Network reconfiguration algorithm for automated distribution systems based on artificial intelligence approach

This study develops an expert system to solve the problems of the main transformer (MTr) or feeder overload and the feeder constraint violation in automated distribution systems, where each feeder is subject to the thermal overload and voltage-drop limits. The objective is to perform the network rec...

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Vydané v:IEEE transactions on power delivery Ročník 8; číslo 4; s. 1933 - 1941
Hlavní autori: Jung, Kyung-Hee, Kim, Hoyong, Ko, Yunseok
Médium: Journal Article Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: New York, NY IEEE 01.10.1993
Institute of Electrical and Electronics Engineers
Predmet:
240100 - Power Systems- (1990-)
Applied sciences
Approximation methods
Artificial intelligence
Automatic control
COMPUTERIZED CONTROL SYSTEMS
CONTROL SYSTEMS
CONTROL THEORY
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Expert systems
Intelligent networks
Investments
Load flow
ON-LINE CONTROL SYSTEMS
ON-LINE SYSTEMS
Operation. Load control. Reliability
POWER DISTRIBUTION SYSTEMS
Power networks and lines
POWER TRANSMISSION AND DISTRIBUTION
RELIABILITY
STABILIZATION
Switches
Voltage
Critical conditions
Automation
Service restoration
Electrical network
Overload
Expert system
PROLOG
Distribution network
Electric fault
Exploitation
Reconfiguration
ISSN:0885-8977, 1937-4208
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Shrnutí:This study develops an expert system to solve the problems of the main transformer (MTr) or feeder overload and the feeder constraint violation in automated distribution systems, where each feeder is subject to the thermal overload and voltage-drop limits. The objective is to perform the network reconfiguration by switching the tie and sectionalizing switches so that the system violation is removed, while achieving load balance of the MTrs and feeders with a fewer number of switching operations. Since the switching operation in a practical system does not cause a large change in the voltage, an approximation method is used in order to check the voltage violation, instead of a full AC load flow solution. To reduce the search space, an expert system based on heuristic rules is presented, and implemented in PROLOG. This system adopts the best first tree search technique. List processing and recursive programming techniques are then utilized to solve the combinatorial type optimization problem. The computational results are also prepared to show the performance of the heuristic algorithms developed.< >
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0885-8977
1937-4208
DOI:10.1109/61.248305