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Control Engineering Practice
Article
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Queen's University Research Portal
Article . 2016
License: CC BY NC ND
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Control Engineering Practice
Article . 2016 . Peer-reviewed
License: Elsevier TDM
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Control strategies for automatic generation control over MTDC grids

Authors: McNamara, Paul; Meere, Ronan; O'Donnell, Terence; McLoone, Sean;

Control strategies for automatic generation control over MTDC grids

Abstract

Abstract Increasingly in power systems, there is a trend towards the sharing of reserves and integration of markets over wide areas in order to enable increased penetration of renewable sources in interconnected power systems. In this paper, a number of simple PI and gain based Model Predictive Control algorithms are proposed for Automatic Generation Control in AC areas connected to Multi-Terminal Direct Current grids. The paper discusses how this approach improves the sharing of secondary reserves and could assist in achieving EU energy targets for 2030 and beyond.

Country
United Kingdom
Keywords

/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy, /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy, 330, name=SDG 7 - Affordable and Clean Energy, 004

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Top 10%
Green
hybrid