Skill optimization algorithm for integrated planning of renewable energy sources and electric springs under uncertainty P.N. Rajnarayanan, M. Mary Linda, K. Kathiravan, T.A. Sivakumar Energy Reports, 2025 The growing penetration of renewable energy sources (RESs) and the rising electricity demand necessitate innovative grid management strategies. This study presents an optimization-based framework for reducing line losses and improving voltage profiles in distribution networks through the coordinated placement of electric springs (ESs) and RESs. Owing to their fast response, ESs can stabilize the grid and mitigate power fluctuations; however, their optimal placement for loss minimization has not been fully addressed. To overcome this challenge, a Skill Optimization Algorithm (SOA) is employed to determine the optimal co-location of ESs and RESs (wind and solar) within the distribution system. Six deployment scenarios are analyzed to assess system performance. The stochastic nature of wind, solar, and load demand is modelled using Weibull, lognormal, and normal probability distributions, respectively, with Monte Carlo simulation and scenario reduction applied for uncertainty handling. The proposed framework is validated on IEEE 33-bus and IEEE 69-bus systems. Results show that the SOA reduces line losses by 15–39 % in the IEEE 33-bus system and 12–23 % in the IEEE 69-bus system compared with existing methods. These findings highlight the strategic value of coordinated RES and ES deployment in enhancing grid reliability and supporting sustainable, intelligent energy systems.
Sustainable Conversion Process of Eggshell Waste Into Piezoelectric Nanocomposite for Windmill-based Energy Harvesting Systems M Mary Linda, KR Nishalini, S Aadarsh Prada, V Aravinth National Power Electronics Conference Npec 2025, 2025 This study proposes an eco-friendly strategy for energy harvesting by employing eggshell based piezoelectric materials to generate electrical energy from vibrational sources, particularly wind turbine blade oscillations. Utilizing the inherent properties of calcium carbonate in eggshells, nanostructured composites are fabricated to function as sustainable piezoelectric harvesters. These nanocomposites successfully transform mechanical stress to electrical signals with output levels to power low power electronic systems like wireless sensor networks and wearable devices. By comparing the conventional ceramic and polymer piezoelectrics with the proposed materials, it provides advantages like biodegradability, low environmental impact, mechanical durability, and cost-effective processing methods. Experimental reports indicate that similar bio-derived materials can achieve output voltages ranging from 10 V to 100 V, demonstrating their potential as competitive alternatives. This framework offers a sustainable pathway for integrating piezoelectric energy harvesting into applications such as self-powered biomedical devices, structural health monitoring, and renewable energy systems. The research is aimed at the synthesis and characterization of piezoelectric nanocomposites from eggshell and coconut husk for the fabrication of a cost-effective, ecofriendly, and mechanically robust platform capable of generating sufficient electrical output to power future low-power electronics and sensor networks.
Enhanced Fault Tolerance and Self-Healing DC-DC Converter for Uninterrupted Conversion in PV System M. Mary Linda, Deepak Joshi S, Gunarajan N, Arjun S National Power Electronics Conference Npec 2025, 2025 A DC-DC converter plays a prominent role in solar energy systems by enabling efficient DC voltage regulation at a relatively low cost. Despite their effectiveness, conventional converters often don't have sufficient fault tolerance, which may necessitate manual switching or intervention during faults. Enhancing the converter's ability to automatically detect and respond to faults remains a key area for improvement in order to increase system reliability and reduce reliance on human actions. Therefore, this paper proposed a design that incorporates a PWM modulation approach combined with a self-healing, isolation strategy, and reduces output ripple voltage. This results in a converter to improve System performance stability and reduce maintenance needs. The proposed topology and strategy are verified and checked using MATLAB/Simulink.
Gesture Control System Using Computer Vision Techniques M. Mary Linda, Karuppusamy. M, Kaviya. M, Udhayakumar. C 5th International Conference on Electronics and Sustainable Communication Systems Icesc 2024 Proceedings, 2024
