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The potential of low load diesel application in increasing renewable energy source penetration

Citation

Hamilton, J and Negnevitsky, M and Wang, X, The potential of low load diesel application in increasing renewable energy source penetration, Cigre Science and Engineering, 8 pp. 49-59. ISSN 1286-1146 (2017) [Refereed Article]

Copyright Statement

Copyright 2017 CIGRE

Official URL: http://www.cigre.org/Menu-links/Publications/CIGRE...

Abstract

Integration of renewable energy sources to displace diesel generation can present clear economic, environmental and social benefit within isolated power systems. While low level renewable energy source (RES) integration is relatively easy to achieve, both the cost and complexity escalate as systems target increasing RES penetration. Low load diesel (LLD) is one approach able to permit high RES utilisation, while maintaining a relatively simple system architecture. LLD is the ability to run diesel infrastructure below legacy load limits, for the acceptance of additional RES contribution. This paper investigates the performance and economic impacts of LLD application, finding the technology effective at not only reducing diesel fuel consumption, but also in simplifying isolated power system configuration. Validated power system modelling is used to demonstrate the ability of LLD application to reduce or delay the requirement for energy storage, independently supporting a 22% increase in RES utilisation. LLD is recommended as a transitional approach, able to maximise RES penetrations prior to energy storage system integration.

Item Details

Item Type:Refereed Article
Keywords:low load diesel, renewable energy sources, power system modelling
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Renewable Power and Energy Systems Engineering (excl. Solar Cells)
Objective Division:Energy
Objective Group:Renewable Energy
Objective Field:Renewable Energy not elsewhere classified
Author:Hamilton, J (Mr James Hamilton)
Author:Negnevitsky, M (Professor Michael Negnevitsky)
Author:Wang, X (Associate Professor Xiaolin Wang)
ID Code:123787
Year Published:2017
Deposited By:Engineering
Deposited On:2018-01-29
Last Modified:2018-06-18
Downloads:0

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