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Modelling and Simulation of Intelligent Master Controller Model for Hybridized Power Pool Deployment

Received: 21 November 2021    Accepted: 9 December 2021    Published: 29 December 2021
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Abstract

Every conceptual framework requires several developmental stages such as prototyping, preproduction and production stages. This paper considers prototype developmental stage which entails design, modelling and simulation for the conceptual system to determine suitable parameters and specifications before the production task is initiation. The inability to represent the conceptual control system with mathematical equivalence would hamper on the system operational efficiency, stability, controllability and observability; would not be guaranteed. This paper focuses on the modelling and simulation of intelligent master controller for hybridized power pool deployment. This is achieved using state space mathematical model, MATLAB/Simulink and proteus software. The state space model provides the mathematical equation for the system stability, controllability and observability criteria from the system transfer function. The MATLAB/Simulink software provides response trends and the Proteus software provides the virtual implementation platform for concept validation with its code written in Arduino (IDE). The system was demonstrated through simulation and the virtual results showed that the system capability in fostering intelligent control commands in the hybridized power pool scenario. The system stability was determined using Root locus, Nyquist and Routh Hurwitz criteria. Subsequent research efforts are being made towards implementing the design optimizable on the hardware using the design specifications.

Published in American Journal of Electrical Power and Energy Systems (Volume 10, Issue 6)
DOI 10.11648/j.epes.20211006.12
Page(s) 109-118
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Deployment, Hybridized Power Pool, Intelligent Master Controller, Modelling, Simulation

References
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Cite This Article
  • APA Style

    Kufre Esenowo Jack, Damian Obioma Dike, Matthew Olubiwe, Jude-Kennedy Chibuzo Obichere, Nkwachukwu Chukwuchekwa, et al. (2021). Modelling and Simulation of Intelligent Master Controller Model for Hybridized Power Pool Deployment. American Journal of Electrical Power and Energy Systems, 10(6), 109-118. https://doi.org/10.11648/j.epes.20211006.12

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    ACS Style

    Kufre Esenowo Jack; Damian Obioma Dike; Matthew Olubiwe; Jude-Kennedy Chibuzo Obichere; Nkwachukwu Chukwuchekwa, et al. Modelling and Simulation of Intelligent Master Controller Model for Hybridized Power Pool Deployment. Am. J. Electr. Power Energy Syst. 2021, 10(6), 109-118. doi: 10.11648/j.epes.20211006.12

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    AMA Style

    Kufre Esenowo Jack, Damian Obioma Dike, Matthew Olubiwe, Jude-Kennedy Chibuzo Obichere, Nkwachukwu Chukwuchekwa, et al. Modelling and Simulation of Intelligent Master Controller Model for Hybridized Power Pool Deployment. Am J Electr Power Energy Syst. 2021;10(6):109-118. doi: 10.11648/j.epes.20211006.12

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  • @article{10.11648/j.epes.20211006.12,
      author = {Kufre Esenowo Jack and Damian Obioma Dike and Matthew Olubiwe and Jude-Kennedy Chibuzo Obichere and Nkwachukwu Chukwuchekwa and Lazarus Okechukwu Uzoechi},
      title = {Modelling and Simulation of Intelligent Master Controller Model for Hybridized Power Pool Deployment},
      journal = {American Journal of Electrical Power and Energy Systems},
      volume = {10},
      number = {6},
      pages = {109-118},
      doi = {10.11648/j.epes.20211006.12},
      url = {https://doi.org/10.11648/j.epes.20211006.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.epes.20211006.12},
      abstract = {Every conceptual framework requires several developmental stages such as prototyping, preproduction and production stages. This paper considers prototype developmental stage which entails design, modelling and simulation for the conceptual system to determine suitable parameters and specifications before the production task is initiation. The inability to represent the conceptual control system with mathematical equivalence would hamper on the system operational efficiency, stability, controllability and observability; would not be guaranteed. This paper focuses on the modelling and simulation of intelligent master controller for hybridized power pool deployment. This is achieved using state space mathematical model, MATLAB/Simulink and proteus software. The state space model provides the mathematical equation for the system stability, controllability and observability criteria from the system transfer function. The MATLAB/Simulink software provides response trends and the Proteus software provides the virtual implementation platform for concept validation with its code written in Arduino (IDE). The system was demonstrated through simulation and the virtual results showed that the system capability in fostering intelligent control commands in the hybridized power pool scenario. The system stability was determined using Root locus, Nyquist and Routh Hurwitz criteria. Subsequent research efforts are being made towards implementing the design optimizable on the hardware using the design specifications.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Modelling and Simulation of Intelligent Master Controller Model for Hybridized Power Pool Deployment
    AU  - Kufre Esenowo Jack
    AU  - Damian Obioma Dike
    AU  - Matthew Olubiwe
    AU  - Jude-Kennedy Chibuzo Obichere
    AU  - Nkwachukwu Chukwuchekwa
    AU  - Lazarus Okechukwu Uzoechi
    Y1  - 2021/12/29
    PY  - 2021
    N1  - https://doi.org/10.11648/j.epes.20211006.12
    DO  - 10.11648/j.epes.20211006.12
    T2  - American Journal of Electrical Power and Energy Systems
    JF  - American Journal of Electrical Power and Energy Systems
    JO  - American Journal of Electrical Power and Energy Systems
    SP  - 109
    EP  - 118
    PB  - Science Publishing Group
    SN  - 2326-9200
    UR  - https://doi.org/10.11648/j.epes.20211006.12
    AB  - Every conceptual framework requires several developmental stages such as prototyping, preproduction and production stages. This paper considers prototype developmental stage which entails design, modelling and simulation for the conceptual system to determine suitable parameters and specifications before the production task is initiation. The inability to represent the conceptual control system with mathematical equivalence would hamper on the system operational efficiency, stability, controllability and observability; would not be guaranteed. This paper focuses on the modelling and simulation of intelligent master controller for hybridized power pool deployment. This is achieved using state space mathematical model, MATLAB/Simulink and proteus software. The state space model provides the mathematical equation for the system stability, controllability and observability criteria from the system transfer function. The MATLAB/Simulink software provides response trends and the Proteus software provides the virtual implementation platform for concept validation with its code written in Arduino (IDE). The system was demonstrated through simulation and the virtual results showed that the system capability in fostering intelligent control commands in the hybridized power pool scenario. The system stability was determined using Root locus, Nyquist and Routh Hurwitz criteria. Subsequent research efforts are being made towards implementing the design optimizable on the hardware using the design specifications.
    VL  - 10
    IS  - 6
    ER  - 

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Author Information
  • Department of Mechatronics Engineering, School of Electrical Engineering & Technology, Federal University of Technology Minna, Minna, Nigeria

  • Department of Electrical/Electronic Engineering, School of Electrical Systems Engineering Technology, Federal University of Technology Owerri, Owerri, Nigeria

  • Department of Electrical/Electronic Engineering, School of Electrical Systems Engineering Technology, Federal University of Technology Owerri, Owerri, Nigeria

  • Department of Mechatronics Engineering, School of Electrical Systems Engineering Technology, Federal University of Technology Owerri, Owerri, Nigeria

  • Department of Electrical/Electronic Engineering, School of Electrical Systems Engineering Technology, Federal University of Technology Owerri, Owerri, Nigeria

  • Department of Electrical/Electronic Engineering, School of Electrical Systems Engineering Technology, Federal University of Technology Owerri, Owerri, Nigeria

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