I. Arul Doss Adaikalam

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S. Gomathi

Saveetha University

S. Jaanaa Rubavathy

Saveetha University

Revathi Ganesan

Saveetha University

P. V. Sreenivasan

Koneru Lakshmaiah Education Foundation

S. Sudha Merlin

S. Muthukaruppasamy

Anna University, Chennai

R. Puviarasi

Saveetha University

K. Jayashree

Rajalakshmi Engineering College

N. Shanthi

Jain University

K. Manimekalai

St. Joseph's Institute of Technology

Cooperative Institutions

Saveetha University

Anna University, Chennai

St. Joseph's Institute of Technology

St. Joseph’s College of Engineering

Velammal Educational Trust

Social Change and Development

Yes Technologies (United States)

Rajalakshmi Engineering College

PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH

Bharathiar University

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Particle swarm optimization based demand response program with fixed and different elasticities

Shodhganga (2020)

I. Arul Doss Adaikalam

Demand Response

Source

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Closed Loop Performance Analysis of AFZ Converter with Improved Voltage Stability

S. Sudha Merlin I. Arul Doss Adaikalam D. Kirubakaran Revathi Ganesan S. Jaanaa Rubavathy

The primary objective of this research study is on the simulation and modeling of a DC-DC MIC module powered by solar panels. It is suggested that a type-Zeta resonant reset autotransformer forward converter (AFZ) be used. The AFZ converter's key characteristics are its low component count, simplicity, and good dynamic performances that are on par with those of the Forward converter. Notable features of this component include its ability to step the voltage, an optimized autotransformer with only two windings, and lower power loss. Notable features of this part include its voltage-stepping capacity, and decreased power losses. The resonant reset of an autotransformer of type Zeta allows for soft switching transitions. To reduce noise in sliding mode control, many scientists have turned to fuzzy logic. Only a small number of researchers have adopted the novel strategy of incorporating SMC within a FLC. The impact of autotransformer leakage inductance is factored into a theoretical analysis of closed-loop SMC and FLC controlled steady-state. The time domain response of the converter is compared to that of SMC and FLC controlled systems. The theoretical analysis verify results from the experiments.

Autotransformer

Leakage inductance

10.1109/icosec58147.2023.10276118

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Wireless Charging Station System for Autonomous Drone

G. Irin Loretta S. Jaanaa Rubavathy I. Arul Doss Adaikalam K. Malarkodi Revathi Ganesan

Modern world moving towards drones for delivery, the necessity to develop suitable charging solution for these drones is imminent. Charging stations are required to make these drones work. Drones can be charged with these intelligent wireless charging stations. Unmanned aerial vehicles (UAVs) that can deliver small packages are known as delivery drones. Drones typically utilize rechargeable Lithium-ion batteries to provide the thrust required to fly and attach packages beneath the drone's body. In practical application, these drones work autonomously and hence require smart wireless charging solution to overcome various limitations. Creating number of smart wireless charging station systems form a smart charging hub to charge these autonomous drones. These charging stations use direct AC supply and sends it to mini transformer circuit for the purpose of mutual induction. The charging station will have primary coil while the charger in the drone have secondary coil. Mutual induction takes places between these two coils, AC power is transferred into the secondary coil which is converted into suitable DC power using rectifier and regulator to charge the drone. Drone uses GPS to track location of the nearby charging station and uses sensors to get it placed on the charging stand with maximum

Drone

Inductive charging

Charging station

10.1109/icosec58147.2023.10276035

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Demand Response Program with Different Elasticities

Iranian Journal of Science and Technology Transactions of Electrical Engineering (2019)

I. Arul Doss Adaikalam C. K. Babulal

Demand Response

Load management

Elasticity

Dynamic demand

Demand reduction

Demand side

10.1007/s40998-019-00299-z

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Recent Trends in Wireless Charging Technologies for Electric Mobility Systems

Advances in mechatronics and mechanical engineering (AMME) book series (2024)

J. Nandha Gopal S. Muthukaruppasamy G. Arun Sampaul Thomas I. Arul Doss Adaikalam B. Karthikeyan

Wireless charging technologies represent a transformative leap in the realm of electric mobility, promising a paradigm shift from conventional plug-in charging methods to more convenient and efficient solutions. This chapter delves into the intricacies of wireless charging, spanning its technological foundations, current state of development, and potential implications for the future of e-mobility. The evolution of wireless charging is marked by the emergence of inductive and resonant wireless charging systems, each with its unique advantages. Inductive charging utilizes electromagnetic fields generated between the coils in the charging pad and the vehicle, allowing for efficient power transfer over short distances. On the other hand, resonant wireless charging introduces resonant magnetic fields, extending the charging range and enhancing flexibility in positioning.

Inductive charging

Wireless Power Transfer

10.4018/979-8-3693-5247-2.ch003

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Improved load frequency control in dual-area hybrid renewable power systems utilizing PID controllers optimized by the salp swarm algorithm

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024)

P. V. Sreenivasan D. Lakshmi N. Shanthi I. Arul Doss Adaikalam S. Amudhapriya

In this study, we utilize the salp swarm algorithm (SSA) to optimize proportional integral derivative (PID) controller gains for load frequency control (LFC) in a multi-area hybrid renewable nonlinear power system. Incorporating generation rate constraints and dead-bands into the governor model, we examine system nonlinearities. Performance evaluation employs both single- and multi-objective functions, with actual sun irradiation data validating SSA-PID controllers' efficacy in managing renewable energy source uncertainties. Comparing with alternative optimization techniques across various operational scenarios reveals the SSA-PID controller's 15% improvement in dynamic response time. The findings suggest SSA enhances LFC dynamic response in hybrid renewable power systems, with potential generalizability. These results underscore SSA's utility in addressing system complexities, offering implications for improved stability and efficiency across renewable energy integration scenarios.

10.11591/ijpeds.v15.i3.pp1711-1718

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Smart solar maintenance: IoT-enabled automated cleaning for enhanced photovoltaic efficiency

Indonesian Journal of Electrical Engineering and Computer Science (2024)

R. Puviarasi K. Jayashree I. Arul Doss Adaikalam D. Somasundaram P. V. Sreenivasan

This innovative project aims to increase the effectiveness and user experience of solar panel systems by introducing a state-of-the-art dust and speck removal system. Leveraging cutting-edge technology, the system demonstrates a remarkable 32% increase in power output compared to dirty solar panels. The approach is characterized by its reliance on the universe as the system controller, reducing the need for manual intervention and minimizing the workforce required for panel cleaning. The proposed timed system utilizes water and wipers, facilitated by internet of things (IoT) technology, microcontrollers, and sensor modules for efficient and automated operation. An Android application provides user control and notifications about ongoing processes. The system’s adaptability for various settings is emphasized, offering a portable solution. The smart IoT based automatic solar panel cleaning ensures reliable performance, underscoring the project’s commitment to improve scalability, cost-efficiency, performance, integrity, and consistency.

Adaptability

10.11591/ijeecs.v35.i1.pp14-19

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Fuel Cell Electric Vehicle Performance and Analysis using Hydrogen

I. Arul Doss Adaikalam Karthikeyan Chandrasekaran S. Philip Raja K. Manimekalai R. Manimegalai

10.1109/icosec61587.2024.10722506

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