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IEEE Transactions on Power Systems
Article . 1995 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Effects of load dynamics on power system damping

Authors: Jovica V. Milanovic; Ian A. Hiskens;
doi: 10.1109/59.387947
Abstract
This paper explores the interaction between dynamic loads and power systems. Based on a generic model of dynamic loads, the frequency response of such loads is discussed. Also, the frequency response of the system is investigated. It is shown that the dynamics of the load provide a feedback path which can influence the damping of the modal oscillations of the system. This influence is very dependent on load parameters as well as the system configuration. Under some circumstances damping can be improved, but under other conditions dynamic load may cause a decrease in damping. >
Related Organizations
- Newcastle University United Kingdom
- University of Newcastle Australia Australia
- University of Newcastle Australia Australia
citations 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).119 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
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).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
119
Top 10%
Top 1%
Top 10%
bronze
Beta