CSR ID: 10117
Project Summary Water pumps in irrigation sector as well as domestic and industrial sectors, have been benefitted by the introduction of renewable source based power production in these sectors. A number of DC motors and permanent magnet DC [PMDC] motors driven PV pumps are already in use in several parts of the world. However, they suffer from maintenance problems due to the presence of the commutator and brushes. Other brushless motors such as permanent magnet synchronous motor [PMSM], permanent magnet brushless DC motor [PMBLDCM], switched reluctance motor [SRM] and synchronous reluctance motors [SyRM] which exhibit their own advantages have been rarely used for SPV based water pumping systems. The Modeling and Parameter Estimation of Solar Photovoltaic Array Fed Irrigation Pumps aims to develop an accurate mathematical model of a solar photovoltaic [PV] array that can predict the electrical behavior of the system under various operating conditions. The project will involve estimating the parameters of the model using experimental data obtained from the PV array, such as current-voltage curves, irradiance and temperature variations, and other relevant measurements. This modelled and parameter-estimated solar PV array is used to drive a water pump for irrigation. The performance of the system will be analyzed, and factors that affect its efficiency, such as shading, dust accumulation, and module orientation, will be identified. Using the developed model, the project will investigate the impact of different variables, such as module configuration, tracking systems, and inverter technologies, on the system's performance, and make recommendations on optimizing the design and operation of the system. Also the recurrence in PV power generation leads to an unreliable water pumping in a PV based pumping system. This problem is aggravated when there is a bad climatic condition leading to underutilized or unutilized pumping operation. This problem is resolved by an external power backup in the form of a battery storage with a bidirectional buck-boost converter, in a PV-pumping system. In addition to it, an attempt will be made for integrating unidirectional and bidirectional converters to the utility grid. The bidirectional power flow control based topology offers an additional merit of feeding power to the utility grid by the installed PV array, in case the water pumping is not required. The accuracy of the developed model will be validated by comparing predicted results with experimental data obtained from the PV array under different conditions. The project aims to provide insights into the behavior of solar PV arrays, optimize their design and operation, and contribute to the development of sustainable energy solutions. Various advantages allied with the solar PV, also faces numerous challenges that comprise the designing of best possible configurations for solar PV arrays, optimised power converters with converter protocols, optimised maximum power point tracking [MPPT] techniques, and prediction of generated power under real-time environmental conditions, development of sensorless techniques of motors employed in water pumping for both standalone and grid-integrated topologies, mitigation of power quality issues to improve the power quality of the grid side for three-phase grid. Hence, various simulations are to be executed at specific software platforms through various solar PV electrical models, where modelling of these quantified electrical equivalent models should be reliable, robust, and accurate. In view of this it is important to comprehend that the precision of a commercially available solar PV simulation software resides on the electrical PV model selected, the model parameter extraction technique incorporated, and the preciseness in estimated model parameters through various techniques. This project aims the assessment of precise solar PV modelling parameters, validated through experimental current-voltage [I-V] data, and to achieve this goal. In this project SDM, DDM and TDM are selected and modeled for different case studies under different sets of environmental conditions through various modern metaheuristic and hybrid techniques. Keywords Modeling of solar photovoltaic, Environmental conditions, Optimization, Parameter Estimation, Renewable energy, Solar Photovoltaic, Motor-drive, MPPT of solar PV array, sensorless control of motor, Irrigation pumps, Utility grid, Bidirectional converter.
Project Impact
Project Objectives 1. To develop an accurate mathematical model of a solar photovoltaic [PV] array that can predict the electrical behaviour of the system under various operating conditions. 2. To develop the experimental set up to analyse the performance of the PV array and identify the factors that affect its efficiency, such as shading, dust accumulation, and module orientation. 3. To estimate the parameters of the developed model using experimental data obtained from the solar PV array, through machine learning and optimization techniques. 4. To validate the accuracy of the developed model by comparing the predicted results with the experimental data obtained from the PV array under different conditions. 5. Investigations on various power converter topologies: Single stage and two stage topologies for proposed SPV water pumping system. 6. Investigations on the development of intelligent control algorithms for MPPT and drive control. 7. Design and development of reduced current sensor based Solar PV Fed mechanical sensorless motor drive for irrigation pumps. 8. Design and development of bidirectional power flow based grid interfaced solar PV fed induction motor drive for water pumping. Expected Output and Outcome of the proposal: 1. A detailed mathematical model of the solar photovoltaic [PV] array that accurately predicts the electrical behaviour of the system under various operating conditions. 2. A report documenting the parameter estimation process used to estimate the model's parameters using experimental data obtained from the PV array, including current-voltage curves, irradiance and temperature variations, and other relevant measurements. 3. An analysis of the PV array's performance that identifies the factors that affect its efficiency, such as shading, dust accumulation, and module orientation. 4. A validation report that compares the predicted results from the developed model with the experimental data obtained from the PV array under different conditions to verify the accuracy of the model. 5. Recommendations on optimizing the design and operation of the PV array, based on the results of using the developed model to investigate the impact of different variables, such as module configuration, tracking systems, and inverter technologies, on the system's performance. 6. The proposed technique with simple control and design is to be extremely helpful to the industries working to manufacture cost effective solar PV array based water pumping system. 7. Farmers of remote rural areas who can't access electricity from the utilities are expected to get benefits by using this system of reduced cost and desired performance.
Punjab, Patiala
Presence Across Nation
Helpline (IND) 1800114556
10:00 am to 6:00 pm IST
Entered details will be shared with the project promoter
Are you sure you want to cancel your connect with the promoter for this opportunity?
You have successfully requested a connection with the promoter of .
The promoter contact details are now visible in the opportunity’s detail page and have been emailed to you as well.
