Contribution to Power Maximization of an Asynchronous Wind Electric Water Pumping System Using Single Input Fuzzy Logic Controller and Modified Enhanced Perturb and Observe

2020 ◽  
pp. 330-342
Author(s):  
Mohammed Mokhtari ◽  
Smail Zouggar ◽  
Nacer K. M’sirdi ◽  
Mohamed Larbi Elhafyani
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Pumping System ◽  
Water Pumping ◽  
Perturb And Observe ◽  
Power Maximization ◽  
Single Input

scholarly journals Sizing and implementation of Photovoltaic Water Pumping System for Irrigation

2018 ◽  
Vol 7 (1) ◽  
pp. 54
Author(s):  
Santosh S. Raghuwanshi ◽  
Vikas Khare
Keyword(s):  
Fuzzy Logic Controller ◽  
Setting Time ◽  
Weather Conditions ◽  
Pi Controller ◽  
Voltage Source ◽  
Solar Photovoltaic ◽  
Pump System ◽  
Pumping System ◽  
Water Pumping ◽  
Perturb And Observe

<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>

Fuzzy Logic Controller to Improve Photovoltaic Water Pumping System Performance

2018 ◽  
Author(s):  
Abdelhak Bouchakour ◽  
Abdelhalim Borni ◽  
Layachi Zaghba ◽  
Sief Eddine Boukebbous ◽  
Amor Fazzani
Keyword(s):  
Fuzzy Logic ◽  
System Performance ◽  
Fuzzy Logic Controller ◽  
Pumping System ◽  
Water Pumping

scholarly journals Simulation of Fuzzy Logic Controller Interfaced, Utility Grid Integrated Solar Water Pumping System using PMSM Drive

2021 ◽  
Vol 9 (VI) ◽  
pp. 2203-2212
Author(s):  
Chenna Nikhil
Keyword(s):  
Fuzzy Logic ◽  
Solar Energy ◽  
Permanent Magnet ◽  
Fuzzy Logic Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Solar Water ◽  
Pumping System ◽  
Water Pumping ◽  
Utility Grid

In this paper we are integrating utility grid to the DC link of solar water pumping system to eliminate intermittent nature of a solar energy and interfacing fuzzy logic controller to eliminate non-linearity of the system, controlling speed of a motor to a precise level, smoothen the operation of motor without ripples in supply to PMSM (Permanent Magnet Synchronous Motor).

Sizing and modelling of stand-alone photovoltaic water pumping system for irrigation

2018 ◽  
Vol 29 (4) ◽  
pp. 473-491 ◽  
Author(s):  
Santosh Singh Raghuwanshi ◽  
Vikas Khare
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Solar Photovoltaic ◽  
Water Pump ◽  
Pump System ◽  
Pumping System ◽  
Water Pumping ◽  
Integral Controller ◽  
Proportional Integral Controller ◽  
Solar Water Pump

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.

scholarly journals Impact of Polyphase Induction Motor on Photovoltaic Water Pumping System

2020 ◽  
Vol 53 (6) ◽  
pp. 763-770
Author(s):  
Iffouzar Koussaila ◽  
Khaldi Lyes ◽  
Kamal Himour ◽  
Deboucha Abdelhakim ◽  
Houari Azeddine ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Low Voltage ◽  
Harmonic Distortion ◽  
Optimal Operating ◽  
Pumping System ◽  
Static Converters ◽  
Water Pumping ◽  
Operating Limits

An improved dynamic behavior of water pumping system is presented in this paper. The system consists of a seven-phase induction motor powered by a photovoltaic generator (PVG) and a battery bank, via two static converters controlled independently. A boost converter based on fuzzy logic controller is utilized to adapt the voltage of the photovoltaic generator in order to extract maximum power. A three levels neutral point clamped inverter (NPC) is introduced to attain a low voltage harmonic distortion in the system. In addition, an improved direct field oriented control with minimizing non-sequential currents for the seven-phase induction motor using fuzzy logic filter is implemented. To verify and validate the proposed system, an optimal operating point is chosen to locate the dynamic and static operating limits of the system. Moreover, the proposed system is simulated and analyzed. The minimization of the non-sequential currents component induces a quality energy improvement with minimizing of the Joule losses, which increase the system efficiency. The use of the seven-phase machine brings a degree of additional freedom to the system, its tolerance to faults is a capital issue for the isolated places.

Electric Motor Drive Using Single Input Fuzzy Logic Controller for Husk Extraction in Rice Mill Industry

2021 ◽  
pp. 403-413
Author(s):  
A. Jagadeesh ◽  
K. Deepa ◽  
K. Sireesha
Keyword(s):  
Fuzzy Logic ◽  
Electric Motor ◽  
Fuzzy Logic Controller ◽  
Motor Drive ◽  
Single Input ◽  
Electric Motor Drive

Efficiency optimization of a DSP-based standalone PV system using a stable single input fuzzy logic controller

2015 ◽  
Vol 49 ◽  
pp. 907-920 ◽  
Author(s):  
Maissa Farhat ◽  
Oscar Barambones ◽  
Lassaâd Sbita
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Pv System ◽  
Efficiency Optimization ◽  
Single Input

scholarly journals Numerical Performance Evaluation of Solar Photovoltaic Water Pumping System under Partial Shading Condition using Modern Optimization

Mathematics ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 1123 ◽  
Author(s):  
Arfaoui ◽  
Rezk ◽  
Al-Dhaifallah ◽  
Elyes ◽  
Abdelkader
Keyword(s):  
Maximum Power ◽  
Solar Photovoltaic ◽  
Matlab Simulation ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Pumping System ◽  
Water Pumping ◽  
Voltage Curve ◽  
Perturb And Observe ◽  
Power Point

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.

Sign in / Sign up

Export Citation Format

Share Document