Assistant Professor

Dr Mrutyunjaya Mangaraj

Department of Electrical and Electronics Engineering

Interests

  • Power Quality
  • Renewable Energy Integration
  • Artificial Intelligence

Faculty Details

Education

2006

Berhampur University
India
B E

2010

VSSUT Burla
India
MTech

2018

NIT Rourkela
India
PhD

Experience

  • 2023- Reviewer– Electric Power Component & System
  • 2022- Reviewer– Electric Power Component & System
  • 2021- Reviewer– Electric Power Component & System
  • 2020- Reviewer– Electric Power Component & System
  • 2019- Reviewer– IET Power Electronics
  • 2019- Reviewer– IET Generation, Transmission & Distribution
  • 2018 – Reviewer– IET Generation, Transmission & Distribution
  • 2018 – Reviewer–IET Power Electronics
  • 2018 – Reviewer–IET Power Electronics
  • 2017 – Reviewer–IET Generation, Transmission & Distribution

    • Research Interests

  • Design and Experimental Validation of DSTATCOM Using Various Hybrid ANN Techniques
  • Distributed Energy Renewable Integrated Back-to-Back VSI Based DSTATCOM for Micro Grid
  • Inductively coupled distributed static compensator for power quality analysis

    • Awards & Fellowships

  • 2019 – Start-up Research Grant – SERB-DST, New Delhi
  • 2014-2018- Institute Fellowship- MHRD, New Delhi

    • Memberships

    • MISTE
    • LMISTE
    • MIEEE

    Patents

    • Title:201941054849, Patent Application No: Smart Wind Farm Management System, Authors:M. Mangaraj, R. Kampara, B.Sahoo, A K Chahattaray, M Satish and KS Rao
    • Title:201931052205, Patent Application No: Multimodality Transportation System, Authors:M. Mangaraj, K. Ravisankar and A. K Chahattaray

    List of Publications

    • (1) K. Panda and M. Mangaraj, " DSTATCOM employing hybrid neural network control technique for power quality improvement," IET Power Electronics, vol. 10, no. 4, pp. 480-489, Mar. 2017.
    • (2) Mangaraj and A. K. Panda, " Performance analysis of DSTATCOM employing various control algorithms," IET Generation, Transmission & Distribution, vol. 11, no. 10, pp. 2643-2653, Jul. 2017.
    • (3) Mangaraj and A. K. Panda, “ NBP-based icosϕ control strategy for DSTATCOM,” IET Power Electronics, vol. 10, no. 12, pp. 1617 – 1625, Oct. 2017.
    • (4) Mangaraj and A. K. Panda, “ DSTATCOM deploying CGBP based icos ϕ neural network technique for power conditioning,” International Journal of Ain Shams Engg. Journal (Elsevier), vol. 9, no. 4, pp. 1535-1546, Dec. 2018.
    • (5) Mangaraj and A.K Panda, " Modelling and simulation of KHLMS algorithm-based DSTATCOM," IET Power Electronics, vol. 12, no. 9, pp. 2304 – 2311, Aug. 2019.
    • (6) Mangaraj, A. K. Panda, T.Penthia and A. R. Dash, “ An Adaptive LMBP Training Based Control Technique for DSTATCOM,” IET Generation, Transmission and Distribution, vol. 14, no. 3, pp. 516 – 524, Feb. 2020.
    • (7) Penthia, A. K. Panda and M. Mangaraj, “ Real time simulation and Performance of DSTATCOM using an improved load current detection based control technique for compensation of current harmonics and load transients”, International Journal on European Power Electronics and Drives, vol. 31, no. 1, pp. 1 – 6, Aug. 2020.
    • (8) Penthia, A. K. Panda and M. Mangaraj, “ Experimental validation of ADALINE least mean square algorithm in a three-phase four-wire DSTATCOM to enhance power quality”, International Journal on Electric Power Components & Systems, vol. 48, no. 8, pp. 769 – 780, Oct. 2020.
    • (9) Mangaraj and A. K. Panda, “ Sparse LMS Algorithm for Two-level DSTATCOM,” IET Generation, Transmission and Distribution, vol. 15, no.1, pp. 86 – 96, Jan. 2021.
    • (10) Mangaraj, “ Operation of Hebbian Least Mean Square controlled distributed Static Compensator,” IET Generation, Transmission and Distribution, vol. 15, no. 13, pp. 1939 – 1948. Feb. 2021.
    • (11) Mangaraj and J. Sabat, “ MVSI and AVSI supported DSTATCOM for power quality analysis,” IETE Journal of Research, vol. 69, no.6, pp. 3852-3858 May. 2023.
    • (12) Sabat and M. Mangaraj, “ GLMS Control Strategy based DSTATCOM for Power Quality Enhancement: Modeling & Comparative Analysis,” International Journal of Energy System, vol. 14, no. 2, pp. 495-514, Oct. 2021.
    • (13) Sabat and M. Mangaraj “ Operation and Control Performance of Interactive DZSI based DSTATOM,” International Journal of Institution of Engineers: Series B, Vol. 103, no. 4, pp. 1259-1267, Aug. 2022.
    • (14) Jogeswara Sabat, Mrutyunjaya Mangaraj, Ajit Kumar Barisal, Anil Kumar Patra, Ashok Kumar Chahattaray, “Performance Evaluation of BB-QZSI Based DSTATCOM under Dynamic Load Condition” International Journal of Power Electronics and Drives, 2022;7 (42). pp- 43-55.
    • (15) Mangaraj and J. Sabat, “ PQ Assesment of EDS With DER Penetration by DVSI based DSTATCOM Using ALMS Algorithm,” International Journal of Ambient Energy, vol. 43, no. 1, pp. 7775-7786, Jun. 2022.
    • (16) Mangaraj, Jogeswara Sabat, Ajit Kumar Barisal, K Subbaramaiah and Gudivada Eswara Rao “VSC based DSTATCOM for PQ Improvement: A Deep Learning- Approach,” International Journal of Power Electronics and Drives, vol. 7, no. 42. pp. 174-186, 2022.
    • (17) Jogeswara Sabat and Mrutyunjaya Mangaraj " Experimental Study of T-I-VSI Based DSTATCOM using ALMS Technique for PQ Analysis", International Journal of Institution of Engineers: Series B, 104, 165–174. Oct. 2022.
    • (18) Mrutyunjaya Mangaraj and Jogeswara Sabat, “ FPGA Based Execution on DER Supported EDS for Enhanced PQ with OAPFC,” International Journal of ECTI Transactions on Electrical Engineering, Electronics, and Communications. vol.21, no.1, pp. 248571-248583, Feb. 2023.
    • (19) Mangaraj and J. Sabat, “Evaluation of SVC-Coupled Hybrid DSTATCOM Using JLMS Algorithm for Enhancement of Power Quality”, International Journal of Power Electronics and Drives, vol. 8, no. 43, pp. 21-30, 2023.
    • (20) Mangaraj and Jogeswara Sabat, “DER Integrated BTB-VSI Based DSTATCOM for PQ Enhancement,” International Journal of Electronics, vol. 111, no.8, pp. 1266-1287, Jun. 2023.
    • (21) Sabat, J., Mangaraj, M., Kundala, P.K.Y. et al. Shunt compensation using Deep Belief Learning Network Based Inductively Coupled DSTATCOM. Energy System, Dec. 2023. https://doi.org/10.1007/s12667-023-00647-3. ISSN: 1868-3975. F: 1.8
    • (22) S Mohanty, A Bhanja, SP Gautam, D Chittathuru, SK Dash, M Mangaraj, all “ Review of a Comprehensive Analysis of planning, Functionality, Control, and Protection for Direct Current Microgrids” International Journal of Sustainability (MDPI), vol. 15, no.21, pp. 15405-15433, Oct. 2023.
    • (23) Mangaraj, M., Pilla, R., Kumar, P.P. et al. “ Design and dynamic analysis of superconducting magnetic energy storage-based voltage source active power filter using deep Q-learning,” Electrical Engineering, (Springer) vol. 106, pp. 1241–1250, Jan. 2024.
    • (24) Sabat, J., Mangaraj, M., & Barisal, A.K. “Improvement of power quality in distribution utility using X-LMS based adaptive algorithm,” Electrical Engineering, Springer, vol.106, pp. 4575–4589, Feb. 2024
    • (25) Mangaraj, Jogeswara Sabat , Ajit Kumar Barisal, “Experimental test performance for a comparative evaluation of a voltage source inverter: Dual voltage source inverter” Journal of Electrical Engineering, vol.75, no. 1, 2024, pp. 56-62.
    • (26) Sabat, J., Mangaraj, M. & Barisal, A.K. “ Power quality enhancement in utility grid using distributed energy resources integrated BBC-VSI based DSTATCOM”,  International Journal of System Assurance and Engineering Management, Springer, vol. 15, pp. 2677–2688, Mar. 2024.
    • (27) Mangaraj, Praveen Kumar Yadav Kundala, S Singh, “Modelling and Experimental Validation of DSTATCOM using Deep Belief Learning Network with Anti windup Regulator”, International Journal of Ambient Energy, Taylor & Francis, vol 45, no.1. May 2024.
    • (28) Mangaraj, S M Muyeen, B Chitti Babu, T K Nizami, S Singh, A Chakravarty, “ Deep Reinforced Learning Based Inductively Coupled DSTATCOM Under Load Uncertainties” International Journal of Electrical Engineering, Springer. May. 2024. https://doi.org/10.1007/s00202-024-02446-0
    • (29) Mangaraj, M., Nizami, T.K., Babu, B.C. et al.Realization of superconducting-magnetic energy storage supported DSTATCOM using deep Bayesian Active Learning. Electrical Engineering, Springer, 2024. https://doi.org/10.1007/s00202-024-02560-z

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