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Frequency control within high renewable penetration hybrid systems adopting low load diesel methodologies


Semshchikov, E and Hamilton, J and Wu, L and Negnevitsky, M and Wang, X and Lyden, S, Frequency control within high renewable penetration hybrid systems adopting low load diesel methodologies, Energy Procedia, 13-15 December 2018, Sydney, Australia, pp. 483-490. ISSN 1876-6102 (2019) [Refereed Conference Paper]


Copyright Statement

Copyright 2019 the Authors CC BY-NC-ND license

DOI: doi:10.1016/j.egypro.2019.02.196


In the isolated power system, consumers are traditionally supplied with electricity produced by diesel generators. Conventional diesel generators demonstrate robust and efficient operation when connected to electrical grids with slowly varying loads. With the introduction of intermittent and stochastic renewable energy sources, such generators may not be responsive enough to retain the stability and reliability of the system. The problem becomes especially acute in cases when diesel generators are required to operate at a low load. Regulating devices (e.g. energy storage systems and/or dump load) used to improve the system reliability, increase system complexity and incur additional expenses or energy losses. This paper investigates low load diesel technology as a potential solution to high level renewable energy penetration. The focus is made on the engine time delay and the generator inertia constant that should be considered during the design of the isolated hybrid power system.

Item Details

Item Type:Refereed Conference Paper
Keywords:load load diesel, microgrid, renewable energy, remote area power
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy services and utilities
UTAS Author:Semshchikov, E (Mr Evgenii Semshchikov)
UTAS Author:Hamilton, J (Mr James Hamilton)
UTAS Author:Wu, L (Dr Liuer Wu)
UTAS Author:Negnevitsky, M (Professor Michael Negnevitsky)
UTAS Author:Wang, X (Professor Xiaolin Wang)
UTAS Author:Lyden, S (Dr Sarah Lyden)
ID Code:131323
Year Published:2019
Funding Support:Australian Research Council (LP160100525)
Web of Science® Times Cited:1
Deposited By:Engineering
Deposited On:2019-03-13
Last Modified:2020-03-03
Downloads:9 View Download Statistics

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