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Accelerated Electromechanical Modeling of a Distributed Internal Combustion Engine Generator Unit

Author

Listed:
  • Christopher I. Hill

    (Power Electronics, Machines and Control Research Group, Electrical Systems and Optics Research Division, Department of Electrical and Electronic Engineering, University of Nottingham, Nottingham NG7 2RD, UK)

  • Pericle Zanchetta

    (Power Electronics, Machines and Control Research Group, Electrical Systems and Optics Research Division, Department of Electrical and Electronic Engineering, University of Nottingham, Nottingham NG7 2RD, UK)

  • Serhiy V. Bozhko

    (Power Electronics, Machines and Control Research Group, Electrical Systems and Optics Research Division, Department of Electrical and Electronic Engineering, University of Nottingham, Nottingham NG7 2RD, UK)

Abstract

Distributed generation with a combustion engine prime mover is still widely used to supply electric power in a variety of applications. These applications range from backup power supply systems and combined wind-diesel generation to providing power in places where grid connection is either technically impractical or financially uneconomic. Modelling of such systems as a whole is extremely difficult due to the long-time load profiles needed and the computational difficulty of including small time-constant electrical dynamics with large time-constant mechanical dynamics. This paper presents the development of accelerated, reduced-order models of a distributed internal combustions engine generator unit. Overall these models are shown to achieve a massive improvement in the computational time required for long-time simulations while also achieving an extremely high level of dynamic accuracy. It is demonstrated how these models are derived, used and verified against benchmark models created using established techniques. Throughout the paper the modelling set as a whole, including multi level detail, is presented, detailed and finally summarised into a crucial tool for general system investigation and multiple target optimisation.

Suggested Citation

  • Christopher I. Hill & Pericle Zanchetta & Serhiy V. Bozhko, 2012. "Accelerated Electromechanical Modeling of a Distributed Internal Combustion Engine Generator Unit," Energies, MDPI, vol. 5(7), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:7:p:2232-2247:d:18733
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    Citations

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    Cited by:

    1. Li-Wei Shi & Bo Zhou, 2015. "Comparative Study of a Fault-Tolerant Multiphase Wound-Field Doubly Salient Machine for Electrical Actuators," Energies, MDPI, vol. 8(5), pages 1-21, April.
    2. Santiago Martinez & Adrian Irimescu & Simona Silvia Merola & Pedro Lacava & Pedro Curto-Riso, 2017. "Flame Front Propagation in an Optical GDI Engine under Stoichiometric and Lean Burn Conditions," Energies, MDPI, vol. 10(9), pages 1-23, September.
    3. Htar Su Hlaing & Jia Liu & Hassan Bevrani & Toshifumi Ise, 2020. "PMSG Control for a Stand-Alone Gas Engine Generator Using Active Rectifier and VSG-Controlled Inverter," Energies, MDPI, vol. 13(1), pages 1-16, January.

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