Renewable Energy, Sustainability and the Environment, Control and Systems Engineering, Energy Engineering and Power Technology
158
Scopus Publications
Scopus Publications
Design of twin delayed deep deterministic policy gradient RL based adaptive controller for DC motor speed regulation considering uncertainties P. Gaur, V. P. Singh, T. Varshney, P. Sanjeevikumar, A. Mathur Scientific Reports, 2026 Reinforcement learning offers efficient solutions for optimizing complex decision-making tasks through continuous state-action-reward cycle with real-time adaptability. This work presents twin delayed deep deterministic (TD3) policy gradient RL based adaptive speed controller for the DC motor model while considering the impact of various uncertainties from dynamic environment into account. Various benchmark controller techniques are also utilized for similar objective in order to perform comparative analysis. Responses of each controller are plotted for both constant and variable desired speeds to evaluate their efficacy, robustness, and adaptability to uncertainties. Values of various types of error indices, including integral of squared error (ISE), integral of time-weighted absolute error (ITAE), integral of absolute error (IAE), integral of time-weighted squared error (ITSE), and their respective time-weighted variants are calculated, and tabulated for each type of speed controller for both test cases. Error indices analysis is also utilized to compare, and evaluate each controller’s tracking precision and error minimization qualities in dynamic operating conditions for efficient speed regulation for the DC motor.
EV Integrated Standalone PV Water Pumping System With Priority Control Based nG2V and V2nG Modes Anuradha Tomar, Akash Deep Verma, Prerna Gaur IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 2026 Electric vehicle integrated standalone photovoltaic water pumping systems offer a promising solution for enhancing sustainable development with growing economies in remote/rural regions in developing nations. However, high costs, technological complexity, low awareness, limited funding and policy barriers have restricted research in this area. This article proposes an innovative system with bidirectional V2nG/nG2V energy flow. It utilises a novel dynamic priority-based control strategy fused with developed PR-supported secondary droop control. The system utilizes EV battery storage as an auxiliary energy reservoir to enhance water pumping processes reliability and operational efficiency, mitigating the impact of fluctuating solar irradiance. The proposed dynamic priority control algorithm optimally orchestrates energy distribution among the PV array, EV battery and SCIM-based water pump by dynamically adapting to user defined priority settings, real-time system conditions and load demand fluctuations. This technology ensures user-prioritized water pumping and improves system performance. Its novelty lies in integrating EVs in a low voltage V2nG/nG2V, a standalone PV water pumping with dynamic priority control. To verify performance, Controlled Hardware-in-the-Loop (C-HIL) validates real-time control performance. Despite rapid irradiance changes, power transitions are smooth, DC bus voltage remains stable & the system stays steady under low-voltage conditions, confirming effective PV energy utilization.
Reinforcement Learning Based Speed Controller for Higher Order Electric Vehicle System P. Gaur, V. P. Singh, A. Mathur 5th IEEE International Conference on Sustainable Energy and Future Electric Transportation Sefet 2025, 2025 Electric vehicles (EVs) are credible solution for revolutionizing transportation sector towards sustainable future. This paper focuses on the design and implementation of the speed controller for higher order EV (HOEV) system. Later, a priorly existing reduced order model (ROM) of the HOEV, which is derived by utilizing Routh approximation (RA) method and moments matching (MM) method, is exploited for simplifying the design process. Further, reinforcement learning (RL) based control technique is implemented to regulate it’s actual speed. The proposed RL-based controller is trained to track the desired speed while ensuring stable and efficient performance in dynamic environment. Speed versus time responses are plotted while considering constant and variable desired speeds as two test cases to evaluate the effectiveness of proposed controller.
Design of Lipták Method Based Speed Controller for Electric Vehicle P. Gaur, V. P. Singh, A. Mathur 5th IEEE International Conference on Sustainable Energy and Future Electric Transportation Sefet 2025, 2025 Electric vehicles (EVs) are credible solution for revolutionizing transportation sector towards sustainable future. This paper focuses on the design of the speed controller using Lipták method. The impact of uncertainties on the controller’s performance is also investigated to test its robustness and efficacy. Further, it’s performance has been compared with Ziegler-Nichols (ZN) method based controller. Speed versus time responses are plotted for both constant and variable desired speeds in order to perform qualitative analysis between both controllers. The performance indices are also calculated and compared to validate speed controller’s effectiveness for EV system.
Techno-Economic Analysis of a Solar-Biogas-Grid Integrated EV Charging Station for Campus Harsh Mohan Sharma, Anuradha Tomar, Prerna Gaur 5th IEEE International Conference on Sustainable Energy and Future Electric Transportation Sefet 2025, 2025 The increasing adoption of electric vehicles necessitates the development of sustainable and cost-effective charging infrastructure. This study examines a multi-energy electric vehicle (EV) charging facility that combines solar photovoltaic (SPV) devices with biogas generator while also integrating grid power systems. An evaluation of the system determines its operational capability along with financial stability. This study analyses university campus environment that needs electric vehicle charging services for 25 daily-operating vehicles among which 15 belong to residential staff. The proposed system relies on SPV panel energy generation and integrates biomass processing through a biogas generator. The analysis discovers the most suitable system configuration by examining simulations results by a newly defined function. The result demonstrates that the proposed system both lowers charging expenses, decreases carbon footprints and guarantees dependable EV charging systems. The combination has net present cost (NPC) of $2.59M with levelized cost of energy (LCOE) $0.0933/kWh and operating cost $23,998/yr having system renewable fraction of 96.51%.
Transforming Insights Into Action: My ILC 2025 Experience [Women in Engineering] Prerna Gaur, Yunting Liu, Yasha L. Ali IEEE Power Electronics Magazine, 2025 The IEEE Women in Engineering International Leadership Conference (ILC) 2025 was held in San Jose, California, in May 2025. Volunteers from the Power Electronics Society (PELS) Women in Engineering (WIE) Committee had the honor of attending and actively participating in this inspiring event. In this article, the authors reflect on their experiences at ILC 2025, highlighting key takeaways, personal growth, and strategies for implementing change within their local communities. This year, the IEEE Power Electronics Society proudly sponsored the conference and supported one of the invited session speakers through its newly established travel grant program. The recipient, also one of the authors of this article, Prof. Prerna Gaur from the NSUT Delhi (West Campus), contributed to the event with a powerful session on leadership and empowerment. The article also features highlights from the keynote addresses, along with reflections from the PELS WIE volunteers on recent initiatives within their local chapters.
Dynamic Optimization of SPV-Driven EVCS Using Intelligent Control Techniques Agrima Chandra, Anuradha Tomar, Prerna Gaur 5th IEEE International Conference on Sustainable Energy and Future Electric Transportation Sefet 2025, 2025 This paper showcases the modeling and design of a renewable energy-based Electric Vehicle Charge Station (EVCS) energy system with Solar Photovoltaics (SPV). The proposed off-grid, standalone charging station is intended to be deployed in rural areas where the electricity grid is not accessible or in urban areas where Electric Vehicles (EV) rush is high and it lowers the grid stress. It is highly adaptable because it is designed with an MPPT-influenced SEPIC, which optimally controls the operating points of the SPV system through dynamic optimization of the latter by approaching its maximum power extraction, under changing environmental conditions. The charging strategies for the EV battery, which represents the Li-ion battery, include Constant Current (CC) and Constant Voltage (CV) for charging control. Furthermore, Fuzzy Logic-Controlled (FLC) coordination for CC-CV control provides better flexibility and sturdiness in comparison with conventional Proportional Integral (PI) control in overcoming nonlinearities and real-time variations in the said system. The combined use of Particle Swarm Optimization (PSO) and FLC would optimize energy management and fast charging at charger end which optimizes the power for EV charging and priority charging of several EVs in accordance with their SoC is maintained through the charging control. The proposed system is modeled and simulated in MATLAB/SIMULINK to show performance. The results indicate that the FLC PSO-based CC-CV control significantly improves charging efficiency, charging speed and stability of the charging station.
Six-Mode Mathematical Modelling of Electric Vehicle System Considering Gradient Effect P. Gaur, S. Naz, V. P. Singh, A. Mathur, A. V. Waghmare, T. K. Bashishtha 5th IEEE International Conference on Sustainable Energy and Future Electric Transportation Sefet 2025, 2025 The rise of electric vehicles (EVs) is revolutionizing the transportation sector and promoting an eco-friendly future. In this study, the impact of gradient of road on overall speed and performance of EV is studied. For same objective, initially mathematical modeling of free body diagram of EV is presented, considering various forces acting on it while moving along slope. Further, the generalized transfer function (TF) is obtained for EV in which input is motor voltage and output is overall velocity. Parameter calculations are performed for deriving six-modes of TF of EV. These calculations are carried out for different types of terrain to study gradient’s influence on EV’s performance. To validate the outcomes obtained, step, impulse, Bode and Nichols responses are plotted along with time domain specifications.
Mitigating Destructive Effects of Partial Shading Condition Over Photovoltaic Arrays: A Consumer-Oriented Reconfiguration Approach Diwaker Pathak, Prerna Gaur, Ashi Gautam, Akash Deep Verma, Anuradha Tomar, P. Sanjeevikumar IEEE Transactions on Consumer Electronics, 2025 Harvesting the maximum power of solar PV (SPV) arrays during the partial shading condition (PSC) is a major challenge for energy utilization at consumer’s end. As reported in the literature, optimizing the electronic configurational positions of SPV modules in arrays can mitigate these issues significantly. This article examines the novel application of the Horned Lizard optimization algorithm (HLOA) to generate the optimal PV array matrix for reconfiguration based on the advanced fitness function. The persuasiveness of the proposed reconfiguration algorithm is validated for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${n} \times {n}$ </tex-math></inline-formula> as well as <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${n} \times {m}$ </tex-math></inline-formula> SPV arrays under a newly developed realistic moving cloud model of PSC. Moreover, results obtained by the proposed reconfiguration approach are compared to those attained by previously reported conventional and potential metaheuristic-enabled reconfigurations in terms of various performance matrices. Furthermore, to examine and validate the superiority of the proposed reconfiguration approach, a real-time simulation environment is developed with dSPACE MicroLabBox and Typhoon HIL 404. The approximate shading pattern generated through the developed moving cloud model. The obtained characteristics illustrate the efficacy of the proposed approach to benefit the consumers in case of complex PSCs.
Implementation of metaheuristic MPPT approaches for a large-scale wind turbine system Applied Artificial Intelligence AI to Green Power Technology, 2022
Message Proceedings 3rd IEEE India Council International Subsections Conference Impactful Innovations for Benefits of Society and Industry Indiscon 2022, 2022
A REVIEW OF MPPT FOR PHOTOVOLTAIC SYSTEM 12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018, 2018
Modified Variable Step Incremental-Conductance MPPT Technique for Photovoltaic System 12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018, 2018
Self-Tuning Fuzzy PID Controller for Servo Control of Hard Disk Drive with Time Delay 11th Indiacom 4th International Conference on Computing for Sustainable Global Development Indiacom 2017, 2017
Various intelligent control techniques for attitude control of an aircraft system Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
A comparative analysis between MRAC and FMRAC for an unstable system Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
An enhanced hybrid fuzzy logic controller for robotic manipulator Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
Image acquisition and colour based segregation of objects using LabVIEW Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
Design, analysis and performance of zeta converter in renewable energy systems Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016