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ANN Based MPPT Applied To Solar PV Powered Water Pumping System Using BLDC Motor

ANN Based MPPT Applied To Solar PV Powered Water Pumping System Using BLDC Motor

This work introduces non-electrical input based artificial neural network (ANN) maximum power point tracking (MPPT) technique to the solar PV powered water pumping system using brushless DC (BLDC) motor. The objective is to model a step size independent MPPT using neural network for water pumping application. A DC-DC boost converter is being utilized which is driven by ANN based MPPT to extract maximum power from the solar photovoltaic (SPV) array and also responsible for soft starting of BLDC motor. Pulse width modulated (PWM) control of the voltage source inverter (VSI) using DC link voltage controller is used to control the speed of the BLDC motor. PWM signal is generated using the inbuilt encoder to perform the electronic commutation by hall signal sensing. Performance analysis of a BLDC motor driving pump system is carried out under the MATLAB/Simulink environment and efficiency of the overall system is calculated under various irradiance condition.


ANN Based MPPT Applied To Solar PV Powered Water Pumping System Using BLDC Motor

Table of Contents

  1. Introduction

  2. Understanding MPPT in Solar PV Systems

  3. The Role of Artificial Neural Networks (ANN) in MPPT

  4. Benefits of Using BLDC Motors in Solar Water Pumping Systems

  5. Design and Components of an ANN Based MPPT System

  6. How the ANN Based MPPT Works in Solar PV Powered Water Pumping Systems

  7. Advantages of ANN Based MPPT for Solar Water Pumping Systems

  8. Challenges and Limitations of ANN Based MPPT

  9. Comparison with Traditional MPPT Techniques

  10. Implementing the ANN Based MPPT System

  11. Real-world Applications and Case Studies

  12. Future Developments and Innovations in ANN Based MPPT

  13. Environmental and Economic Impact of Solar PV Water Pumping Systems

  14. Conclusion

1. Introduction

In recent years, there has been a growing emphasis on sustainable and eco-friendly solutions for various applications. One such area is water pumping systems, where solar photovoltaic (PV) technology has emerged as an efficient and renewable energy source. To optimize the performance of these systems, an Artificial Neural Network (ANN) based Maximum Power Point Tracking (MPPT) technique is gaining popularity. This article explores the application of ANN based MPPT in Solar PV Powered Water Pumping Systems using Brushless DC (BLDC) motors.

2. Understanding MPPT in Solar PV Systems

MPPT is a crucial aspect of solar PV systems, especially when dealing with variable weather conditions and shading effects. It ensures that the solar panels operate at their maximum power output, leading to increased energy efficiency and better utilization of solar energy.

3. The Role of Artificial Neural Networks (ANN) in MPPT

ANN, inspired by the human brain's neural structure, is a powerful computational model that can effectively optimize complex systems like solar PV water pumping. ANN can analyze various inputs, including solar irradiance, temperature, and load demand, to predict the optimal operating point of the PV system.

4. Benefits of Using BLDC Motors in Solar Water Pumping Systems

BLDC motors are preferred in solar water pumping systems due to their higher efficiency, low maintenance, and longer lifespan compared to traditional motors. Their use enhances the overall system efficiency and reduces energy wastage.

5. Design and Components of an ANN Based MPPT System

The design of an ANN based MPPT system involves the selection of appropriate ANN architecture and training algorithms. The components include sensors to measure environmental parameters, microcontrollers for data processing, and power converters to control the BLDC motor.

6. How the ANN Based MPPT Works in Solar PV Powered Water Pumping Systems

The ANN based MPPT continuously collects data from sensors and uses its trained knowledge to determine the optimal voltage and current values for the BLDC motor. This ensures that the solar panels operate at their maximum efficiency, providing sufficient power for water pumping.

7. Advantages of ANN Based MPPT for Solar Water Pumping Systems

The use of ANN based MPPT offers several advantages, such as higher energy conversion efficiency, adaptability to changing conditions, and reduced overall system costs. It allows for real-time adjustments, making it suitable for remote and off-grid installations.

8. Challenges and Limitations of ANN Based MPPT

Despite its benefits, ANN based MPPT faces challenges like complex training processes, computational requirements, and sensitivity to noisy data. Ensuring proper training and validation is essential to overcome these limitations.

9. Comparison with Traditional MPPT Techniques

Comparing ANN based MPPT with conventional methods, such as Perturb and Observe (P&O) and Incremental Conductance (IncCond), reveals its superiority in terms of accuracy and adaptability. ANN based MPPT can outperform traditional techniques, especially in dynamic weather conditions.

10. Implementing the ANN Based MPPT System

The implementation of an ANN based MPPT system involves careful integration of sensors, microcontrollers, and power electronics. System developers and engineers play a vital role in successful deployment.

11. Real-world Applications and Case Studies

Several real-world applications showcase the effectiveness of ANN based MPPT in solar PV water pumping systems. Case studies demonstrate energy savings, increased water delivery, and reduced carbon emissions.

12. Future Developments and Innovations in ANN Based MPPT

As technology advances, ongoing research aims to enhance ANN based MPPT systems further. Integration with Internet of Things (IoT) and predictive algorithms holds the potential for even greater efficiency gains.

13. Environmental and Economic Impact of Solar PV Water Pumping Systems

The adoption of ANN based MPPT in solar PV water pumping contributes to a sustainable future by reducing greenhouse gas emissions and dependence on fossil fuels. Additionally, it helps in curbing energy costs for farmers and water-intensive industries.

14. Conclusion

The application of ANN based MPPT in Solar PV Powered Water Pumping Systems using BLDC motors marks a significant step towards sustainable water management. The combination of advanced neural networks and efficient BLDC motors empowers these systems to operate optimally under varying conditions, reducing energy wastage and ensuring a greener tomorrow.

FAQs

  1. Is ANN based MPPT suitable for all solar PV systems? Yes, ANN based MPPT can be adapted to various solar PV systems, including residential, agricultural, and industrial setups.

  2. Does the ANN based MPPT system require internet connectivity? No, the ANN based MPPT system operates independently and does not require constant internet connectivity.

  3. How does the use of BLDC motors impact system maintenance? BLDC motors have fewer mechanical components, reducing maintenance needs and enhancing their overall reliability.

  4. Can ANN based MPPT be combined with battery storage systems? Yes, ANN based MPPT can integrate seamlessly with battery storage solutions for better energy management.

  5. What are the financial incentives for adopting ANN based MPPT systems? Governments and organizations may offer subsidies or tax benefits to encourage the adoption of eco-friendly technologies like ANN based MPPT.


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