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Effect of short-term risk-aversive dispatch on a complex system model for power systems
Author(s)
Date Issued
2011-02
Date Available
2011-10-11T11:36:54Z
Abstract
In the analysis of time series of blackouts a power
law dependency of blackout size with respect to frequency has
been observed. It has been hypothesized that this behaviour is the
result of the power system operating near critical points. Models
have been created in order to analyze this type of behaviour in
power systems. In this paper the effect of conservative versus nonconservative
generation dispatch is studied using one such model.
Conservative dispatches are ones that are performed in order to
minimize stress on the system and therefore attempt to minimize
possible outages and blackouts. This dispatch is compared with a
non-conservative dispatch that attempts to maximize the stress
and therefore increase the immediate risk of outages and
blackouts. It is found that the non-conservative dispatch although
attempting to maximize the immediate risk reduces the frequency
of blackouts of all sizes over the conservative dispatch in the long
term.
law dependency of blackout size with respect to frequency has
been observed. It has been hypothesized that this behaviour is the
result of the power system operating near critical points. Models
have been created in order to analyze this type of behaviour in
power systems. In this paper the effect of conservative versus nonconservative
generation dispatch is studied using one such model.
Conservative dispatches are ones that are performed in order to
minimize stress on the system and therefore attempt to minimize
possible outages and blackouts. This dispatch is compared with a
non-conservative dispatch that attempts to maximize the stress
and therefore increase the immediate risk of outages and
blackouts. It is found that the non-conservative dispatch although
attempting to maximize the immediate risk reduces the frequency
of blackouts of all sizes over the conservative dispatch in the long
term.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Charles Parsons Energy Research Awards
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Transactions on Power Systems
Volume
26
Issue
1
Start Page
460
End Page
469
Copyright (Published Version)
2010 IEEE
Subject – LCSH
Electric power systems--Mathematical models
Electric power systems--Reliability
Electric power systems--Risk assessment
Web versions
Language
English
Status of Item
Peer reviewed
ISSN
0885-8950
This item is made available under a Creative Commons License
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