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.

Solar PV Powered Standalone Water Pumping Systems

2018 ◽  
pp. 139-190
Author(s):  
Sachin Jain ◽  
Ramsha Karampuri ◽  
Ramulu Chinthamalla
Keyword(s):  
Induction Motor ◽  
Pulse Width Modulation ◽  
Low Cost ◽  
Integrated Control ◽  
Control Technique ◽  
Pumping System ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Water Pumping ◽  
Power Point

The standalone solar photovoltaic (PV) powered water pumping system could have either two power conditioning units (PCUs) or a single PCU. The system with single PCU is advantageous over the prior because of low device count, smaller in size, low cost, low losses, and higher efficiency. This chapter includes four such single-stage PV water pumping systems. All the four systems are operated using the integrated control technique which assimilates maximum power point tracking (MPPT), pulse width modulation (PWM) technique, and motor control. But the PV systems differ in the inverter configuration used as well as the employed induction motor (conventional star connected and open-end winding induction motor [OEWIM]). The detailed description of mathematical modeling, design and analysis of all the four PV pumping systems along with the simulation results are presented in this chapter.

scholarly journals Dynamic Modeling, Control, and Analysis of a Solar Water Pumping System for Libya

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Muamer M. Shebani ◽  
Tariq Iqbal
Keyword(s):  
Dynamic Modeling ◽  
Open Circuit ◽  
Solar Irradiation ◽  
Solar Pv ◽  
Matlab Simulink ◽  
Pv Array ◽  
Pumping System ◽  
Water Pumping ◽  
Specific Speed ◽  
Power Point

In recent years, one of the suitable solar photovoltaic (PV) applications is a water pumping system. The simplest solar PV pumping system consists of PV array, DC-DC converter, DC motor, and water pump. In this paper, water pumping system sizing for Libya is evaluated based on a daily demand using HOMER software, and dynamic modeling of a solar PV water pumping system using a Permanent Magnet DC (PMDC) motor is presented in Matlab/Simulink environment. The system performance with maximum power point tracking (MPPT) based on Fractional Open Circuit Voltage (FOCV) is evaluated with and without a battery storage system. In some applications, a rated voltage is needed to connect a PMDC motor to a PV array through a DC-DC converter and in other applications the input voltage can vary. The evaluation of the system is based on the performance during a change in solar irradiation. Using Matlab/Simulink, simulation results are assessed to see the efficiency of the system when it is operating at a specific speed or at the MPPT. The results show that an improvement in the system efficiency can be achieved when the PMDC motor is running at a specific speed rather than at the peak PV power point.

scholarly journals Standalone photovoltaic array fed induction motor driven water pumping system

2020 ◽  
Vol 10 (5) ◽  
pp. 4534 ◽  
Author(s):  
Atarsia Loubna ◽  
Toufouti Riad ◽  
Meziane Salima
Keyword(s):  
Induction Motor ◽  
Transmission Lines ◽  
Rural Areas ◽  
Electrical Power ◽  
Energy System ◽  
Photovoltaic Array ◽  
Pumping System ◽  
Point Tracking ◽  
Water Pumping ◽  
Power Point

Due to the absence of energy transmission lines connected to the water pumping sites in remote areas, problems related to the electrical power outages and the environmental degradation caused by fossil fuel. For this one of the most conceived solutions is the photovoltaic water pumping technology which has the advantage of being sustainable and respectful of the environment to supply water to rural areas. To ensure the need of water, especially for domestic use and small communities, in this article, the photovoltaic energy system for autonomous water pumping using the induction motor was presented, particularly adapted to the isolated regions. Pumping system consists of four photovoltaic (PV) panels, boost converter, inverter, induction motor, centrifugal pump and a storage tank. In this study, the output power of a PV solar cell is fully used by proposing the P&O algorithm, where it is used to follow a maximum power point tracking (MPPT) technique. The recommended system is designed, modeled and simulated on the MATLAB/Simulink platform. The efficiency of the proposed algorithm is observed with variable solar sunshine.

Optimal Fractional-Order Fuzzy-MPPT for solar water pumping system

2021 ◽  
Vol 40 (1) ◽  
pp. 1175-1190
Author(s):  
Raafat Shalaby ◽  
Hossam Hassan Ammar ◽  
Ahmad Taher Azar ◽  
Mohamed I. Mahmoud
Keyword(s):  
Fractional Order ◽  
Robustness Analysis ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Operating Conditions ◽  
Gray Wolf ◽  
Pumping System ◽  
Point Tracking ◽  
Water Pumping ◽  
Power Point

This paper seeks to improve the efficiency of photovoltaic (PV) water pumping system using Fractional-order Fuzzy Maximum Power Point Tracking (FoF-MPPT) control and Gray Wolf Optimization (GWO) technique. The fractional calculus has been used to provide an enhanced model of PV water pumping system to, accurately, describe its nonlinear characteristics. Moreover, three metaheuristic optimizers are applied to tune the parameters of the proposed FoF-MPPT, Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and the GWO. The FoF-MPPT is intensively tested and compared to the Perturb and Observe (PO), the Incremental Conductance (INC) and the FL-MPPT controllers. A MATLAB-Simscape based physical model of the PV water pumping system has been developed and simulated for different control techniques with the proposed optimization algorithms. The response of the PV water pumping systems is evaluated under rapidly changing weather conditions to prove the effectiveness of the optimized FoF-MPPT compared to the conventional algorithms. The reliability of the comparative study has been emphasized in terms of several transient tracking and steady- state performance indices under different operating conditions. The simulation results show the effective performance of the proposed metaheuristic optimized FL-MPPT and FoF-MPPT control under different climatic conditions with disturbance rejection and robustness analysis.

scholarly journals A Neural Network and Fuzzy Logic based MPPT Algorithm for Photovoltaic Pumping System

2018 ◽  
Vol 9 (4) ◽  
pp. 1823 ◽  
Author(s):  
Salwa Assahout ◽  
Hayat Elaissaoui ◽  
Abdelghani El Ougli ◽  
Belkassem Tidhaf ◽  
Hafida Zrouri
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Fuzzy Controller ◽  
Boost Converter ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Pumping System ◽  
Point Tracking ◽  
Artificial Neural Network Ann ◽  
Power Point

<p><span lang="EN-US">The use of solar energy had gained a great attention last decades, as it is pollution-free. It is used in isolated areas for lighting, pumping, etc. However, the extraction of the maximum power generated by a PVG at any moment of the day is a big deal because the characteristic of a PVG in non-linear which makes the location of the Maximum Power Point (MPP) difficult. Therefore, a Maximum Power Point Tracking technique (MPPT) is required to maximize the output power.<strong> </strong>In this paper, a photovoltaic water pumping system has been studied. This system consists of three main parts: PVG, a DC-DC boost converter and a DC motor coupled with a centrifugal water pump. We have proposed a new MPPT algorithm based on Fuzzy logic and Artificial Neural Network (ANN) to improve the system performances. The ANN is used to predict the optimal voltage of the PVG, under different environmental conditions (temperature and solar irradiance) and the fuzzy controller is used to command the DC-DC boost converter. The proposed method is compared to P&amp;O technic, by simulation under Matlab/Simulink, to verify its effectiveness. </span></p>

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