scholarly journals Sizing Optimization and Experimental Verification of a Hybrid Generation Water Pumping System in a Greenhouse

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Dan Li ◽  
Delan Zhu ◽  
Ruixin Wang ◽  
Maosheng Ge ◽  
Shoujun Wu ◽  
...  
Keyword(s):  
Power Supply ◽  
Optimization Model ◽  
Field Experiments ◽  
Irrigation Schedule ◽  
Climatic Conditions ◽  
Generation System ◽  
Hybrid Generation ◽  
Wind Generator ◽  
Pumping System ◽  
Water Pumping

In remote agricultural areas, electrical energy is usually deficient for pumping water into greenhouses. Photovoltaic (PV) panels and wind generators are considered suitable options for power supply. The reliability of hybrid generation water pumping depends primarily on the number of system components, which should be adapted to the local climatic conditions and crop irrigation schedule. In this study, a universal size optimization model is established to optimize the configuration of a hybrid PV-wind-battery (PWB) generation system. The climatic conditions and crop irrigation schedule are parameterized in the model. Minimization of the annual cost of the hybrid PWB system is the objective function. The constraints include the battery state of charge (SOC) and the power supply reliability, which consists of the loss of power supply (δLPS) and the excess energy (δEX). The numbers of PV panels and batteries, as well as the rated power of the wind generator, are the decision variables. The optimization model of the PWB generation system is solved using a particle swarm optimization (PSO) algorithm based on penalty function. The model is then applied to determine the optimal configuration of a water pumping system for a greenhouse used to grow tomatoes. Measured climatic data are used in the optimization process, which is conducted in the month of maximum irrigation water requirement (August). The optimal results for this greenhouse are two PV panels and two batteries, and the rated power of the wind generator is 375 W. Furthermore, field experiments are performed to validate the optimization model. The field experiment results show that the total output power of the PV panels and wind generator during 15 d are 41.478 kW and 6.235 kW, respectively. The total load power of the pump is 36.965 kW. The field experiments demonstrate that the optimal results are able to meet the power requirements of the water pumping system and the sizing optimization model is appropriate.

Optimal Configuration and Field Experiments for the Photovoltaic System of a Solar-Powered Hose-Drawn Traveler

2019 ◽  
Vol 62 (6) ◽  
pp. 1789-1801
Author(s):  
Dan Li ◽  
Delan Zhu ◽  
Maosheng Ge ◽  
Shoujun Wu ◽  
Ruixin Wang ◽  
...  
Keyword(s):  
Power Supply ◽  
Optimization Model ◽  
Annual Cost ◽  
Field Experiments ◽  
Transmission Efficiency ◽  
Optimal Configuration ◽  
Total Power ◽  
Generation System ◽  
Photovoltaic Generation ◽  
Battery Capacity

Abstract. High energy consumption is one of the disadvantages of hose-drawn travelers due to the use of water turbines. This study proposes a photovoltaic-powered electric motor instead of a water turbine to achieve high transmission efficiency. A stand-alone photovoltaic generation system (PVGS) was designed for a hose-drawn traveler. To achieve cost savings, a sizing optimization model was built for the PVGS. In the optimization model, the minimum annual cost of the system, which includes the initial capital, replacement, installation, operation, and maintenance costs, is taken as the objective function. The constraints include the battery’s state of charge (SOC) and the power supply reliability, which is composed of the load loss of power supply probability (LPSP) and the energy excess percentage (EXC). The total power produced by the PV panels and the total battery capacity are the decision variables. The optimization model of the PVGS is solved through a particle swarm optimization (PSO) algorithm based on a penalty function. The model is then applied to calculate the optimal configuration of a JP75-300 hose-drawn traveler. Comparisons between the optimal configuration and other six configuration schemes were conducted to verify the optimal solution results. Furthermore, field experiments were performed to test the performance. Finally, the effects of meteorological conditions, driving velocity, and LPSP on the optimal configuration and the annual cost of the PVGS are discussed. The results show that the optimal configuration of this PVGS are 432 W total power from PV panels and 172 Ah total battery capacity, and the optimization model results are the optimal configuration based on comparisons. The optimal configuration met the power requirements of the hose-drawn traveler for four days of field experiments, indicating that the optimal configuration is feasible.HighlightsA photovoltaic-powered electric motor instead of a water turbine was used for high transmission efficiency.An optimization model was built to define the optimal configuration of the photovoltaic generation system (PVGS).The optimal configuration decreased the annual cost of the PVGS while ensuring power supply reliability.Meteorological conditions, driving velocity, and LPSP are key factors affecting the annual cost of the PVGS. Keywords: Driving power requirements, Field experiments, Hose-drawn traveler, Optimization model, Particle swarm optimization, Photovoltaic generation system.

Enhancing the Performance of Solar Photovoltaic Water Pumping System by Water Cooling Over and Below the Photovoltaic Array

2019 ◽  
Vol 142 (2) ◽  
Author(s):  
Arunendra K. Tiwari ◽  
Vimal C. Sontake ◽  
Vilas R. Kalamkar
Keyword(s):  
Performance Enhancement ◽  
Climatic Conditions ◽  
Pump Efficiency ◽  
Solar Photovoltaic ◽  
Water Cooling ◽  
Cell Temperature ◽  
Photovoltaic Array ◽  
Pumping System ◽  
Water Pumping ◽  
Institute Of Technology

Abstract Lower operating temperatures of the photovoltaic (PV) cells increase the performance and efficiency of any PV installation. The efficiency of solar photovoltaic water pumping system (SPVWPS) decreases considerably with the increase in the PV cell temperature. In this paper, the performance of a 2 hp SPVWPS has been investigated experimentally, for the influence of panel cooling, using water. The experimental observations have been made under climatic conditions of Visvesvaraya National Institute of Technology, Nagpur campus, India, during the year 2018. The performance was evaluated under four different cases: (a) without panel cooling, (b) with water cooling on the top of the panel surface, (c) with water cooling on beneath the surface of the panel, and (d) with water cooling beneath the surface of the panel using jute. The effect of different cooling cases on the various performance parameters such as discharge, power output, pump efficiency, and system efficiency has been analyzed and discussed. The results showed that the water cooling on the top of the panel and beneath the surface of the panel with jute has considerable influence on performance enhancement when compared with other cases.

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.

scholarly journals Passivity-Based Control of Water Pumping System Using BLDC Motor Drive Fed by Solar PV Array with Battery Storage System

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8184
Author(s):  
Ihor Shchur ◽  
Marek Lis ◽  
Yurii Biletskyi
Keyword(s):  
Power Supply ◽  
Voltage Regulation ◽  
System Structure ◽  
Solar Irradiation ◽  
Battery Storage ◽  
Energy Management Strategy ◽  
Solar Water ◽  
Pumping System ◽  
Water Pumping ◽  
Passivity Based Control

In remote locations, it is advisable to combine solar water pumping with electric energy storage and power supply for other forms of consumption. In such complex systems, individual subsystems feature their own local control, and the general automatic control of the system in different modes of its operation is carried out in accordance with an energy management strategy (EMS). In this paper, the functions of local and general control of the solar water pumping system with battery storage and external power supply are combined in the system of passivity-based control (PBC). The EMS is constructed in such a way that for all modes, only two PBC systems are developed, which are switched depending on the battery’s state of charge and the current levels of the two main disturbances—solar irradiation and electrical consumption. For each system, two control influence former (CIF) structures were synthesized and their operation was investigated by computer simulation. Despite the simplicity of CIFs’ implementation, due to the introduced interconnection and damping coefficients, such control allows the provision of the required voltage regulation with a static error up to 1%, sufficient quality of transients during disturbances and switching of the system structure, as well as system asymptotic stability.

scholarly journals Study and comparison results of the field oriented control for photovoltaic water pumping system applied on two cities in Morocco

2019 ◽  
Vol 8 (4) ◽  
Author(s):  
Mustapha Errouha ◽  
Aziz Derouich
Keyword(s):  
Climatic Conditions ◽  
Variable Step Size ◽  
Field Oriented Control ◽  
Step Size ◽  
Pumping System ◽  
Water Pumping ◽  
Incremental Conductance ◽  
Comparison Results ◽  
Two Cities ◽  
Variable Step

In this papier, a low-cost solar photovoltaic water pumping system based on an induction motor without the use of chemical energy storage is presented. In literature, we can find several Maximum Power Point Tracking Algorithms, the choice of the algorithm is according to the nature of application. In this article, Variable Step Size Incremental Conductance MPPT method has been developed since it is fast and has less oscillations. The studied photovoltaic pumping system contains a centrifugal pump which is driven by a three-phase asynchronous motor. To control the water flow, the field-oriented control has been implemented. The control system is applied on two cities with different climatic conditions to evaluate their performance. The photovoltaic pumping system is developed using the MATLAB/Simulink software to discuss the results obtained. Consequently, the proposed MPPT based on the incremental conductance variable step shows good performances in terms of efficiency and tracking speed.

Multi-Object Optimization Research about Wind/Solar Hybrid Generation System

2014 ◽  
Vol 672-674 ◽  
pp. 337-341
Author(s):  
Zhi Huang Liu ◽  
Hai Yuan Liu ◽  
Xue Jun Gao
Keyword(s):  
Test Data ◽  
Hybrid System ◽  
Optimization Model ◽  
Cost Control ◽  
System Optimization ◽  
Optimization Method ◽  
Generation System ◽  
Hybrid Generation ◽  
Pareto Solutions

Wind/solar hybrid system optimization is a key point for cost control. Here a multi-object optimization model is raised. Then a multi-object optimization method based on GA is used to find the Pareto solutions of wind/solar hybrid system. The test data shows that this method can get a good result.

scholarly journals Chunk by Chunk Irrigation of Farm Field -Through Wireless Sensing Technique

2020 ◽  
Vol 9 (3) ◽  
pp. 2101-2104
Keyword(s):  
Power Supply ◽  
Andhra Pradesh ◽  
Irrigation System ◽  
Humidity Sensors ◽  
Irrigation Method ◽  
Irrigation Methods ◽  
Pumping System ◽  
Water Pumping ◽  
Long Time ◽  
Automated Methods

Farming act as a heart to Indian economy and is a work of farmers. Farmers pursue certain set of stages to farm a field and irrigation is essential stage among all stages. Farmers are using so many irrigation methods to farm a field and the Irrigation methods must be in such way that, it have to boost plant development while minimizing salt inequities, leaf injuries, soil erosion, and water loss. To get good results in irrigation we should use good irrigation system. Now a days, farmers are using so many irrigation systems to pump water on the farm like traditional, modern and automated methods. Even though farmers facing problems like current shocks, standing long time and monitoring each and everything to pump water on the entire farm. In this paper modernistic sensor-based water pumping system is proposed to made irrigation easy to the farmers by chunk by chunk irrigation and each chunk is supervised with the help of soil moisture, temperate and humidity sensors. One more criteria, farmer need to concentrate while selecting an irrigation method is power supply, especially in Andhra Pradesh there is a regular power cuts in the nights.so that farmers can’t go every time to monitor how the irrigation is in the nights. Because in the nights snack and poisonous insects will be there in farm field, so it will be dangerous to the farmer’s life.so, by using proposed irrigation method irrigation will be easy in regular power cut areas, sloppy area and irrigation at night time.one more benefit from this proposed method is man power will decrease.

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.

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