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All Journal Bulletin of Electrical Engineering and Informatics Control Systems and Optimization Letters
Aziz, Tareq
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Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Challenges and Future Prospects of Electric Vehicles Using Hybrid Energy in Bangladesh - A Case Study Aziz, Tareq; Dodaev, Zohar Al; Hossain, Md. Taufiq; Khan, Md. Yakub Ali
Control Systems and Optimization Letters Vol 2, No 2 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i2.96

Abstract

The main objective of this paper is to review the current challenges and prospects of Electric Vehicles based hybrid energy in Bangladesh. Electric cars (EVs) are a viable way to lessen transportation's negative environmental effects and wean us from fossil fuels. EV adoption has a lot of promise in Bangladesh, where environmental sustainability and energy security are major concerns. However, there are a few obstacles to the general adoption of EVs, including limited infrastructure, high upfront prices, and range anxiety. The difficulties and potential benefits of EVs using hybrid energy in Bangladesh are examined in this case study. It has been reviewed the infrastructure's preparedness, present level of EV adoption, and main obstacles for implementation. In addition, it has been suggested tactics to address these issues, such as public awareness campaigns, infrastructure development, and regulatory changes. It is considered to look at how hybrid energy systems, which combine traditional power grids and renewable energy sources, can power EVs and improve energy sustainability. Bangladesh can achieve sustainable transportation goals, decrease greenhouse gas emissions, and expedite the shift to electric mobility by utilizing hybrid energy solutions and tackling systemic issues. Policymakers, industry stakeholders, and scholars can use this case study to gain important insights into how Bangladesh's energy transition and EV adoption are changing.
A Review on Integration Challenges for Hybrid Energy Generation Using Algorithms Aziz, Tareq; Dodaev, Zohar Al; Halim, Md. Abdul; Khan, Md. Yakub Ali
Control Systems and Optimization Letters Vol 2, No 2 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i2.85

Abstract

The main objective of this paper is to review the challenges associated with the integration used in multiple energy generation from renewable energy sources. There are a number of obstacles that must be overcome for the successful integration of various energy sources and storage technologies in a hybrid energy generation system. Algorithms are very crucial for multiple energy generation due to the integration of renewable energy sources, optimum resource allocation, load balancing, system stability and real time decision making. Demand response, load forecasting, and intelligent decision-making algorithms are examples of successful management tactics that may be used to allocate power from various sources according to availability and cost-effectiveness. To operate effectively, algorithms must take into consideration many variables such as state of the batteries, load changes, and weather. The difficulties with circuit design, algorithm design, source management and switching control in hybrid energy generation systems with numerous sources are covered in this paper. These difficulties include maximizing power generation and usage from each source, dynamic power output adjustment based on energy availability and demand, and smooth source changeover. The paper emphasizes how crucial integration of renewable energy sources, using proper algorithm and switching control among energy sources are for successfully integrating various energy sources. Voltage compatibility, current balance, and surge protection are among the difficulties in circuit design. Switching control techniques are very important fact to guarantee smooth switching between energy sources but minimizing power disturbance during source switching and maintaining a steady power supply throughout the process are challenges in switching control. The challenges in circuit and algorithm design for hybrid energy generation systems with multiple sources are highlighted in this review. Hybrid energy generation systems can accomplish effective use of renewable energy sources and contribute to a sustainable energy future by successfully overcoming these obstacles. Algorithms for optimization could be used to weigh environmental sustainability against economic viability while accounting for energy prices, carbon emissions, and lifecycle analysis.
A Review on Techno-Economic Perspective of a Smart Grid and its Challenges Rana, Md Juel; Tareq, Abdulla al; Hasan, Md Mehedi; Aziz, Tareq; Neidhe, Md Mushfiqur Rahman
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.v2i1.83

Abstract

This study undertakes a thorough analysis of the techno-economic perspective related to smart grids. It investigates how to improve sustainability and efficiency in power systems by integrating cutting-edge technology. Important elements included in the evaluation include distribution automation, improved metering infrastructure, communication technologies, and the incorporation of renewable energy sources. Examined are the financial effects of implementing smart grids, including cost-benefit analysis, operational effectiveness, and consumer empowerment. The study also lists and analyzes barriers to broad adoption, such as legislative frameworks, cybersecurity threats, and interoperability problems. The study discusses each of these issues in detail, providing insights into the underlying difficulties and possible solutions. It underlines how crucial it is for stakeholders to work together, invest in cutting-edge technology, and change regulations in order to get beyond these challenges and create an energy ecosystem that is more intelligent, effective, and sustainable.
Microgrid Technologies for Remote Islands of Bangladesh - A Review Dodaev, Zohar Al; Aziz, Tareq; Ali, Md. Sumon; Ibrahim, Saleh
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.v2i1.86

Abstract

Issues about fuel exhaustion, electrical shortages, and global warming are growing increasingly serious as a result of the global energy crisis. Solar and wind energy, both of which are clean and sustainable, provide solutions to these issues via distributed generators. Microgrids have emerged as a research hotspot as a crucial interface for connecting the power produced by dispersed renewable energy generators to the electrical system. The main objective of this paper is to review the technical aspect of microgrid in remote islands of Bangladesh. Microgrid technologies provide great promise for tackling the particular energy difficulties encountered by Bangladesh's outlying islands. This review explained the application, benefits, and limitations of microgrid solutions in the context of these isolated places in depth. The review draws on a wide range of academic literature and addresses the technical aspects of microgrid architecture and renewable energy source integration. The evaluation looks at how renewable energy sources like hydroelectric systems, wind turbines, and solar photovoltaics (PV) can be integrated. To identify the best combination for producing power, this entails evaluating the resource availability, intermittency, and variability of various renewable sources. Furthermore, the unmet load, electricity in excess and technological future of technical aspect has been discussed in this review. Employment in society, comfortable life and ecosystem of social aspect of microgrid has also been discussed. Risk analysis, sensitivity analysis and scenario analysis have been explained here in this paper. This review provides significant insights for policymakers, academics, and practitioners aiming to deploy efficient and sustainable energy solutions for Bangladesh's remote islands. This review will also assist decision-makers in adopting microgrids for rural electrification and in establishing regulations that are helpful and clear for the operation and integration of microgrids. System effectiveness, energy storage, and grid management breakthroughs may result from research and development of microgrid technology.
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.
Optimized electric vehicle charging allocation with overload management and vehicle to grid support Hamim, S. J.; Rahman, Imran; Yeamin, Md.; Saleh, Abdullah; Aziz, Tareq
Bulletin of Electrical Engineering and Informatics Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i6.10728

Abstract

The rapid proliferation of electric vehicles (EVs) in residential distribution networks poses significant challenges, particularly in managing peak demand and maintaining grid stability during the peak demand periods. This study employs a day-ahead EV charging framework in compliance with valley-filling technique to align charging during off-peak periods for a centralized residential charging station that balances grid stability with customer satisfaction. To mitigate network overloading, vehicle to grid support is integrated through optimization based on genetic algorithm (GA), enabling optimal scheduling of both charging and discharging activities under operational constraints. Simulation outcomes substantiate the efficacy of the proposed charging scheme in preventing overloads and demonstrate a notable enhancement in the load factor from 70.68% to 82.24%, reflecting enhanced utilization of energy resources. The approach offers technical and economic benefits for both utilities and EV users, highlighting its potential for scalable and efficient grid management.
Co-Authors Abdullah Saleh, Abdullah Ali, Md. Sumon Dodaev, Zohar Al Hamim, S. J. Hasan, Md Mehedi Hossain, Md. Taufiq Ibrahim, Saleh Joy, Tamal Ahammed Khan, Md. Yakub Ali Md. Abdul Halim, Md. Abdul Neidhe, Md Mushfiqur Rahman Rahman, Imran Rahman, Md. Shahriar Rana, Md Juel Tareq, Abdulla Al Yeamin, Md.