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Online power system security classifier and enhancement control De Arizon, Paloma
Abstract
Today, the stable and reliable operation of power systems is becoming increasingly difficult. While, on the one hand, due to regulatory reforms, an increasing number of merchant plants and co-generators are being connected to the network, on the other, the expansion of transmission systems has been increasingly difficult due to environmental and land issues. As a result, thousands of power flow schedules are changed hourly, complicating the systems operation. This scenario has rendered the traditional system operation criteria, based on off-line studies, inadequate to cope with the constantly changing nature, and online assessment techniques are becoming increasingly important. In this work, an approach based on "approximate reasoning techniques" is presented for the classification o f dynamic security conditions in the power system and for the selection of dynamic security enhancement strategies (preventive control actions). The algorithm proposed combines energy functions and sensitivities to find the "membership" of the system to the subsets that determine its security status, as well as, the "membership" of the different generators to specific control related subsets. The algorithm proposed combines energy functions and sensitivities, together with physical equipment limitations, to select the generators voltage and power output such that the required security level is met. The procedure uses optimisation methods for tuning the threshold values that describe the membership functions in order to obtain optimum preventive control strategies. The developed procedure was also designed to produce a simultaneous preventive control for a set of non-disjoint contingencies. Finally to enhance the speed of the algorithm a new and time-saving technique for efficient [Y[sub bus]] matrix evaluations was developed in this work. The results presented in the work show that the proposed method achieves the following objectives: a) A fast and accurate classification of the system security conditions. b) A classification that is flexible enough to allow the inclusion of other important parameters. c) The development of a stability enhancement strategy that produces a system that is secure for a wide range of credible contingencies. d) The development of a method that combines "firm" knowledge based on analytical solutions with "soft" expert system knowledge.
Item Metadata
Title |
Online power system security classifier and enhancement control
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2000
|
Description |
Today, the stable and reliable operation of power systems is becoming increasingly
difficult. While, on the one hand, due to regulatory reforms, an increasing number of
merchant plants and co-generators are being connected to the network, on the other, the
expansion of transmission systems has been increasingly difficult due to environmental and
land issues. As a result, thousands of power flow schedules are changed hourly,
complicating the systems operation. This scenario has rendered the traditional system
operation criteria, based on off-line studies, inadequate to cope with the constantly
changing nature, and online assessment techniques are becoming increasingly important.
In this work, an approach based on "approximate reasoning techniques" is presented for
the classification o f dynamic security conditions in the power system and for the selection
of dynamic security enhancement strategies (preventive control actions). The algorithm
proposed combines energy functions and sensitivities to find the "membership" of the
system to the subsets that determine its security status, as well as, the "membership" of the
different generators to specific control related subsets. The algorithm proposed combines
energy functions and sensitivities, together with physical equipment limitations, to select
the generators voltage and power output such that the required security level is met.
The procedure uses optimisation methods for tuning the threshold values that describe
the membership functions in order to obtain optimum preventive control strategies. The
developed procedure was also designed to produce a simultaneous preventive control for
a set of non-disjoint contingencies.
Finally to enhance the speed of the algorithm a new and time-saving technique for
efficient [Y[sub bus]] matrix evaluations was developed in this work.
The results presented in the work show that the proposed method achieves the
following objectives:
a) A fast and accurate classification of the system security conditions.
b) A classification that is flexible enough to allow the inclusion of other important
parameters.
c) The development of a stability enhancement strategy that produces a system
that is secure for a wide range of credible contingencies.
d) The development of a method that combines "firm" knowledge based on
analytical solutions with "soft" expert system knowledge.
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Extent |
7250275 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-07-28
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0065033
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2000-05
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.