75% efficiency.


Author(s):  
Santosh S. Raghuwanshi ◽  
Vikas Khare

<p>Solar photovoltaic systems convert energy of light directly into electrical<br />energy. This work presents, a process to compute the required size of the<br />stand-alone solar photovoltaic generator based water pumping system<br />for an existing area. In addition solar photovoltaic generator is<br />connecting voltage source inverter fed vector controlled induction<br />motor-pump system. Perturb and observe are used for harvesting<br />maximum power of PV generator in between buck-boost DC converter<br />and inverter system. In this paper system result is validated by fuzzy<br />logic system and compare with variable frequency drives based PI<br />controllers, driving motor-pump system. The operational performance<br />at 60 m head, VFD based controllers in terms overshoot and setting time<br />and also analysis performance of motor-pump set under different<br />weather conditions. By assessment of system we find that speed and<br />torque variation, overshoot and settling time is more with PI controller,<br />Fuzzy logic controller (FLC) performance have dominance to VFD<br />based PI controller.</p>


Mathematics ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 1123 ◽  
Author(s):  
Arfaoui ◽  
Rezk ◽  
Al-Dhaifallah ◽  
Elyes ◽  
Abdelkader

Renewable energy is an attractive solution for water pumping systems particularly in isolated regions where the utility grid is unavailable. An attempt is made to improve the performance of solar photovoltaic water pumping system (SPVWPS) under partial shading condition. Under this condition, the power versus voltage curve has more than one maximum power point (MPP), which makes the tracking of global MPP not an easy task. Two MPP tracking (MPPT) strategies are proposed and compared for tracking MPP of SPVWPS under shading condition. The first method is based on the classical perturb and observe (P&O) and the other method is based on a Salp Swarm Algorithm (SSA). Based on extensive MATLAB simulation, it is found that the SSA method can provide higher photovoltaic (PV) generated power than the P&O method under shading condition. Consequently, the pump flowrate is increased. But, under normal distribution of solar radiation, both MPPT techniques can extract the maximum power but SSA is considered a time-consuming approach. Moreover, SSA is compared with particle swarm optimization (PSO) and genetic algorithm (GA). The obtained results ensure the superiority of SSA compared with PSO and GA. SSA has high successful rate of reaching true global MPP.


Author(s):  
A Lalithasyamala and Dr.D Ravi Kishore

In this paper, analysis of solar power fed Brushless DC motor (BLDC) motor drive with a boost converter is presented for water pumping application in irrigation system. Nowa days, the usage of renewable PV source is increasing gradually, due to the encouragement of eco-friendly energy sources by providing subsidies for the installation in the initial states. In the agricultural sector, the water pump system requires a 3-ϕ power supply, for that we need a separate transmission line and transformers to meet the load demand. In this paper, a solar power fed BLDC motor water pumping system with boost converter and Voltage source Inverter (VSI) is presented which reduces the converter switch stress by increasing the voltage transfer gain ratio. VSI needs a huge dc link capacitor that is inherently unreliable and is one of the most expensive components of a drive.A MPPT controller is required to extract maximum power from the high penetrating renewable PV source and also proposes the Current source inverter (CSI) fed water pumping system is developed and examine with same operating conditions. A comparative analysis view in existing method of system replace the VSI with CSI. The performance of system is analyzed with speed settling times at same operating conditions. The proposed work is carried out in the MATLAB/Simulinksoftware. A comparative analysis is also presented in lucid manner


Author(s):  
A Lalithasyamala and Dr.D Ravi Kishore

In this paper, analysis of solar power fed Brushless DC motor (BLDC) motor drive with a boost converter is presented for water pumping application in irrigation system. Nowa days, the usage of renewable PV source is increasing gradually, due to the encouragement of eco-friendly energy sources by providing subsidies for the installation in the initial states. In the agricultural sector, the water pump system requires a 3-ϕ power supply, for that we need a separate transmission line and transformers to meet the load demand. In this paper, a solar power fed BLDC motor water pumping system with boost converter and Voltage source Inverter (VSI) is presented which reduces the converter switch stress by increasing the voltage transfer gain ratio. VSI needs a huge dc link capacitor that is inherently unreliable and is one of the most expensive components of a drive.A MPPT controller is required to extract maximum power from the high penetrating renewable PV source and also proposes the Current source inverter (CSI) fed water pumping system is developed and examine with same operating conditions. A comparative analysis view in existing method of system replace the VSI with CSI. The performance of system is analyzed with speed settling times at same operating conditions. The proposed work is carried out in the MATLAB/Simulinksoftware. A comparative analysis is also presented in lucid manner.


2014 ◽  
Vol 592-594 ◽  
pp. 2331-2335
Author(s):  
Singh Ajal Puneet ◽  
Dahiya Ratna

In this paper a new approach for maximum power point tracking (MPPT) is proposed. The fractional open circuit voltage based MPPT states that the photovoltaic (PV) array voltage corresponding to the maximum power gives a linear dependence with respect to array open circuit voltage for different irradiation and temperature levels. This method is the easiest and simplest of all the MPPT methods but the disconnection of the PV array from the load on regular intervals for the sampling of the array voltage causes significant power loss. A new and simple approach is proposed by the simple linear equation of line for calculating the duty cycle of the boost converter which will extract the maximum power for the particular radiations. This topology can also be used for Wind energy systems but here the simulation is done with solar photovoltaic only. The proposed work is verified using MATLAB/SIMULNK and simulation results shows a clear improvement in achieving the desired results.


2015 ◽  
Vol 787 ◽  
pp. 838-842 ◽  
Author(s):  
M. Pandikumar ◽  
R. Ramaprabha ◽  
Ranganath Muthu

The paper proposes a comparative analysis of brushless DC (BLDC) motor based photovoltaic (PV) water pumping system with two different controllers namely the proportional-integral (PI) and the fuzzy. The controllers are designed such that the maximum power is extracted from the PV source with the incremental conductance (INC) algorithm. The controlled output is given to the boost converter, which acts as the maximum power point tracker (MPPT). It is followed by the three-phase inverter supplying the BLDC drive system. The constant speed operation is achieved via the spacevector pulsewidth modulation (SVPWM) technique in order to obtain constant throughput from the centrifugal pump. The performance of the system is analyzedwithMatLab/Simulink.It is shown that the fuzzy control provides better response then the PI control.


2018 ◽  
Vol 46 (16-17) ◽  
pp. 1896-1911 ◽  
Author(s):  
Ramulu Chinthamalla ◽  
Ramsha Karampuri ◽  
Sachin Jain ◽  
P. Sanjeevikumar ◽  
Frede Blaabjerg

2018 ◽  
Vol 29 (4) ◽  
pp. 473-491 ◽  
Author(s):  
Santosh Singh Raghuwanshi ◽  
Vikas Khare

The aim of this study is to calculate the size of the stand-alone solar photovoltaic generator and water pumping system for irrigation. In addition solar photovoltaic generator connects voltage source inverter to vector controlled induction motor-pump system. Perturb and observe method is used for harvesting maximum power of photovoltaic generator. The smooth-starting of motor-pump drive is achieved through the maximum power point tracking method. The operational performance of the solar-water-pump system is kept at 60 m head and supply daily average 35,000 L/day. In this paper result is validated by the comparison fuzzy logic controller and proportional-integral controller, driven by solar-motor-pump system. The results confirmed that fuzzy logic controller based pumping system gives more accurate results as compared to proportional-integral controller based motor-pump system. The fuzzy logic controller increases the accuracy and efficiency of the solar-water-pump system.


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