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 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.

Optimal Command for Photovoltaic Systems in Real Outdoor Weather Conditions

2019 ◽  
Vol 142 (1) ◽  
Author(s):  
Hafsa Abouadane ◽  
Abderrahim Fakkar ◽  
Benyounes Oukarfi
Keyword(s):  
Maximum Power Point Tracking ◽  
Accurate Determination ◽  
Weather Conditions ◽  
Climatic Conditions ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

The photovoltaic panel is characterized by a unique point called the maximum power point (MPP) where the panel produces its maximum power. However, this point is highly influenced by the weather conditions and the fluctuation of load which drop the efficiency of the photovoltaic system. Therefore, the insertion of the maximum power point tracking (MPPT) is compulsory to track the maximum power of the panel. The approach adopted in this paper is based on combining the strengths of two maximum power point tracking techniques. As a result, an efficient maximum power point tracking method is obtained. It leads to an accurate determination of the MPP during different situations of climatic conditions and load. To validate the effectiveness of the proposed MPPT method, it has been simulated in matlab/simulink under different conditions.

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.

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