Smart control for minimizing distribution network reinforcement cost due to electrification

Gan, Chin Kim (2013) Smart control for minimizing distribution network reinforcement cost due to electrification. Energy Policy, 52. pp. 76-84. ISSN 0301-4215

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Abstract

Electrification of transport fleets and heating sectors is seen as one of the key strategies to further reduce the use of fossil fuels and the resulting greenhouse gas emissions. However, it will potentially cause a significant increase of electricity peak demand and have adverse consequences on the electricity system, in particular on distribution networks. This paper will address the benefits of various applications of smart network control and demand response technologies for enhancing the integration of these future load categories, and for improvements in operation management and efficient use of distribution network assets. A range of numerical simulations have been carried out on different distribution network topologies (rural and urban networks) to identify the need and the cost of network reinforcement required to accommodate future load under various operating strategies such as Business as Usual (passive demand and passive network) against the smart grid approach. Applications of smart Plug-in vehicle (PiV) charging, smart heat pumps, and optimised control of network voltage regulators to reduce network investment have been studied, and selected key results of our studies on evaluating the benefits of implementing these technologies for Great Britain’s distribution networks are presented and discussed in this paper.

Item Type:	Article
Uncontrolled Keywords:	Distribution network, Electrification, Smart control
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electrical Engineering > Department of Industrial Power
Depositing User:	Dr Chin Kim Gan
Date Deposited:	05 Mar 2013 04:23
Last Modified:	03 Feb 2022 11:26
URI:	http://eprints.utem.edu.my/id/eprint/6590
Statistic Details:	View Download Statistic

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