Harnessing Maximum Power from Solar PV Panel for Water Pumping Application

2013 ◽  
pp. 236-241
Author(s):  
Mrityunjaya Kappali ◽  
R. Y. Uday Kumar ◽  
V. R. Sheelavant
Keyword(s):  
Maximum Power ◽  
Solar Pv ◽  
Pv Panel ◽  
Water Pumping

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 Modeling of Photovoltaic MPPT Lead Acid Battery Charge Controller for Standalone System Applications

2020 ◽  
Vol 182 ◽  
pp. 03005
Author(s):  
Rodney H.G. Tan ◽  
Chee Kang Er ◽  
Sunil G. Solanki
Keyword(s):  
Maximum Power ◽  
Maximum Point ◽  
Solar Pv ◽  
Lead Acid Battery ◽  
Pv System ◽  
Photovoltaic Panel ◽  
Battery Charge ◽  
Pv Panel ◽  
Charging Strategy ◽  
Lead Acid

This paper presents the circuitry modeling of the solar photovoltaic MPPT lead-acid battery charge controller for the standalone system in MATLAB/Simulink environment. A buck topology is utilized as a DC-DC converter for the charge controller implementation. The maximum power of the photovoltaic panel is tracked by the Perturb and Observe MPPT algorithm. The battery charge controller charges the lead-acid battery using a three-stage charging strategy. The three charging stages include the MPPT bulk charge, constant voltage absorption charge, and float charge stage. The performance analysis of the model is carried out in the following aspects, there are MPPT tracking performance, battery charging performance and overall charge controller efficiency performance are benchmarked with commercial MPPT charge controller for validation. The performance result shows that the MPPT is capable to track to the PV panel maximum point at any solar irradiance variation within 0.5 seconds with maximum power tracking efficiency up to 99.9 %. The three-stage charging strategy also successfully demonstrated. The overall charge controller average efficiency achieved up to 98.3 % which matches many high end commercial solar PV MPPT charge controller product specifications. This validated model contributes to a better sizing of PV panel and battery energy storage for the small and medium standalone PV system.

Framework of Maximum Power Extraction From Solar PV Panel Using Self Predictive Perturb and Observe Algorithm

2018 ◽  
Vol 9 (2) ◽  
pp. 895-903 ◽  
Author(s):  
Nishant Kumar ◽  
Ikhlaq Hussain ◽  
Bhim Singh ◽  
Bijaya Ketan Panigrahi
Keyword(s):  
Maximum Power ◽  
Solar Pv ◽  
Power Extraction ◽  
Pv Panel ◽  
Perturb And Observe

An Improved Constant Voltage Based MPPT Technique for PMDC Motor

2016 ◽  
Vol 7 (4) ◽  
pp. 1330 ◽  
Author(s):  
Mohammed Asim ◽  
Mohd Tariq ◽  
M.A. Mallick ◽  
Imtiaz Ashraf
Keyword(s):  
Low Cost ◽  
Open Circuit ◽  
Maximum Power ◽  
Solar Pv ◽  
Constant Voltage ◽  
Pv Panel ◽  
Simulink Simulation ◽  
Current Voltage ◽  
Promising Solution ◽  
Power Point

Stand-alone photovoltaic (SAPV) systems are being used in remote areas and are being seen as one of the promising solution in this regard. The SAPV system as presented in the paper consists of solar PV panel, a DC-DC converter, a controller and a PMDC motor. The current-voltage and power-voltage characteristics being nonlinear, the SAPV system require maximum power point techniques (MPPT) control techniques to extract maximum power available from the PV cell. A voltage based MPPT technique which is capable of tracking MPP has been selected because of numerous advantages it offers such as: simple and low cost of implementation. The limitation of constant voltage method is that its efficiency is low as the PV panel has to be disconnected from the load for measurement of the open circuit voltage (V<sub>oc</sub>). In the presented paper, the authors have removed this limitation by using a pilot PV panel for measurement of V<sub>oc</sub>. A proportional-integrator (PI) based controller is used in implementation of constant voltage MPP technique and the modeling is done in MATLAB<sup>®</sup>/SIMULINK simulation environment. The simulation results are presented and discussed in the paper, the results shows that the efficiency of the system has increased.

Performance Comparision of P&O and INC MPPT Techniques for a Boost Converter in Solar Photovoltaic System

2014 ◽  
Vol 573 ◽  
pp. 89-94
Author(s):  
C. Vimalarani ◽  
N. Kamaraj
Keyword(s):  
Performance Comparison ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Solar Irradiation ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Pv Panel ◽  
Power Point

Maximum power point tracking techniques play an important role in solar photovoltaic systems to achieve the desired output power. These techniques track maximum power from the solar panel under varying solar irradiation and cell temperature. Among these techniques, Perturb & Observe (P&O) is used by many researchers. Due to the ease of realization and Incremental conductance (INC) algorithm is widely used because of reduced oscillations around maximum power point. In this paper, MATLAB/SIMULINK tool has been used to evaluate the performance of 125W solar PV panel by using these algorithms. The performance comparison of P&O and INC techniques is made and the results exhibit the maximum power tracking from solar PV panel and well regulated output voltage across the load is achieved.

scholarly journals Different Conventional and Soft Computing MPPT Techniques for Solar PV Systems with High Step-Up Boost Converters: A Comprehensive Analysis

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 371 ◽  
Author(s):  
CH Hussaian Basha ◽  
C Rani
Keyword(s):  
Comparative Analysis ◽  
Soft Computing ◽  
Maximum Power ◽  
Variable Step Size ◽  
Solar Pv ◽  
Step Size ◽  
Pv Systems ◽  
Pv Panel ◽  
Functional Algorithm ◽  
Variable Step

Solar photovoltaic (PV) systems are attracting a huge focus in the current energy scenario. Various maximum power point tracking (MPPT) methods are used in solar PV systems in order to achieve maximum power. In this article, a clear analysis of conventional MPPT techniques such as variable step size perturb and observe (VSS-P&O), modified incremental conductance (MIC), fractional open circuit voltage (FOCV) has been carried out. In addition, the soft computing MPPT techniques such as fixed step size radial basis functional algorithm (FSS-RBFA), variable step size radial basis functional algorithm (VSS-RBFA), adaptive fuzzy logic controller (AFLC), particle swarm optimization (PSO), and cuckoo search (CS) MPPT techniques are presented along with their comparative analysis. The comparative analysis is done under static and dynamic irradiation conditions by considering algorithm complexity, tracking speed, oscillations at MPP, and sensing parameters. The single-diode model PV panel and double-diode model PV panel are also compared in terms of fill factor (FF) and maximum power extraction. Clear insight is presented supporting the suitability of MPPT techniques for different types of converter configurations.

scholarly journals Detection and control of power loss due to soiling and faults in photovoltaic solar farms via wireless sensor network

2018 ◽  
Vol 7 (2) ◽  
pp. 718 ◽  
Author(s):  
Ahmed Abid ◽  
Adel Obed ◽  
Fawzi Al-Naima
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Short Circuit ◽  
Open Circuit ◽  
Maximum Power ◽  
Wireless Sensor ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Pv Panel ◽  
Power Point

Solar photovoltaic (PV) farm output power is highly related to the panel conditions. Soiling causes faults in the PV panels leading to a dras-tic reduction in the system efficiency. In vast solar PV farms, the detection of faults in an individual PV panel is a difficult task since it is usually done manually. In this research, a new design is proposed to detect the production of individual PV panel automatically and periodically to evaluate the condition of each panel in the farm no matter how it is connected in the array. The proposed design allows the user to measure the open circuit voltage (VOC), the short circuit current (ISC) and the delivered power for each PV panel in the farm. It is also capable of controlling each panel to work at the maximum power point using a built in Maximum Power Point Tracking (MPPT) sub-circuit on each solar panel. The presented system depicts a complete wireless sensor network, which does not need any extra wiring and is character-ized by being of low cost, reliable and efficient.

Design & Real-time Implementation of MIDO Converter Based PV Water Pumping System with BES

2020 ◽  
Vol 14 (2) ◽  
pp. 194-204
Author(s):  
Anuradha Tomar
Keyword(s):  
Real Time ◽  
Rural Areas ◽  
Maximum Power ◽  
Pump System ◽  
Partial Shading ◽  
Power Extraction ◽  
Pumping System ◽  
Point Tracking ◽  
Water Pumping ◽  
Battery Energy

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.

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