Improving Solar Panel Power Output through Hybrid Fuzzy-PID Controller and BAT Optimization

Problem Definition

The existing problem in the PV module power tracking control mechanism revolves around the inefficiency of current MPPT paradigms. These paradigms are slow in tracking the maximum power point, leading to a decrease in utilization effectiveness. The traditional increment conductance technique used in MPPT requires modification to keep up with the advanced techniques available in the field. Additionally, the lack of a storage system for excess power in the current system limits the overall efficiency of the power tracking process. These limitations highlight the need for an enhanced method that can address these issues and improve the performance of the scheme.

By developing a more efficient and effective power tracking control mechanism, the overall performance and utilization of PV modules can be optimized for better energy production.

Objective

The objective is to develop a hybrid approach that combines BAT control for the fuzzy interface and PID tuning to address the inefficiencies of traditional MPPT algorithms in PV module power tracking control mechanisms. This will enhance the efficiency of photovoltaic modules, optimize energy production, and improve overall performance and utilization of solar energy. Through the implementation of this hybrid MPPT algorithm, the goal is to overcome the limitations of current systems and achieve superior results in maximizing power output.

Proposed Work

The proposed work aims to address the shortcomings in the traditional MPPT algorithms by introducing a hybrid approach that combines the BAT control for the fuzzy interface and PID tuning. By leveraging the advantages of both techniques, the efficiency of photovoltaic modules can be enhanced, ultimately leading to better utilization of solar energy. The use of renewable energy sources such as solar power is crucial in mitigating the impact of global warming, making it imperative to optimize the performance of solar PV systems. Through the implementation of the hybrid MPPT algorithm, the photovoltaic modules can operate at their optimum level, extracting the maximum amount of energy from sunlight. By incorporating the Fuzzy Logic system for stability and fast tracking, as well as utilizing the PID controller for precise parameter adjustments, the proposed method offers a reliable and efficient solution to the challenges faced by traditional MPPT algorithms.

The use of the BAT optimization technique further enhances the effectiveness of the PID controller by optimizing the values of P, I, and D, ensuring that the system operates at its peak performance. By adopting this hybrid approach, the proposed work aims to overcome the limitations of traditional MPPT algorithms and achieve superior results in maximizing the power output of photovoltaic modules.

Application Area for Industry

This project can be applied in various industrial sectors such as renewable energy, power generation, and manufacturing. The proposed solution of integrating Fuzzy Logic and PID controller in the Maximum Power Point Tracking (MPPT) system addresses the challenge of slow tracking in traditional MPPT paradigms. By combining these two control mechanisms, the system can achieve faster and more efficient power tracking, leading to increased utilization effectiveness of solar PV modules. By optimizing the PID controller parameters using a BAT optimization technique, the system can further improve its performance and ensure the best values for Proportional (P), Derivative (D), and Integral (I) parameters. This enhanced method not only addresses the shortcomings of traditional MPPT systems but also provides stability, reliability, and improved efficiency in extracting maximum energy from solar PV modules.

Industries can benefit from implementing these solutions by maximizing their power output, reducing carbon emissions, and enhancing overall operational efficiency.

Application Area for Academics

The proposed project on enhancing the MPPT algorithm by hybridizing Fuzzy Logic and PID controller with the use of the BAT optimization technique can greatly enrich academic research, education, and training in the field of renewable energy systems and power electronics. This project has the potential to contribute to innovative research methods, simulations, and data analysis within educational settings by providing a more efficient and reliable way to track the maximum power point of solar PV modules. Researchers in the field of renewable energy systems can benefit from the code and literature of this project to further explore the optimization of MPPT algorithms and improve the efficiency of solar energy conversion systems. Postgraduate students pursuing their MTech or PHD studies can use the proposed work as a basis for their research and delve into the hybridization of control techniques in renewable energy systems. The application of Fuzzy Logic and PID controller hybridized with BAT optimization in MPPT algorithms can be extended to other research domains such as control systems, artificial intelligence, and optimization techniques.

This interdisciplinary approach can open up new avenues for academic research and foster collaboration between different research fields. In the future, the scope of this project could be expanded to include real-time implementation of the proposed MPPT algorithm on hardware platforms for practical applications. This could lead to the development of more effective and efficient solar energy systems that can contribute to reducing carbon emissions and mitigating the effects of global warming.

Algorithms Used

BAT optimization technique is used to optimize the Proportional (P), Derivative (D), and Integral (I) values of the PID controller in the proposed work. This optimization technique ensures that the PID controller is operating at its best, contributing to the overall performance of the system. Fuzzy logic is incorporated to provide stability to the system and offer fast tracking to the MPPT algorithms. This helps in improving the efficiency and reliability of the system. Overall, the hybridization of Fuzzy Logic and PID controller, along with the optimization from the BAT algorithm, plays a crucial role in achieving the desired results in the power sector project by enhancing accuracy and efficiency in the Maximum Power Point Tracking Controller (MPPT) for solar PV systems.

Keywords

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SEO Tags

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