Accelerated Electromechanical Modeling of a Distributed Internal Combustion Engine Generator Unit

Christopher I. Hill, Pericle Zanchetta and Serhiy V. Bozhko
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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

Energies, 2012, vol. 5, issue 7, 1-16

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.

Keywords: AC generators; diesel driven generators; diesel engines; energy conversion; modeling; power generation; power generation control; power supplies; power system modeling; variable speed drives (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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