Deployment of GRN-PBIL Framework With Integrated DG-DRM in Electric Vehicle Charge Scheduling for Welfare Maximisation Rajkumar Kasi, Chandrasekaran Nayanatara, Jeevarathinam Baskaran Iet Generation Transmission and Distribution, 2025 The rapid adoption of electric vehicles (EVs) in recent years has led to a surge in power demand, presenting challenges in maintaining grid stability and efficiency. In response, service providers must integrate EVs with renewable energy sources while addressing the intermittent nature of distributed generation (DG) and fluctuating demand. Demand response management (DRM) offers a solution by aligning energy usage with renewable energy availability and optimising grid performance. Modern distribution systems advocate for the prediction of station usage and service availability to estimate charging demand. This research explores the use of a gated recurrent network (GRN) model for scheduling EV charging, with the goal of reducing peak demand. The integration of optimal DRM with DG further enhances the performance. The proposed scheduling algorithm incorporates DG‐DRM to predict charging needs and alleviate peak load in the IEEE 33‐bus system and the real‐time utility network (RTUN)‐17 bus test system. Consumer participation in DRM maximises the total social benefit by lowering generation costs and congestion indices. A heuristic GRN model, combined with a probability‐based incremental learning algorithm, is introduced to tackle multi‐objective optimisation. The algorithm is tested across various scenarios, with EV scheduling carried out in the first phase and DRM with DG parameters optimised in the second. The results show the algorithm's superior performance in achieving the objective function compared to other computational methods.
V2G Technology in PHEVs for Sustainable Energy and Grid Stability J Baskaran, Aishwarya S, Nayanatara C, Saravanan D, Balavanitha A 2025 International Conference on Computational Innovations and Engineering Sustainability Iccies 2025, 2025 As global pollution levels rise and environmental concerns become increasingly significant, there is an increasing shift towards sustainable energy solutions, such as plug-in hybrid electric vehicles (PHEVs). They offer substantial energy storage capabilities, enabling them to store excess energy and return it to the grid during peak demand periods. This unique feature positions PHEVs as valuable assets for grid stability, providing support for power distribution and contributing to the efficiency and resilience of energy systems. Vehicle-to-Grid (V2G) technology, which facilitates bidirectional energy flow between electric vehicles and the power grid, represents a promising approach to addressing contemporary energy challenges. By integrating V2G systems, electric vehicles can not only function as mobile energy storage units but also assist in balancing supply and demand. Additionally, V2G systems can provide ancillary services such as frequency regulation, peak shaving, and load management, all of which are essential for the stable operation of modern power grids. Despite its potential, the integration of V2G technology faces a number of challenges, including technological limitations, economic feasibility, and regulatory complexities. Key challenges include the development of advanced charging infrastructure, improvements in battery technologies, and the establishment of policies that incentivize V2G participation. This paper explores the features, applications, benefits, and challenges of V2G technology, highlighting its potential to advance sustainable energy solutions and contribute to the evolution of smarter, more resilient power grids.
Distribution System Planning through Integrated Distributed Generation using the Shuffled Frog Leaping Algorithm Mohan S, C Nayanatara, Kundena Shweta, Swetha B J 4th International Conference on Power Energy Control and Transmission Systems Harnessing Power and Energy for an Affordable Electrification of India Icpects 2024, 2024 This research presents a new & integrated method to tackle the difficulties in distribution planning (DSP). It does this including distributed generation(DG), which promise in areas controlled by distribution utilities. The framework blends advanced optimization techniques with expert knowledge to find the best sizing placement of DG resources. The main goal is to both investment & operational linked to DG deployment. This includes covering system losses while also considering different scenarios. The model is designed to meet rising load demands. Interestingly, the optimized model uses the Shuffled Frog Leaping Algorithm, which helps achieve accurate & reliable planning results. Through a thorough present worth analysis of various scenarios, this study examines how viable it is to integrate DG as a key strategy for solving DSP issues. Overall, this integrated model contributes significantly to improving distribution system planning and offers a strategic way that merges distributed generation with strict optimization techniques, such as using the Shuffled Frog Leaping Algorithm effectively.
Flexible Strategy in Distributed Generation with Demand Side Management Arulselvam D, Nayanatara C, Priyadharshini M, Sathies Kumar T 4th International Conference on Power Energy Control and Transmission Systems Harnessing Power and Energy for an Affordable Electrification of India Icpects 2024, 2024 The previous two decades have been seen the interest has risen considerably for developing solution to improve the performance of power system in optimal energy consumption and energy management. The behaviour of the consumer conception is entirely based on the strategies of DRP-Demand response programs . In this research work, Hybrid Demand Response Program (DRP) is developed by utilising Time of use (ToU) and incentive based programs to reduce peak over load and cost of energy. To overcome the demand in the load, A hybrid renewable energy system using solar photo voltaic system and energy storage system has been proposed withoptimal sizing of Distributed Generation (DG). Based on our findings, we concluded that a hybrid demand response program integrated with HRES reduced peak demand by 5% to 8%, leading to an overall reduction in energy costs through the use of heuristic optimization techniques.
IoT Based Smart Electrolyte Bottle for Healthcare Sectors C Nayanatara, Vijayavarsshini M, Newlyn Mary A, Ananthi R 4th International Conference on Power Energy Control and Transmission Systems Harnessing Power and Energy for an Affordable Electrification of India Icpects 2024, 2024 IoT powered electrolyte bottle uses various sensors and microcontroller to continuously monitor the patients while receiving electrolyte supplementation and also to alert the caretakers while administrating the process. The proposed system prevents the backflow of blood into the electrolyte bottle by clamping the tube with the help of servomotor. This Quick intervention, backup of the data of patients in cloud database and alerting at the time of emergency is ensured in this system.
Autotrash Collecting Boat C. Nayanatara, Mahizhan S V, Surya M, Subam R 4th International Conference on Power Energy Control and Transmission Systems Harnessing Power and Energy for an Affordable Electrification of India Icpects 2024, 2024 The paper presents the design and development of an autonomous boat with enhanced waste management capability. It is designed to collect trash efficiently from any water body, segregating it into biodegradable and non-biodegradable components. Some of the core functionalities include autonomous navigation, obstacle avoidance, waste detection, and collection by a specialized mechanism. It is a combination of computer vision and machine learning algorithms that will do real-time identification and sorting of wastes. Biodegradable waste collected could either be treated on board or taken to a land-based treatment facility. The non-biodegradable fraction is stored for proper disposal. This offers an opportunity for significantly reducing marine pollution and impacts on a cleaner and healthier aquatic environment.
An Assessment on Cyber Security Challenges and Issues Associated with Cyber-Physical Power System and Electric Vehicle Charging Infrastructure Bala Vanitha A, Nayanatara C, Saravanan D, Aishwarya S, Sharmila P, P. Shanmugapriya 4th International Conference on Power Energy Control and Transmission Systems Harnessing Power and Energy for an Affordable Electrification of India Icpects 2024, 2024 As EVs become more widespread, the automotive industry is rapidly moving away from traditional gasoline-powered cars. This shift has led to a significant increase in the demand for EV charging infrastructure. The integration of electric vehicles (EVs) with power grids introduces intricate cyber-physical interdependencies that may be vulnerable to exploitation by malicious entities, thereby posing potential risks to some part or whole of the power systems. This paper explores the security vulnerabilities related to cyber threats arising from this integrated system and highlights both existing and evolving gaps in the security framework. Mitigating these issues is essential as the worldwide fleet of electric vehicles expands, increasing their influence on the power grid and hence affects the physical power system. The paper seeks to identify the cyber security challenges and issues in physical power system associated with compromised EVCS/EVs. This paper also encourages further research into the cyber-Security of smart EV charging systems and to strengthen the resilience of power system against such cyber threats.
Comprehensive Analysis and Performance Comparison of Anti-Lock Braking Controllers: Mechanisms, Variants, and Simulation Results K Rajkumar, C. Nayanathara, M. Hemalatha, Priyan T, Mohamed Wazil J, Basker M M 4th International Conference on Power Energy Control and Transmission Systems Harnessing Power and Energy for an Affordable Electrification of India Icpects 2024, 2024 This anti-lock braking system (ABS) can identify when a wheel locks up and modify the brake pressure to avert it. The primary goal of control is to apply the appropriate rotational force towards in achieving the wheel slip rate possible. There would exist an inherent correlation between this slip rate and the speed of the rotation of the wheels and the vehicle’s linear velocity. This paper offers an analysis that (ABS), including a detailed look at its mechanism and the different types of controllers that have been developed. It explores the fundamental principles, operational aspects, key components, advantages, and limitations associated with ABS. The controllers used in ABS are categorized into several types, including control types, which include PID, PD, ON-OFF (Bang-Bang), EBFD, and Fuzzy Logic Control. A quarter-vehicle model is used in the evaluation of the controllers both for longitudinal and rotational dynamics. The authors then compare the performances of different controllers using simulations of the breaking point delivered into the system.
Powering the EV Revolution: Charging Infrastructure Challenges and Innovations A. Ambika, M. Pravin Dharsaun, J. Shalini Priya, T. Porselvi, C. Nayanathara, S. Thennarasu 4th International Conference on Power Energy Control and Transmission Systems Harnessing Power and Energy for an Affordable Electrification of India Icpects 2024, 2024
Demand Response Framework for Minimizing Power Loss by Optimizing DG Parameters 13th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2022, 2022
Electrifying villages using microgrids C. Nayanathara, R. Srilatha Proceedings of the International Conference on Power Energy Control and Transmission Systems Icpects 2018, 2018
Design & development of series Hybrid Electric Vehicle C. Nayanatara, P. Shanmugapriya, G. Gurusivakumar, B. Thiruvenkadam 2014 International Conference on Computation of Power Energy Information and Communication Iccpeic 2014, 2014
