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Joy, Tamal Ahammed
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Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Comparative Analysis of the MPPT Algorithm in a Residence and a Grid-Connected Solar PV System Under Partial Shade Conditions - A Review Dodaev, Zohar Al; Aziz, Tareq; Rahman, Md. Shahriar; Joy, Tamal Ahammed
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.91

Abstract

The abstract gives a clear overview of the study's aims, techniques, and conclusions. The authors compare Maximum Power Point Tracking (MPPT) algorithms in two different solar photovoltaic (PV) system setups such as a home system and a grid-connected system, both running in partial shade. The study's goal is to review the performance of various MPPT algorithms in these settings and provide insights into their effectiveness in improving energy extraction from PV panels. The authors evaluate and assess various MPPT approaches and their adaptation to various system settings using tracking efficiency and conversion efficiency. This can be evaluated through algorithmic complexity analysis, hardware implementation considerations, and simulation studies using software tools like MATLAB/Simulink or PSpice. The paper explores the impact of partial shade on solar PV systems and its implications for energy output using a complete evaluation of relevant literature and empirical data. The authors evaluate the feasibility of MPPT algorithms for reducing the negative impacts of partial shading, concentrating on their capacity to track the maximum power point of the panels rapidly and correctly. The review also takes into account system efficiency, response time, and computing complexity. The findings of this study offer valuable insights into the performance of MPPT algorithms in the context of residential and grid-connected solar PV systems operating under partial shade conditions. The authors highlight the strengths and limitations of different MPPT techniques and provide recommendations for selecting appropriate algorithms based on the specific application. The comparative analysis sheds light on the challenges posed by partial shading and underscores the importance of advanced MPPT strategies in improving the overall efficiency and energy yield of solar PV systems. Overall, this paper contributes to the understanding of MPPT algorithms' role in enhancing solar energy utilization in both residential and grid-connected settings, particularly when dealing with partial shade scenarios.
A Comprehensive Review of Integrated Energy Management for Future Smart Energy System Ali, Md Shopan; Sharma, Anik; Joy, Tamal Ahammed; Halim, Md Abdul
Control Systems and Optimization Letters Vol 2, No 1 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i1.77

Abstract

The main objective of this paper is to review the integration of energy management for future smart energy systems. The authors hope to address the developing landscape of energy management in the context of new smart energy systems in this review. The paper conducts a thorough review of integrated energy management methodologies that maximize energy generation, consumption, and distribution within these systems. The study assesses the multifarious solutions that enable effective and sustainable energy consumption by considering many components such as renewable energy sources, storage technologies, demand-side management, and grid interactions. The authors present insights into the problems and opportunities inherent in realizing the potential of future smart energy systems through an in-depth assessment of recent research, case studies, and advances in energy management. The assessment focuses on the inherent problems and opportunities associated with pursuing integrated energy management in smart energy systems. The application of cutting-edge sensing, communication, and control technologies to electrical grids has been studied to increase resilience, efficiency, and dependability. Real-time monitoring, analysis, and optimization of energy flows are made possible by the integration of cutting-edge sensors, communication systems, and control algorithms into electrical grids. Variable renewable energy sources, such solar PV and wind power, may now be seamlessly integrated into the grid thanks to advancements in renewable energy integration technologies. Case studies have shown how smart grid technologies can optimize energy management and save system costs. Integrating various DERs into grid operations has been the main focus of advancements in energy management. The paper navigates through the intricate considerations that stakeholders must make to maintain the resilience and sustainability of future energy systems, from dealing with the intermittent nature of renewable sources to maximizing energy dispatch mechanisms. The study reveals the revolutionary potential of a holistic approach to energy management by studying the changing role of digital technologies, data analytics, and predictive algorithms. Finally, this review contributes to a better knowledge of integrated energy management techniques, opening the path for a more robust, responsive, and environmentally friendly energy landscape.
Co-Authors Ali, Md Shopan Aziz, Tareq Dodaev, Zohar Al Halim, Md Abdul Rahman, Md. Shahriar Sharma, Anik