i-manager Publications

i-manager's Journal on Electrical Engineering (JEE)

Current Issue Vol. 18 Issue 1

PV-Grid Performance Improvement through Integrated Intelligent Water Drop Optimization with Neural Network for Maximum Power Point Tracking
Advancements in Smart Meter Design and Integration for Enhanced Energy Management and Efficiency
A Digital Healthcare Monitoring System with Real-Time Analysis
GTO Technique Based Hybrid Power System Controller Design
Electric Vehicles in Modern Transportation: Environmental Impacts, Configurations, and Future Trends - A Review

Most Cited

Volume 18 Issue 1 July - September 2024

Research Paper

PV-Grid Performance Improvement through Integrated Intelligent Water Drop Optimization with Neural Network for Maximum Power Point Tracking

Abhishek Kumar Sahu* , Durga Sharma, Anup Mishra*

* Department of Electrical and Electronics Engineering, Bhilai Institute of Technology, Raipur, Chhattisgarh, India.

Department of Electrical and Electronics Engineering, Dr C. V. Raman University, Bilaspur, Chhattisgarh, India.

* Bhilai Institute of Technology Durg, Chattisgarh, India.

Sahu, A. K., Sharma, D., and Mishra, A. (2024). PV-Grid Performance Improvement through Integrated Intelligent Water Drop Optimization with Neural Network for Maximum Power Point Tracking. i-manager’s Journal on Electrical Engineering, 18(1), 1-11.

Abstract

This paper presents an optimized model that combines the Intelligent Water Drop (IWD) optimization algorithm and a neural network (NN) for maximum power point tracking (MPPT) in photovoltaic (PV) applications. The proposed approach demonstrates superior performance compared to conventional methods, including Fuzzy Logic Control, Perturb and Observe (P&O), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Incremental Conductance (INC) control. The enhanced model improves adaptability and convergence due to the optimization capabilities of the IWD algorithm and leverages the predictive characteristics of the NN for faster and more accurate tracking. The results indicate that this model offers significant potential for future-generation PV systems, particularly in solar energy applications.

References

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[6]. Huang, H., Zhou, M., Zhang, S., Zhang, L., Li, G., & Sun, Y. (2020). Exploiting the operational flexibility of wind integrated hybrid AC/DC power systems. IEEE Transactions on Power Systems, 36(1), 818-826.

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[8]. Ali, M. H. M., Mohamed, M. M. S., Ahmed, N. M., & Zahran, M. B. A. (2022). Comparison between P&O and SSO techniques based MPPT algorithm for photovoltaic systems. International Journal of Electrical and Computer Engineering (IJECE), 12(1), 32-40.

[9]. Wellawatta, T., & Choi, S. J. (2016). An improved incremental conductance MPPT method for the photovoltaic generation. In Proceedings of the KIPE Conference (pp. 185-186). The Korean Institute of Power Electronics.

[10]. Katche, M. L., Makokha, A. B., Zachary, S. O., & Adaramola, M. S. (2023). A comprehensive review of Maximum Power Point Tracking (MPPT) techniques used in solar Pv systems. Energies, 16(5), 2206.

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Research Paper

Advancements in Smart Meter Design and Integration for Enhanced Energy Management and Efficiency

Shawanti Roy* , Sayan Paramanik, Krishna Sarker*

* Department of Electrical and Electronics Engineering, St. Thomas' College of Engineering and Technology, West Bengal, India.

-* Department of Servicing, Statcon Electronics India Ltd, Uttar Pradesh, India.

Roy, S., Paramanik, S., and Sarker, K. (2024). Advancements in Smart Meter Design and Integration for Enhanced Energy Management and Efficiency. i-manager’s Journal on Electrical Engineering, 18(1), 12-25.

Abstract

The integration of smart meters into contemporary energy infrastructure is paramount for optimizing energy utilization and efficiency. This paper delves into a comprehensive exploration of smart meter design and operation using microcontroller-based simulation through Proteus Professional software. Incorporating essential components such as OPAMP LM358, XOR Gate 74LS386, resistors, capacitors, diodes, transformers, and microcontrollers, the smart meter aims to precisely measure and monitor power consumption. Moreover, it envisions seamless integration with connectivity technologies like GPRS, Public Network, Corporate Network, and Global Gateway to facilitate real-time communication and data exchange. By fostering a symbiotic relationship between smart meters and the smart grid, this integration strives to elevate energy management practices, curtail wastage, and foster sustainability. The paper elucidates the conceptual framework, design principles, and potential benefits of this integration, thus setting the stage for future advancements in smart energy infrastructure. Notably, the proposed smart meter boasts the capability to measure various electrical parameters including Voltage, Current, Frequency, Energy, Phase Angle, Active power, Reactive power, making it pivotal for big data analysis, thereby underscoring its significance in contemporary energy management endeavours.

References

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[2]. Giaconi, G., Gündüz, D., & Poor, H. V. (2017). Smart meter privacy with renewable energy and an energy storage device. IEEE Transactions on Information Forensics and Security, 13(1), 129-142.

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[12]. Liu, Z., Wang, D., Wang, J., Wang, X., & Li, H. (2020). A blockchain-enabled secure power trading mechanism for smart grid employing wireless networks. IEEE Access, 8, 177745-177756.

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[14]. Mbungu, N. T., Naidoo, R. M., Bansal, R. C., & Vahidinasab, V. (2019). Overview of the optimal smart energy coordination for microgrid applications. IEEE Access, 7, 163063-163084.

[15]. McBee, K. D., & Simões, M. G. (2012). Utilizing a smart grid monitoring system to improve voltage quality of customers. IEEE Transactions on Smart Grid, 3(2), 738-743.

[16]. Morello, R., De Capua, C., Fulco, G., & Mukhopadhyay, S. C. (2017). A smart power meter to monitor energy flow in smart grids: The role of advanced sensing and IoT in the electric grid of the future. IEEE Sensors Journal, 17(23), 7828-7837.

[17]. Mustafa, M. A., Cleemput, S., Aly, A., & Abidin, A. (2019). A secure and privacy-preserving protocol for smart metering operational data collection. IEEE Transactions on Smart Grid, 10(6), 6481-6490.

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Research Paper

A Digital Healthcare Monitoring System with Real-Time Analysis

Krishna Sarker* , Koustuv Sarkar**

*-** Department of Electrical and Electronics Engineering. St. Thomas' College of Engineering and Technology, West Bengal, India.

Sarker, K., and Sarkar, K. (2024). A Digital Healthcare Monitoring System with Real-Time Analysis. i-manager’s Journal on Electrical Engineering, 18(1), 26-41.

Abstract

In the contemporary landscape of healthcare, the demand for efficient and proactive monitoring solutions is paramount. Digital healthcare monitoring systems, leveraging cutting-edge technologies such as the Internet of Things (IoT), have emerged as transformative tools in revolutionizing health data collection, analysis and utilization. This paper presents a comprehensive overview of a Digital Healthcare Monitoring System with Real-Time Analysis, aimed at providing continuous, real-time monitoring of vital health parameters through a custom-built mobile application. The system integrates various sensors including the DHT11 for temperature and humidity, the MAX30102 for heart rate and SpO2 and the AD8232 for ECG monitoring, facilitated by the NodeMCU microcontroller. The collected data is processed and transmitted to a mobile application for visualization and analysis in real-time, enabling timely interventions and improved patient outcomes. Key objectives of the system include real-time monitoring, multi-sensor integration, remote accessibility, alerts and notifications, data analytics, user-friendly interface, scalability and interoperability. Through rigorous methodology encompassing hardware and software integration, testing, and calibration, the system ensures accuracy, reliability and user engagement. The initiative underscores the transformative potential of digital health technologies in fostering proactive and personalized healthcare, ultimately leading to better health outcomes and quality of life.

References

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Research Paper

GTO Technique Based Hybrid Power System Controller Design

V. S. R. Pavan Kumar Neeli* , Nerella Sameera**

*-** Department of Computer Science and Engineering, Vignan's Foundation for Science, Technology and Research, Vadlamudi, Guntur, Andhra Pradesh, India.

Neeli, V. S. R. P. K., and Sameera, N. (2024). GTO Technique Based Hybrid Power System Controller Design. i-manager’s Journal on Electrical Engineering, 18(1), 42-49.

Abstract

In this paper, a controller is designed for a hybrid power system using a soft computing technique. The power system consists of a PV system, fuel cell, aqua electrolyzers, diesel engine generator, and a battery energy storage system. The system's frequency is controlled by a proportional-integral (PI) controller and a proportional-integral-derivative (PID) controller. A powerful optimization technique, called the Gorilla Troops Optimizer (GTO), is used to optimize the controller gains of the proposed hybrid power system. The system responses with GTO optimization-based controllers are compared with those using the Particle Swarm Optimization technique. Finally, the frequency responses show that the GTO-based controller is more effective in mitigating frequency variations in the system.

References

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[7]. Neeli, V. S. R. P. K., Sameera, N., Kumar, M. S., and Ayyappa, J. (2021). Frequency stabilization of multi area autonomous hybrid power system using single and multi objective SALP swarm algorithm. i-manager's Journal on Power Systems Engineering, 8(4), 39-49.

[8]. Pavan Kumar Neeli, V. S. R., & Salma, U. (2020). Automatic generation control for autonomous hybrid power system using single and multi-objective salp swarm algorithm. In Intelligent Computing, Information and Control Systems: ICICCS 2019 (pp. 624-636). Springer International Publishing.

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Review Paper

Electric Vehicles in Modern Transportation: Environmental Impacts, Configurations, and Future Trends - A Review

Jayababu Badugu* , Kottavari Lakshmi Sravani, Gangadhar Ramanjaneyulu, Ambati Akhila , Kuchipudi Raja Ratnam

* Vignan's Lara Institute of Technology and Science, Vadlamudi, Guntur, Andhra Pradesh, India.

-*** Department of Electrical and Electronics Engineering, Vignan's Lara Institute of Technology and Science, Guntur, Andhra Pradesh, India.

Badugu, J., Sravani, K. L., Ramanjaneyulu, G., Akhila, A., and Ratnam, K. R. (2024). Electric Vehicles in Modern Transportation: Environmental Impacts, Configurations, and Future Trends - A Review. i-manager’s Journal on Electrical Engineering, 18(1), 50-62.

Abstract

This review provides a concise history of road transport vehicles and analyzes the environmental problems caused by them. Many issues have arisen as a result of modern transportation, such as air pollution, global warming, and the depletion of fossil fuels. The article covers the current and future electric vehicle needs of key nations. It explains various types of electric vehicles and discusses several configurations of Hybrid Electric Vehicles (HEVs), including series, parallel, series-parallel, torque-coupling, and speed-coupling systems, and how they function. The article concludes by discussing potential future prospects for engineers and the electric vehicle industry.

References

[1]. Alanazi, F. (2023). Electric vehicles: Benefits, challenges, and potential solutions for widespread adaptation. Applied Sciences, 13(10), 6016.

[2]. Badugu, J., Nagaraju, M., & Hanumaiah, A. (2023a). Harmonic analysis of different types of EV chargers on residential distribution systems. Journal of Engineering Science & Technology Review, 16 (1), 138–144.

[3]. Badugu, J., Obulesu, Y. P., & Babu, C. S. (2019a). Recharging methods of electric vehicles in residential distribution systems. Journal Européen des Systèmes Automatisés, 52(6), 617-623.

[4]. Badugu, J., Obulesu, Y. P., & Babu, C. S. (2019b, October). Development of demand side management strategy for smart residential distribution system embedded with EV load. In TENCON 2019-2019 IEEE Region 10 Conference (TENCON) (pp. 1655-1660). IEEE.

[5]. Badugu, J., Obulesu, Y. P., & Sai Babu, C. (2018). Investigation of THD analysis in residential distribution systems with different penetration levels of electric vehicles. International Journal of Electrical and Computer Engineering Systems, 9(1), 21-27.

[6]. Badugu, J., Reddy, G. N., & KUMAR, K. V. (2022). Dynamic harmonic domain approach to assess performance of three-phase fixed capacitor thyristor controlled reactor (FC-TCR). i-manager's Journal on Electrical Engineering, 16(2), 28-40.

[7]. Badugu, J., Reddy, G. N., & Kumar, K. V. (2023c). Maximizing solar-powered charging and discharging of electric vehicles in residential and parking areas: A case study in optimal scheduling. i-manager's Journal on Electrical Engineering, 16(4), 21-32.

[8]. Badugu, J., Reddy, G. N., & Kurakula, V. K. (2023b). Critical review on integration of electric vehicles into residential distribution system. i-manager's Journal on Power Systems Engineering, 10(4), 38-52.

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i-manager's Journal on Electrical Engineering (JEE)

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Volume 18 Issue 1 July - September 2024

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* Department of Electrical and Electronics Engineering, Bhilai Institute of Technology, Raipur, Chhattisgarh, India. ** Department of Electrical and Electronics Engineering, Dr C. V. Raman University, Bilaspur, Chhattisgarh, India. *** Bhilai Institute of Technology Durg, Chattisgarh, India.

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Abhishek Kumar Sahu* , Durga Sharma, Anup Mishra*

* Department of Electrical and Electronics Engineering, Bhilai Institute of Technology, Raipur, Chhattisgarh, India.

Department of Electrical and Electronics Engineering, Dr C. V. Raman University, Bilaspur, Chhattisgarh, India.

* Bhilai Institute of Technology Durg, Chattisgarh, India.

Shawanti Roy* , Sayan Paramanik, Krishna Sarker*

* Department of Electrical and Electronics Engineering, St. Thomas' College of Engineering and Technology, West Bengal, India.

-* Department of Servicing, Statcon Electronics India Ltd, Uttar Pradesh, India.

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* Vignan's Lara Institute of Technology and Science, Vadlamudi, Guntur, Andhra Pradesh, India.

-*** Department of Electrical and Electronics Engineering, Vignan's Lara Institute of Technology and Science, Guntur, Andhra Pradesh, India.