Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Computer Science, Control and Optimization
31
Scopus Publications
3925
Scholar Citations
20
Scholar h-index
85
Scholar i10-index
Scopus Publications
A novel development of advanced control approach for battery-fed electric vehicle systems K. M. Bhargavi, P. Ashwini Kumari, C. H. Hussain Basha, S. Girija Kanaka Jothi, V. Prashanth, Nayana Shetty Scientific Reports, 2024 In today's context, there is a clear preference for DC microgrids over AC microgrids due to their better compatibility with generating sources, loads, and battery energy storage systems (BESS). However, the intermittent nature of renewable resources disrupts the balance between power generation and load demand. It raises concerns regarding power management and quality in the power system. Control strategies are essential to address these challenges. This article focuses on developing a novel control strategy to ensure stability in microgrid systems. The proposed control structure utilizes a second-order multi-agent system (MAS) to enhance the power-sharing and coordination in the microgrid network. For effective control of battery energy storage units, a Voltage-Power (V-P) reference-based droop control and leader-follower consensus method is employed. The control approach consists of primary and secondary control layers. The primary layer uses a V-P reference-based droop control strategy to allocate load components to storage units. The secondary control layer aims to restore DC bus voltage using a MAS-based consensus protocol. The MAS approach offers greater flexibility and requires less computational power than other strategies such as Model Predictive Control (MPC). The enhanced control structure incorporates a current ratio modification loop to adjust the current ratio between the converters, thereby modifying gain and improving the voltage profile. This novel control optimizes the reliability and stability of the proposed DC microgrid system. The effectiveness of the enhanced consensus-based secondary control strategy is demonstrated using the MATLAB/Simulink platform.
Adaptive RAO ensembled dichotomy technique for the accurate parameters extraction of solar PV system P. Ashwini Kumari, C. H. Hussaian Basha, Fini Fathima, C. Dhanamjayulu, Hossam Kotb, Ali ELrashidi Scientific Reports, 2024 The parameter extraction process for PV models poses a complex nonlinear and multi-model optimization challenge. Accurately estimating these parameters is crucial for optimizing the efficiency of PV systems. To address this, the paper introduces the Adaptive Rao Dichotomy Method (ARDM) which leverages the adaptive characteristics of the Rao algorithm and the Dichotomy Technique. ARDM is compared with the several recent optimization techniques, including the tuna swarm optimizer, African vulture’s optimizer, and teaching–learning-based optimizer. Statistical analyses and experimental results demonstrate the ARDM's superior performance in the parameter extraction for the various PV models, such as RTC France and PWP 201 polycrystalline, utilizing manufacturer-provided datasheets. Comparisons with competing techniques further underscore ARDM dominance. Simulation results highlight ARDM quick processing time, steady convergence, and consistently high accuracy in delivering optimal solutions.
Application of DSO algorithm for estimating the parameters of triple diode model-based solar PV system P. Ashwini Kumari, C. H. Hussaian Basha, Rajendhar Puppala, Fini Fathima, C. Dhanamjayulu, Ravikumar Chinthaginjala, Faruq Mohammad, Baseem Khan Scientific Reports, 2024 Solar Photovoltaic (SPV) technology advancements are primarily aimed at decarbonizing and enhancing the resiliency of the energy grid. Incorporating SPV is one of the ways to achieve the goal of energy efficiency. Because of the nonlinearity, modeling of SPV is a very difficult process. Identification of variables in a lumped electric circuit model is required for accurate modeling of the SPV system. This paper presents a new state-of-the-art control technique based on human artefacts dubbed Drone Squadron Optimization for estimating 15 parameters of a three-diode equivalent model solar PV system. The suggested method simulates a nonlinear relationship between the P–V and I–V performance curves, lowering the difference between experimental and calculated data. To evaluate the adaptive performance in every climatic state, two different test cases with commercial PV cells, RTC France and photo watt-201, are used. The proposed method provides a more accurate parameter estimate. To validate the recommended approach's performance, the data are compared to the results of the most recent and powerful methodologies in the literature. For the RTC and PWP Photo Watt Cell, the DSO technique has the lowest Root Mean Square Error (RMSE) of 6.7776 × 10–4 and 0.002310324 × 10–4, respectively.
The experimental analysis of solar PV system under techno-environmental uncertainty with MPPT evaluation P. Ashwini Kumari, P. Geethanjali Aip Conference Proceedings, 2024 One of the promising renewable energy sources that has the ability to supply all the world's energy needs in the future is solar energy. The determination of the maximum output from a photovoltaic system remains a significant challenge for photovoltaic researchers. This paper presents an experimental analysis of uncertainties such as variation in irradiation, temperature,andtilt angle, on two polycrystalline solar modules of 80W each. An experimental set-up consisting of halogen bulbs with a mechanism to vary the tilt angle and irradiation is incorporated with a regulatory mechanism which serves as artificial light source. The experimental results and graphs illustrate the variation in different parameters which impact the power output. From the results it is suggested that tilt angle between (15-20) o C is best suited for extracting the maximum power at the specified location. Finally, a power conditioning circuit with MPPT control is adopted to verify the effect of the presented dynamics. A simulation study using MATLAB is also being conducted by considering battery as a load and charging and discharging of battery along with state of charge is presented to fit the proposed method for future battery charging application.
A Novel Hybrid Control Strategy for Power Management in a Grid Interactive Distributed Generation Nayana Shetty, Ashwini Kumari P, K R Deepa, Divya Shetty 4th International Conference on Sustainable Expert Systems Icses 2024 Proceedings, 2024 Distributed Generators (DG) are the formation of multi-source micro grid in a single architecture. The DGs are designed to regulate the voltage, current and frequency as per to the power requirement observed from the load terminals. The design of an optimum control strategy will improve the performance of the DG to certain extent. The proposed work forms a DG control system in a Matlab/Simulink simulation setup with PV, fuel cell (PEMFC) and Ultra-Capacitor for providing a reliable and regulated output to a power grid. The PV system employed in the work is equipped with an MPPT algorithm for supplying maximum power to the connected system. Also to overcome the intermittent nature of the PV cells, the work employs an ultra-capacitor and PEMFC. The ultra- capacitor regulates the output by addressing against the thermodynamic effect of the PEMFC. The system has a control strategy with a power electronic based interfacing circuit along with controller setups for maintaining the power quality. Hence the permitted voltage and frequency level of the grid system is maintained by the DG.
Arabic Tweets-Based Sentiment Analysis Using Optuna-Tuned Bidirectional Gated Recurrent Unit Classifier P Ashwini Kumari, Komuravelly Sudheer Kumar, Rajeshwari Patil, Myasar Mundher Adnan, Rajireddy Soujanya 2nd IEEE International Conference on Networks Multimedia and Information Technology Nmitcon 2024, 2024 Arabic sentiment analysis (ASA) is a dynamic field in Natural Language Processing (NLP) that applies Machine Learning (ML) techniques to understand the complex emotional tones that are present in Arabic text. By using ML techniques for sentiment analysis in Arabic, it can gain a deeper insight into human interactions within the verbal context. ASA is quite challenging due to its structural diversity and dialects. The proposed method uses a Bi-GRU classifier and optuna optimizer to enhance the ability to understand and analyze sequential data. The approach involves using a labeled Twitter dataset, pre-processing techniques, feature extraction, optuna optimization, and Bi-directional Gated Recurrent Unit (Bi-GRU) as a classifier. The results of this paper clarify the efficiency of DL models in accurately classifying sentiments in Arabic text, as illustrated by performance metrics such as 93.86® precision, 93.56® recall, 94.08® accuracy, and 93.88 F1 measure which is greater than the other existing methods like stacking logistic regression, Modified Switch Transformer (MST) and Bidirectional Long Short-Term Memory+ Dependency-based rules word embedding.
Optimal Energy Management in Microgrids with Improved Twin Delayed Deep Deterministic Policy Gradient Method Ashwini Kumari P, Sheetal Bagali, Lakshmanan M, Komuravelly Sudheer Kumar, Sree Lakshmi Done 2nd IEEE International Conference on Data Science and Network Security Icdsns 2024, 2024 Microgrids (MGs) are the smart power grids that combines renewable energy into power systems reliably in the client side. In order to operate and manage these power systems, it is necessary to deploy Energy Management Systems (EMS). Deep Reinforcement Learning (DRL) approach is proposed in this study to make optimal decisions of demand forecasts, energy generation, market prices by Optimal Energy Management (OEM). The proposed DRL algorithm considers the energy management and optimized decision making as a Partially Observable Markov Decision Process (POMDP). The uncertainties of MGs such as variations in renewable energy generation, demand fluctuations are solved by Improved Twin Delayed Deep Deterministic Policy Gradient (ITD3) algorithm. The ITD3 is a novel DRL algorithm efficiently captures uncertainties of energy generation with its continuous fast convergence speed and high robustness. The proposed method is trained with historical data and evaluated by error rate that captures uncertainties in data. The results demonstrated error rate of 2.03%, run time of 0.056 x 105 s which is less and accurate when compared against Multi-Agent Deep Q-Network (MADQN).
Designing and Analyzing a Voltage- Controlled Oscillator for the Front End Pradeep Kumar S, Ashwini Kumari P, Sheetal Bagali, Varsha P, Sanjana, Lavanya K International Conference on Intelligent Algorithms for Computational Intelligence Systems Iacis 2024, 2024 These devices are designed to intended to generate an output signal whose frequency fluctuates with the voltage amplitude of an input signal. The basic principle behind voltage-controlled oscillator is that an oscillator circuit's resonant frequency is controlled by a voltage in the fundamental idea of a voltage control oscillator (VCO). The oscillator's output frequency can be changed by adjusting the control voltage. In this paper we implement the circuit design of the Voltage Controlled Oscillator and analyze the different characteristics of voltage-controlled oscillator. Here we used Complementary MOS technique with GPDK90nm technology. The output sinusoidal waveform with frequency of 935Mhz is obtained. VCO are mostly used in the communication system especially wireless communication. Hence, they have huge application in digital communication. The stimulation of the circuit is done by using cadence tool.
Unmanned Smart Fire Fighting Systems for Forest and Wildlife Protection Ashwini Kumari P, Pradeep Kumar S, Karan P, Gagan K, Kiran Y S, Manohar N Proceedings of Nkcon 2024 3rd Edition of IEEE Nkss S Flagship International Conference Digital Transformation Unleashing the Power of Information, 2024 This paper proposes an innovative solution to enhance firefighting capabilities through the development of operated drone equipped with a fire extinguishing mechanism. This abstract introduces an unmanned smart fire fighting system designed to protect forest and wildlife from wild fire, this system employs with sensors and specialized drone intelligent features This project employs four drone motors integrated into a stable drone frame controlled by a flight controller. The utilization of foam cased PVC balls loaded with dry chemical agents for instant fire extinguishing, coupled with a gripper mechanism, underscores the project's commitment to efficiency and safety in combating fires. As technological advancements in unmanned aerial vehicles continue to evolve, this Drone project stands as a testament to the ongoing innovation in leveraging drone technology for critical emergency response scenarios. This technology provides an efficient approach to combating wildfires, minimizing damage to nature habitat’s and protecting wild life The fire detector detects the fire and provides the position and information to the control system. The control system dispatches a firefighting drone, which transports a PVC fire extinguisher to the appropriate area and drops the extinguisher.
Robotization of Agriculture Using Image Processing Techniques K.R Deepa, G Swetha, P Ashwini Kumari, M.S Veena, N Shamala, H Ravishankar 3rd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics Icdcece 2024, 2024
A 2.4GHz Low Noise Amplifier for 5G Application S Pradeep Kumar, Vishal Rathod, R Nataraj, Shaik Mohammed Zubair, Rohit Pal, P Ashwini Kumari 2nd IEEE International Conference on Data Science and Information System Icdsis 2024, 2024
A Novel Hybrid Control Strategy for Power Management in a Grid Interactive Distributed Generation N Shetty, A Kumari, KR Deepa, D Shetty 2024 4th International Conference on Sustainable Expert Systems (ICSES), 932-936 , 2024 2024
Arabic Tweets-Based Sentiment Analysis Using Optuna-Tuned Bidirectional Gated Recurrent Unit Classifier PA Kumari, KS Kumar, R Patil, MM Adnan, R Soujanya IEEE 8, 979-8-3503-7290-8 , 2024 2024
Unmanned Smart Fire Fighting Systems for Forest and Wildlife Protection A Kumari, P Kumar 2024 IEEE North Karnataka Subsection Flagship International Conference … , 2024 2024 Citations: 1
A novel development of advanced control approach for battery-fed electric vehicle systems KM Bhargavi, P Ashwini Kumari, CH Hussain Basha, ... Scientific Reports 14 (1), 20194 , 2024 2024 Citations: 8
Designing and Analyzing a Voltage-Controlled Oscillator for the Front End P Kumar, A Kumari, S Bagali 2024 International Conference on Intelligent Algorithms for Computational … , 2024 2024
Optimal Energy Management in Microgrids with Improved Twin Delayed Deep Deterministic Policy Gradient Method A Kumari, S Bagali, KS Kumar, SL Done 2024 International Conference on Data Science and Network Security (ICDSNS), 1-4 , 2024 2024
Adaptive RAO ensembled dichotomy technique for the accurate parameters extraction of solar PV system P Ashwini Kumari, CHH Basha, F Fathima, C Dhanamjayulu, H Kotb, ... Scientific reports 14 (1), 12920 , 2024 2024 Citations: 11
AB1732 PROFILE OF MULTISYSTEM INFLAMMATORY SYNDROME (MIS-C) IN INFANTS DURING THE SECOND WAVE OF SARS-CoV-2 PANDEMIC: AN OBSERVATIONAL CROSS-SECTIONAL STUDY R Gupta, A Maheshwari, D Mahto, S Basu, S Sehgal, A Kumar Annals of the Rheumatic Diseases 83, 2242 , 2024 2024
A 2.4 GHz Low Noise Amplifier for 5G Application SP Kumar, V Rathod, R Nataraj, SM Zubair, R Pal, PA Kumari 2024 Second International Conference on Data Science and Information System … , 2024 2024 Citations: 2
Robotization of Agriculture Using Image Processing Techniques KR Deepa, G Swetha, PA Kumari, MS Veena, N Shamala, H Ravishankar 2024 Third International Conference on Distributed Computing and Electrical … , 2024 2024 Citations: 1
Effect of oxygen-ion implantation on the local electronic structures of strontium-titanate single crystals: An investigation using synchrotron-based x-ray diffraction and x-ray … A Kumar, M Baral, A Kandasami, SK Mandal, R Urkude, S Bhunia, ... Journal of Applied Physics 135 (15) , 2024 2024 Citations: 5
The experimental analysis of solar PV system under techno-environmental uncertainty with MPPT evaluation PA Kumari, P Geethanjali AIP Conference Proceedings 2966 (1), 040027 , 2024 2024 Citations: 1
A comprehensive assessment of uranium in groundwater using IDW and EWQI in the Sahibganj district of Jharkhand, India. M Srivast, P Srivast, D Kumar, A Kumar 2024 Citations: 3
Multi-organ segmentation of organ-at-risk (OAR's) of head and neck site using ensemble learning technique S Singh, BK Singh, A Kumar Radiography 30 (2), 673-680 , 2024 2024 Citations: 10
Impact of natural disaster on the tourism possibilities: Case study of Himachal Pradesh L Pebam, A Gautam, AA Devi, M Kaur International Journal of Innovative Science and Research Technology 9 (3 … , 2024 2024 Citations: 7
Application of DSO algorithm for estimating the parameters of triple diode model-based solar PV system PA Kumari, CHH Basha, R Puppala, F Fathima, C Dhanamjayulu, ... Scientific Reports 14 (1), 3867 , 2024 2024 Citations: 38
Origin of microscopically coupled ferromagnetic Cu-ions in a distorted system of Cu-doped ZnO and their synchrotron-based electronic structures A Kumar, T Ghosh, Z Aabdin, J Roy, VK Verma, A Ghosh, SK Sahoo, ... AIP Advances 14 (2) , 2024 2024 Citations: 7
Assessment of arsenic toxicity in the human blood samples from Simri and Tilak Rai ka Hatta village through haematological, hormonal and free radicals study MS Rahman, SK Singh, A Kumar, AK Ghosh Arsenic in the Environment: Bridging Science to Practice for Sustainable … , 2024 2024
Exploring the Role of Explainable Artificial Intelligence in Decision-Making Processes for Analysational Systems DM Balungu, B Wahab, A Kumar Innovative Approaches in Computer Science within Higher Education—InnoCSE … , 2024 2024
Transforming the Digital Economy Through Artificial Intelligence: A Review of Current Trends and Future Directions DM Balungu, A Kumar, Y Badr Весенние дни науки ИнЭУ: сборник докладов Международной конференции … , 2024 2024
MOST CITED SCHOLAR PUBLICATIONS
Challenges in perishable food supply chains for sustainability management: A developing economy perspective A Kumar, SK Mangla, P Kumar, S Karamperidis Business Strategy and the Environment 29 (5), 1809-1831 , 2020 2020 Citations: 229
Parameter estimation for photovoltaic system under normal and partial shading conditions: A survey PA Kumari, P Geethanjali Renewable and Sustainable Energy Reviews 84, 1-11 , 2018 2018 Citations: 118
Adaptive genetic algorithm based multi-objective optimization for photovoltaic cell design parameter extraction PA Kumari, P Geethanjali Energy procedia 117, 432-441 , 2017 2017 Citations: 87
Plummer-Vinson syndrome and postcricoid carcinoma: late complications of unrecognized celiac disease Z Rashid, A Kumar, M Komar Official journal of the American College of Gastroenterology| ACG 94 (7), 1991 , 1999 1999 Citations: 43
Application of DSO algorithm for estimating the parameters of triple diode model-based solar PV system PA Kumari, CHH Basha, R Puppala, F Fathima, C Dhanamjayulu, ... Scientific Reports 14 (1), 3867 , 2024 2024 Citations: 38
Role of plant tissue culture in biodiversity conservation and economic development SK Nandi, A Kumar, LMS Palni Current science 77 (10), 1229-1231 , 1999 1999 Citations: 36
A review on pathogenicity of Aeromonas hydrophila and their mitigation through medicinal herbs in aquaculture. Heliyon 9: e14088 A Semwal, A Kumar, N Kumar 2023 Citations: 35
Internet of things (IoT) based multilevel drunken driving detection and prevention system using Raspberry Pi 3 V Siva Reddy R, A Kumari P arXiv e-prints, arXiv: 2004.10174 , 2020 2020 Citations: 28
Deranged mental homeostasis in medical students: evaluation of depression anxiety and stress among home and hostel students H Liaqat, U Choudry, A Altaf, J Sauleh, S Rahman, A Choudry, A Kumar, ... Acta Psychopathol 3 (1), 1-6 , 2017 2017 Citations: 28
Impact of solar panel on the transformer performance: A case study A Kumari, J Patra, N Pal, N Kumar Iranian Journal of Science and Technology, Transactions of Electrical … , 2020 2020 Citations: 27
Cutting management versus biomass and carbon stock of oak under high density plantation in Central Himalaya, India RP Yadav, JK Bisht, BM Pandey, A Kumar, A Pattanayak Applied Ecology and Environmental Research 14 (3), 207-214 , 2016 2016 Citations: 27
Thermo-mechanical transient analysis of reactor pressure vessel V Chaudhry, A Kumar, SM Ingole, AK Balasubramanian, UC Muktibodh Procedia Engineering 86, 809-817 , 2014 2014 Citations: 27
Odonata diversity at Sahastradhara (Sulphur springs), Dehra Dun, India, with notes on their habitat ecology A Kumar, A Mitra Fraseria (NS) 5 (1/2), 23-46 , 1998 1998 Citations: 25
Implementation of IoT in agriculture: A scientific approach for smart irrigation V Viswanatha, A Kumari, BM Sathisha 2022 IEEE 2nd Mysore sub section international conference (MysuruCon), 1-6 , 2022 2022 Citations: 23
Prioritizing components of package of integrated pest management in Indian mustard (Brassica juncea) in India for better economic benefit MS Yadav, S Godika, DK Yadava, N Ahmad, N Mehta, K Bhatnagar, ... Crop Protection 120, 21-29 , 2019 2019 Citations: 23
Carbon occlusion potential of rice phytoliths: implications for global carbon cycle and climate change mitigation K Prajapati, S Rajendiran, V Coumar, ML Dotaniya, A Kumar, S Kundu Appl Ecol Environ Res 14 (2), 265-281 , 2016 2016 Citations: 22
Genetic characterization of glufosinate‐ammonium tolerant summer rape lines A Kumar, G Rakow, RK Downey Crop science 38 (6), 1489-1494 , 1998 1998 Citations: 21
Development of Fire Detection surveillance using machine learning & IoT KR Deepa, AS Chaitra, K Jhansi, RD Anitha Kumari, MK Mallikarjun 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), 1-6 , 2022 2022 Citations: 20
Production and Characterization of Biosurfactant from Corynebacterium Species and Its Effect on the Growth of Petroleum Degrading Bacteria A Dwivedi, A Kumar, JL Bhat Microbiology 88 (1), 87-93 , 2019 2019 Citations: 20
Pathogenic and molecular variability among Brassica isolates of Alternaria brassicae from India P Goyal, C Chattopadhyay, AP Mathur, A Kumar, PD Meena, S Datta, ... Ann. Pl. Protec. Sci 21 (2), 349-359 , 2013 2013 Citations: 20
