i-manager Publications

i-manager's Journal on Power Systems Engineering (JPS)

Current Issue Vol. 13 Issue 1

Control and Analysis of Compressed Air Energy Storage System Integrated with PV Solar System
Energy and Power Performance Analysis of a Hybrid Electric Two-Wheeler
Implementation of Charging Station for Electric Vehicle using Solar Panel with IoT
A Comprehensive Review on Evolution of Energy Management Systems in Microgrids: From Traditional Optimization to AI-Driven and Decentralized Architectures
Emerging Trends in Wind Energy-Harnessing Innovation for a Sustainable Future

Most Cited

Volume 13 Issue 1 April - June 2025

Research Paper

Control and Analysis of Compressed Air Energy Storage System Integrated with PV Solar System

Ali Mohammed Abdela * , Yeshitela Shifertaw Maru **

*-** Department of Electrical Engineering, Power System and Automation, Defence University, College of Engineering, Bishoftu, Ethiopia.

Abdela, A. M., and Maru, Y. S. (2025). Control and Analysis of Compressed Air Energy Storage System Integrated with PV Solar System. i-manager’s Journal on Power Systems Engineering, 13(1), 1-7.

Abstract

This paper presents the modeling, control, and performance analysis of a hybrid energy system integrating a photovoltaic (PV) solar system with a Compressed Air Energy Storage (CAES) system. This integrated system aims to address the intermittency of solar energy by utilizing excess PV energy to compress and store air, which is later expanded to drive a turbine connected to an induction generator during periods of low solar irradiance. The generator output also supplies to the compressor motor for making a recycled CAES system and maintain it for a long duration. A comprehensive mathematical model is developed for the PV and CAES subsystem, incorporating maximum power point tracking (MPPT), DC-DC boost conversion, and power electronics interfacing. PID controllers are used for optimal pressure regulation and control of the CAES system cycle. The entire systems is simulated using MATLAB/Simulink. Results validate enhanced power reliability, improved load support during PV system intermittency, and overall system efficiency in a renewable energy system microgrid context.

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[16]. Zhang, X., Zeng, R., Deng, Q., Gu, X., Liu, H., He, Y., & Li, H. (2019). Energy, exergy and economic analysis of biomass and geothermal energy based CCHP system integrated with Compressed Air Energy Storage (CAES). Energy Conversion and Management, 199, 111953.

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Research Paper

Energy and Power Performance Analysis of a Hybrid Electric Two-Wheeler

Balasaheb Annasaheb Kardile* , Abhijeet Bhikashet Auti, Mahasidha Ramgonda Birajdar*, Amol Bhimrao Ubale****

- Department of Mechanical Engineering, KJE's Trinity College of Engineering and Research, Pune, Maharashtra, India.

** Department of Mechanical Engineering, Zeal College of Engineering and Research, Pune, Pune, Maharashtra, India.

Kardile, B. A., Auti, A. B., Birajdar, M. R., and Ubale, A. B. (2025). Energy and Power Performance Analysis of a Hybrid Electric Two-Wheeler. i-manager’s Journal on Power Systems Engineering, 13(1), 8-16.

Abstract

This study presents a real-time energy management system for hybrid electric two-wheelers, leveraging Controller Area Network (CAN) data to optimize power distribution between the internal combustion engine and electric motor based on dynamic load inputs. The proposed EMS improves fuel efficiency, reduces emissions, and enhances battery utilization through adaptive energy flow strategies. Additionally, predictive maintenance and intelligent control algorithms ensure optimal hybrid operation. The findings highlight the advantages of real-time load-based energy management over conventional drive cycle-based methods. Future research will explore the integration of vehicle-to-everything (V2X) communication for traffic-aware energy optimization and AI-driven predictive diagnostics. This study contributes to the advancement of sustainable and efficient hybrid two-wheeler technology, addressing critical gaps in adaptive energy management and real-world validation.

References

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Research Paper

Implementation of Charging Station for Electric Vehicle using Solar Panel with IoT

Sanika Kadam* , Shweta Kadam, Rameez Shamalik*

- Department of Electronics and Telecommunication, Bharati Vidyapeeth's College of Engineering for Women, Pune, Maharashtra, India.

Department of Computer Science and Engineering, MIT Art, Design and Technology University, Pune, Maharashtra, India.

Kadam, S., Kadam, S., and Shamalik, R. (2025). Implementation of Charging Station for Electric Vehicle using Solar Panel with IoT. i-manager’s Journal on Power Systems Engineering, 13(1), 17-22.

Abstract

The rise of electric vehicles (EVs) has intensified the need for reliable, sustainable, and intelligent charging infrastructure. Solar-powered EV charging stations, enhanced with Internet of Things (IoT) capabilities, offer a promising solution to meet this growing demand. This paper presents a comprehensive review of IoT-enabled solar charging systems, focusing on their architecture, key components, communication protocols, and technological integration. While these systems provide numerous environmental and operational benefits, they also pose challenges in areas such as cybersecurity, energy optimization, and system complexity. By examining existing research and technological developments, this paper highlights the transformative potential of combining solar energy and IoT technologies in EV charging stations, promoting cleaner, more connected, and efficient mobility solutions.

References

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Review Paper

A Comprehensive Review on Evolution of Energy Management Systems in Microgrids: From Traditional Optimization to AI-Driven and Decentralized Architectures

Sinchana P.* , Ankaliki S. G., Manjula S. Sureban*, Rangappa Batakurki****

*-**** Shri Dharmasthala Manjunatheshwara College of Engineering and Technology, Dharwad, Karnataka, India.

Sinchana, P., Ankaliki, S. G., Sureban, M. S. and Batakurki, R. (2025). A Comprehensive Review on Evolution of Energy Management Systems in Microgrids: From Traditional Optimization to AI-Driven and Decentralized Architectures. i-manager’s Journal on Power Systems Engineering, 13(1), 23-33.

Abstract

The transformation of energy management systems (EMS) in microgrids has evolved from traditional optimization techniques to intelligent, decentralized architectures driven by artificial intelligence (AI). This review work highlights the limitations of conventional programming methods such as linear, nonlinear, and mixed-integer models in handling the variability of renewable sources. Modern AI techniques, including deep reinforcement learning, bidirectional long short- term memory networks, and fuzzy logic controllers, provide real-time adaptability and predictive accuracy. Additionally, blockchain-based peer-to-peer (P2P) energy trading introduces secure, transparent, and autonomous coordination among distributed agents. Through a comparative analysis, this work underscores the benefits, challenges, and integration potential of these approaches, advocating for hybrid AI and optimization frameworks to enable resilient, efficient, and user-centric microgrid operations.

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Review Paper

Emerging Trends in Wind Energy-Harnessing Innovation for a Sustainable Future

Shilpa H. Gujar* , Abhijeet B. Auti, Mahasidha R Birajdar*, Amol Bhimrao Ubale****

- Department of Mechanical Engineering, Trinity College of Engineering and Research, Savitribai Phule Pune University, Pune, India.

** Department of Mechanical Engineering, Zeal College of Engineering and Research, Savitribai Phule, Pune University, Pune, India.

Gujar, S. H., Auti, A. B., Birajdar, M. R., and Ubale, A. B. (2025). Emerging Trends in Wind Energy-Harnessing Innovation for a Sustainable Future. i-manager’s Journal on Power Systems Engineering, 13(1), 34-41.

Abstract

The global transition to renewable energy has positioned wind power as a cornerstone of sustainable development, driven by technological advancements, policy support, and growing environmental imperatives. This paper explores the latest emerging trends in wind energy, focusing on innovations in turbine design, offshore wind expansion, digitalization, and energy storage integration. Advances such as larger, more efficient turbines with enhanced materials, floating wind farms unlocking deep-water potential, and artificial intelligence optimizing performance are reshaping the industry. Additionally, hybrid systems combining wind with battery storage and green hydrogen production are addressing intermittency challenges, enhancing grid reliability, and broadening wind energy applications. Drawing from recent case studies and research, this presentation will highlight how these trends are accelerating decarbonization, reducing costs, and expanding wind energy's role in the global energy mix. The discussion will also cover the challenges, such as supply chain constraints, environmental impacts, and regulatory hurdles, and propose strategies to overcome them. This exploration underscores wind energy's evolving landscape and its critical contribution to a cleaner, more resilient energy future.

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i-manager's Journal on Power Systems Engineering (JPS)

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Volume 13 Issue 1 April - June 2025

Control and Analysis of Compressed Air Energy Storage System Integrated with PV Solar System

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*-** Department of Electrical Engineering, Power System and Automation, Defence University, College of Engineering, Bishoftu, Ethiopia.

Abdela, A. M., and Maru, Y. S. (2025). Control and Analysis of Compressed Air Energy Storage System Integrated with PV Solar System. i-manager’s Journal on Power Systems Engineering, 13(1), 1-7.

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Energy and Power Performance Analysis of a Hybrid Electric Two-Wheeler

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*-*** Department of Mechanical Engineering, KJE's Trinity College of Engineering and Research, Pune, Maharashtra, India. **** Department of Mechanical Engineering, Zeal College of Engineering and Research, Pune, Pune, Maharashtra, India.

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Implementation of Charging Station for Electric Vehicle using Solar Panel with IoT

Sanika Kadam* , Shweta Kadam**, Rameez Shamalik***

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A Comprehensive Review on Evolution of Energy Management Systems in Microgrids: From Traditional Optimization to AI-Driven and Decentralized Architectures

Sinchana P.* , Ankaliki S. G.**, Manjula S. Sureban***, Rangappa Batakurki****

*-**** Shri Dharmasthala Manjunatheshwara College of Engineering and Technology, Dharwad, Karnataka, India.

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Emerging Trends in Wind Energy-Harnessing Innovation for a Sustainable Future

Shilpa H. Gujar* , Abhijeet B. Auti**, Mahasidha R Birajdar***, Amol Bhimrao Ubale****

*-*** Department of Mechanical Engineering, Trinity College of Engineering and Research, Savitribai Phule Pune University, Pune, India. **** Department of Mechanical Engineering, Zeal College of Engineering and Research, Savitribai Phule, Pune University, Pune, India.

Gujar, S. H., Auti, A. B., Birajdar, M. R., and Ubale, A. B. (2025). Emerging Trends in Wind Energy-Harnessing Innovation for a Sustainable Future. i-manager’s Journal on Power Systems Engineering, 13(1), 34-41.

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Balasaheb Annasaheb Kardile* , Abhijeet Bhikashet Auti, Mahasidha Ramgonda Birajdar*, Amol Bhimrao Ubale****

- Department of Mechanical Engineering, KJE's Trinity College of Engineering and Research, Pune, Maharashtra, India.

** Department of Mechanical Engineering, Zeal College of Engineering and Research, Pune, Pune, Maharashtra, India.

Sanika Kadam* , Shweta Kadam, Rameez Shamalik*

- Department of Electronics and Telecommunication, Bharati Vidyapeeth's College of Engineering for Women, Pune, Maharashtra, India.

Department of Computer Science and Engineering, MIT Art, Design and Technology University, Pune, Maharashtra, India.

Sinchana P.* , Ankaliki S. G., Manjula S. Sureban*, Rangappa Batakurki****

Shilpa H. Gujar* , Abhijeet B. Auti, Mahasidha R Birajdar*, Amol Bhimrao Ubale****

- Department of Mechanical Engineering, Trinity College of Engineering and Research, Savitribai Phule Pune University, Pune, India.

** Department of Mechanical Engineering, Zeal College of Engineering and Research, Savitribai Phule, Pune University, Pune, India.