P.Usha

@dsce.edu.in

Professor, department of Electrical & Electronics Engineering
Dayananda Sagar College of Engineering

P.Usha


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https://researchid.co/usha123

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Energy, Control and Systems Engineering
19

Scopus Publications

106

Scholar Citations

6

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Fuzzy logic-based energy management system for a microgrid with hybrid energy storage: design, control, and comparative analysis
    Suganthi Neelagiri, Pasumarthi Usha, Siddalingappagouda Biradar
    International Journal of Power Electronics and Drive Systems, 2025
    <p>This paper presents a fuzzy logic-based energy management controller for a microgrid with a hybrid energy storage system. The microgrid integrates intermittent renewable energy sources. To provide high quality, reliable and sustainable power, the microgrid depends on energy storage devices. The proposed fuzzy logic-based energy management controller controls the energy storage system’s power electronic converters by generating switching pulses based on the generation availability, load requirement, SOCs of battery, and supercapacitor. Additionally, a fuzzy logic-based energy management system is planned in such a way that high power needs are satisfied by supercapacitors and high energy needs are satisfied by batteries. To highlight the key benefits of utilizing a fuzzy logic-controlled hybrid energy storage system over PI -a controller-based cascaded dual loop energy management system, a comparative study is carried out. The results of the same is discussed elaborately in this paper. These studies were simulated using the MATLAB/Simulink software package.</p>
  • Advanced multi-source converters for DC microgrids: integrating photovoltaic, wind, and hybrid storage systems
    Suganthi Neelagiri, Pasumarthi Usha
    International Journal of Power Electronics and Drive Systems, 2025
    This paper presents a new configuration for integrating multi-source and hybrid energy storage (HES) systems tailored for a direct current (DC) microgrid. Unlike conventional multi-input converters, the proposed design features a hybrid energy storage system combining ultracapacitors and batteries. The proposed system is intended to effectively manage power variations from wind, photovoltaic (PV) sources, and abrupt load changes. The inclusion of ultracapacitors addresses high-frequency fluctuations, thereby extending battery life and reducing the overall size of the storage unit. The control framework is designed to maintain power balance within the system, ensuring that renewable energy sources operate at their maximum power points and that energy storage is efficiently charged and discharged based on power availability. The main advantages of this configuration include: i) a reduced number of switches, ii) built-in voltage boosting and regulation for the ultracapacitor, and power-sharing between the battery and ultracapacitor, and iii) a streamlined control system with fewer components. The paper details the investigation, modeling, and design of the planned system, supported by MATLAB simulation results.
  • Intelligent and Sustainable Power and Energy Systems
    M. Premkumar, Pasumarthi Usha, Sujit Kumar, Manikanta Gopisetti
    Intelligent and Sustainable Power and Energy Systems, 2025
  • Artificial Intelligence Enabled Smart Battery Controller for Accelerating Clean and Efficient Energy Management
    Kiran Hattalli, P Usha, Kiran S Hulihalli, Kushanth S S, Kousalyarama, et al.
    2025 International Conference on Circuits Controls and Communications Ccube 2025, 2025
  • IoT-Driven Solar-Powered Variable Speed Induction Motor System Aligned with Sustainable Development Goals
    A. Ajay Kumar, Pasumarthi Usha, Suganthi Neelagiri, A. Harshitha, K. Chethana, et al.
    Intelligent and Sustainable Power and Energy Systems, 2025
  • Microgrid confrontations and smart resolution
    Sangeeta Modi, Pasumarthi Usha
    International Journal of Power Electronics and Drive Systems, 2024
    Hybrid microgrids are emerging as an alternate solution for connecting distributed AC/DC energy resources. Effective fault detection and response are highly essential for the microgrid controller (MGC) for protection of the microgrid. The conventional schemes of protection cannot be applied in microgrid because of dynamic conduct and unconventional topology of the microgrids. It is highly essential to develop an appropriate scheme for detection and classification of faults for the effective protection of microgrids. In this paper, a novel and smart solution based on the application of an intelligent machine learning (ML) fine tree algorithm is applied to the hybrid microgrid controller. This algorithm resulted in effective detection & classification of faults which in turn was used for separation of faulty segment. The intelligent model obtained with the proposed algorithm performed well and fault detection accuracy has been showcased for various fault scenarios. The overall fault detection accuracy obtained is 98%. Severity of faults and associated confrontations are also discussed in this work. Performance efficacy of the proposed ML based protection algorithm for MGC is substantiated in MATLAB environment.
  • Modelling and control of grid connected microgrid with hybrid energy storage system
    International Journal of Power Electronics and Drive Systems, 2023
  • Predictive source management for low power domestic direct current grids
    Satish B. Ashwath Narayan, Pasumarthi Usha
    Indonesian Journal of Electrical Engineering and Computer Science, 2023
    The decrease in the price of solar photo voltaic (PV) panels has led to the widespread adoption of the solar power as a renewable energy source, not only at the grid level but also on the roof tops of the residential buildings. The solar PV panels produce direct current (DC) and can be readily used to drive DC powered loads or charge batteries. Direct powering of the loads from the solar panels is hindered by the highly variant nature of solar power generation which depends on a number of external as well as internal factors. The paper proposes a prediction based direct connection between PV panel and DC loads, only when the panel will be able to supply the required power to the load. The loads have been categorized based on how they need to be powered and their priority levels. The data specific to the rooftop was collected over two years using which the prediction of the panel output was carried out. Combining the load categorization and the power prediction a smart management system was designed which was able to decide on how the loads need to be powered and hence were connected to the appropriate source.
  • Energy management of PV wind based microgrid with hybrid energy storage systems
    Suganthi Neelagiri, Pasumarthi Usha
    International Journal of Power Electronics and Drive Systems, 2022
    Power demand all around the world is increasing day by day and conventional energy sources are getting depleted. In order to meet the power demand and to reduce the carbon emission caused by the conventional energy sources, alternate renewable energy sources are important. wind and solar are two reliable energy sources among the various renewable energy sources. In this proposed paper wind and photovoltaic (PV) energy-based direct current (DC) microgrid is proposed with super capacitor and battery hybrid energy storage systems. Constant DC link voltage is the replication of energy balance in DC microgrid. The main goal of the proposed microgrid energy management algorithm is to maintain the constant DC link voltage irrespective of the intermittent nature of the renewable energy sources, load variations and under fault conditions. Energy management system is designed such that battery energy storage system handles the average power requirements and super capacitor handles the transient power requirements caused by the load, renewable energy variation and also caused due to fault conditions. The proposed system improves battery life along with effective DC link voltage regulation. The proposed control algorithm of energy management is compared with conventional energy management system in MATLAB/Simulink and presented for various studies.
  • Multilayer Artificial Neural Network based Nano Grid of Hybrid PV/Wind and Energy Storage
    Tanuja H, P Usha
    2021 IEEE Mysore Sub Section International Conference Mysurucon 2021, 2021
    In the current scenario, fossil fuel-based electricity generation pollutes the environment and contributes to climate change. Photovoltaic (PV) and wind energy systems are encouraged to generate power, reduce pollution, and protect the Earth from climate change. This research paper focused on designing and modeling a N ano Grid using a hybrid Photovoltaic/Wind and battery storage system. The PV and wind energy systems are entirely reliant on natural resources. The PV and wind energy systems are entirely dependent upon natural resources. The generation of maximum electricity from PV and wind energy systems is a significant problem due to weather conditions and dependability. The MPPT algorithm is a critical part of the renewable energy generation process when it comes to delivering maximum power in non-linear weather circumstances. This paper proposes a new multi-layer artificial neural network algorithm (MANN) for MPPT of PV and wind energy systems. The power generation of PV and wind energy systems is unreliable due to sunlight and wind flow availability. One of the essential benefits for power producers is consistent power delivery to consumers. The proposed MANN controller was used to model and control the energy storage system in this study. Finally, the proposed nano grid model was simulated in Matlab, and the simulation results were analyzed to demonstrate the system's efficacy.
  • Modeling and Analysis of Dynamic Energy Management of DC Microgrid Using HESS
    Suganthi. N, P. Usha
    Proceedings of the 5th International Conference on Electronics Communication and Aerospace Technology Iceca 2021, 2021
  • Renewable energy source based microgrid: Control and dynamics
    Sangeeta Modi, P. Usha
    Lecture Notes in Electrical Engineering, 2021
  • Micro Grid: An Energy Efficient Approach for Modern Power System
    Kurian Kevin, Sangeeta Modi, P. Usha
    2019 IEEE International Conference on Distributed Computing VLSI Electrical Circuits and Robotics Discover 2019 Proceedings, 2019
  • Mathematical Modeling, Simulation and Performance Analysis of Solar Cell
    Sangeeta Modi, Kurian Kevin, P. Usha
    2018 International Conference on Power Energy Environment and Intelligent Control Peeic 2018, 2018
  • Design and fabrication of regulated DC electronic load for testing power supplies and batteries
    Swaroop R Sadarjoshi, P Usha
    2016 IEEE 7th Power India International Conference Piicon 2016, 2017
  • Optimal load switching for low power islanded DC grids
    B A Satish, P. Usha
    2017 Innovations in Power and Advanced Computing Technologies I Pact 2017, 2017
  • Microgrid control: A comparative study on control strategies for controlling the circulating current
    Sangeeta Modi, Ashish Anand, P. Usha
    International Conference Communication Control and Intelligent Systems Ccis 2015, 2016
  • Dynamic performance of HVDC system with fuzzy controlled SMES
    P. Usha, P. Manohar
    2012 International Conference on Power Signals Controls and Computation Epscicon 2012, 2012
  • Dynamic performance of HVDC system with detailed SMES coil - A comparison
    P. Usha, P. Manohar, W. Ahmed
    Iet Conference Publications, 2011

RECENT SCHOLAR PUBLICATIONS

  • Renewable energy tree: Integrating solar and wind to achieve sustainable development goals
    P Usha, SYBS Praveen, PR Ganesh, ST Kotwal, S Neelagiri, RA Dani
    Sustainable Electrical Engineering and Intelligent Systems, 17-22 , 2025
    2025
  • Fuzzy logic-based energy management system for a microgrid with hybrid energy storage: design, control, and comparative analysis
    S Neelagiri, P Usha, S Biradar
    Int J Pow Elec & Dri Syst 16 (3), 1991-2004 , 2025
    2025
    Citations: 3
  • Intelligent and Sustainable Power and Energy Systems
    M Premkumar, P Usha, S Kumar, M Gopisetti
    CRC Press , 2025
    2025
  • IoT-Driven Solar-Powered Variable Speed Induction Motor System Aligned with Sustainable Development Goals
    AA Kumar, P Usha, S Neelagiri, A Harshitha, K Chethana, ...
    Intelligent and Sustainable Power and Energy Systems, 254-260 , 2025
    2025
  • Advanced multi-source converters for DC microgrids: integrating photovoltaic, wind, and hybrid storage systems
    S Neelagiri, P Usha
    Int J Pow Elec & Dri Syst 16 (2), 1261-1273 , 2025
    2025
  • A Novel Limit on Doubt Q -Fuzzy T-Ideals Under the Normalization of T-Algebra
    M Premkumar, K Kiruthika, A Salam, P Usha, H Girija Bai, A Prasanna
    International Conference on Intelligent Computing and Communication, 381-394 , 2024
    2024
  • Hybrid microgrid energy management using hybrid energy storage system
    S Neelagiri, P Usha
    Theory and Applications of Engineering Research Vol. 6, 39-55 , 2024
    2024
    Citations: 1
  • Reflection of Duplicating Operations in the Graphs [Formula: see text] and [Formula: see text] Based on the F-Centroidal Meanness Property
    AR Kannan, K Loganathan, P Usha, B Pattanaik
    Journal of Mathematics (Web) 2024 , 2024
    2024
  • Reflection of Duplicating Operations in the Graphs P n and P n ∘ K 1 Based on the F ‐Centroidal Meanness Property
    AR Kannan, K Loganathan, P Usha, B Pattanaik
    Journal of Mathematics 2024 (1), 2691033 , 2024
    2024
  • Suganthi N1
    P Usha
    J. Electrical Systems 20 (1), 68-81 , 2024
    2024
  • Predictive analysis of Low power DC loads in Residential Buildings
    BA Satish, P Usha
    IOP Conference Series: Materials Science and Engineering 1295 (1), 012004 , 2023
    2023
  • Design of Switched Capacitor Multilevel Inverter with Selective Harmonic Elimination
    CD Buddinni, P Usha
    IOP Conference Series: Materials Science and Engineering 1295 (1), 012018 , 2023
    2023
    Citations: 1
  • Microgrid Protection Challenges and Solution
    S Modi, P Usha
    IOP Conference Series: Materials Science and Engineering 1295 (1), 012014 , 2023
    2023
    Citations: 1
  • Predictive source management for low power domestic direct current grids
    SBA Narayan, P Usha
    Indonesian Journal of Electrical Engineering and Computer Science 31 (3 … , 2023
    2023
  • Modelling and control of grid connected microgrid with hybrid energy storage system
    S Neelagiri, P Usha
    Int. J. Power Electron. Drive Syst 14 (3), 1791-1801 , 2023
    2023
    Citations: 7
  • Fault analysis in hybrid microgrid for developing a suitable protection scheme
    S Modi, P Usha
    The Scientific Temper 14 (01), 256-263 , 2023
    2023
    Citations: 4
  • Design and development of INC-MPPT switched ZETA converter for solar PV arrays
    K Umapathi, G Kathiravan, P Usha
    2023 9th International Conference on Advanced Computing and Communication … , 2023
    2023
    Citations: 3
  • Energy management of PV wind based microgrid with hybrid energy storage systems
    S Neelagiri, P Usha
    Int. J. Power Electron. Drive Syst 13 (4), 2128-2138 , 2022
    2022
    Citations: 9
  • Microgrid protection and fault analysis
    S Modi, P Usha
    Int J Res Appl Sci Eng Technol 10, 4501 , 2022
    2022
    Citations: 3
  • Modeling and Analysis of Dynamic Energy Management of DC Microgrid Using HESS
    SNDP Usha
    5th International Conference on Electronics, Communication and Aerospace … , 2021
    2021
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Mathematical modeling, simulation and performance analysis of solar cell
    S Modi, K Kevin, P Usha
    2018 International Conference on Power Energy, Environment and Intelligent … , 2018
    2018
    Citations: 16
  • Energy management of PV wind based microgrid with hybrid energy storage systems
    S Neelagiri, P Usha
    Int. J. Power Electron. Drive Syst 13 (4), 2128-2138 , 2022
    2022
    Citations: 9
  • Micro grid: an energy efficient approach for modern power system
    K Kevin, S Modi, P Usha
    2019 IEEE International Conference on Distributed Computing, VLSI … , 2019
    2019
    Citations: 9
  • Modelling and control of grid connected microgrid with hybrid energy storage system
    S Neelagiri, P Usha
    Int. J. Power Electron. Drive Syst 14 (3), 1791-1801 , 2023
    2023
    Citations: 7
  • Microgrid Control: A Comparative Study on Control Stratagies for Controlling the Circulat-ing Current
    SDP usha
    IEEE International Conference on Communication, Control and Intelligent … , 2015
    2015
    Citations: 7
  • Wireless Power Transmission using Class E Power Amplifier from Solar Input
    DUP Aravind L
    International Journal of Engineering Research & Technology (IJERT) ISSN … , 2015
    2015
    Citations: 7
  • Speed control of Single Phase Induction Motor Using AC Chopper by Asymmetrical PWM Method
    DPU R.Suneeth
    International Journal of Advanced Research in Electrical, Electronics and … , 2014
    2014
    Citations: 5
  • Fault analysis in hybrid microgrid for developing a suitable protection scheme
    S Modi, P Usha
    The Scientific Temper 14 (01), 256-263 , 2023
    2023
    Citations: 4
  • Fuzzy logic-based energy management system for a microgrid with hybrid energy storage: design, control, and comparative analysis
    S Neelagiri, P Usha, S Biradar
    Int J Pow Elec & Dri Syst 16 (3), 1991-2004 , 2025
    2025
    Citations: 3
  • Design and development of INC-MPPT switched ZETA converter for solar PV arrays
    K Umapathi, G Kathiravan, P Usha
    2023 9th International Conference on Advanced Computing and Communication … , 2023
    2023
    Citations: 3
  • Microgrid protection and fault analysis
    S Modi, P Usha
    Int J Res Appl Sci Eng Technol 10, 4501 , 2022
    2022
    Citations: 3
  • Hybrid Two Stage Quasi Z Source Boost Converter for Photovoltaic Applications
    DPU i. Jyothi K
    IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) 12 (3), 43-50 , 2017
    2017
    Citations: 3
  • Dynamic performance of HVDC system with fuzzy controlled SMES
    P Usha, P Manohar
    2012 International Conference on Power, Signals, Controls and Computation, 1-5 , 2012
    2012
    Citations: 3
  • Modeling and Analysis of Dynamic Energy Management of DC Microgrid Using HESS
    SNDP Usha
    5th International Conference on Electronics, Communication and Aerospace … , 2021
    2021
    Citations: 2
  • Multilayer Artificial Neural Network based Nano Grid of Hybrid PV/Wind and Energy Storage
    PU Tanuja
    Mysore Sub Section International Conference (MysuruCon)2021, 824-830 , 2021
    2021
    Citations: 2
  • Renewable Energy Source Based Microgrid: Control and Dynamics
    SDP usha
    Innovations in Electrical and Electronic Engineering, 155-166 , 2020
    2020
    Citations: 2
  • Design and Implementation of Closed Loop Soft Switching Boost Converter using PI Controller
    PK P.Usha
    International Journal on Recent and Innovation Trends in Computing and … , 2018
    2018
    Citations: 2
  • Fuzzy logic controlled Bi-directional DC-DC Converter for Electric Vehicle Applications
    K Arpita, P Usha
    IOSR Journal of Electrical and Electronics Engineering 12, 51-55 , 2017
    2017
    Citations: 2
  • Design and fabrication of regulated DC electronic load for testing power supplies and batteries
    SR Sadarjoshi, P Usha
    2016 IEEE 7th Power India International Conference (PIICON), 1-6 , 2016
    2016
    Citations: 2
  • Microgrid: Future Key to Intelligent Power Network
    S Modi, A Anand, P Usha
    2015
    Citations: 2