DocumentCode
59578
Title
A Decentralized Multiagent-Based Voltage Control for Catastrophic Disturbances in a Power System
Author
Islam, Sk Razibul ; Muttaqi, K.M. ; Sutanto, D.
Author_Institution
Australian Power Quality & Reliability Center, Univ. of Wollongong, Wollongong, NSW, Australia
Volume
51
Issue
2
fYear
2015
fDate
March-April 2015
Firstpage
1201
Lastpage
1214
Abstract
In this paper, a multiagent-based voltage and reactive power control in the case of a multiple contingency is presented. Incorporating the agent-based autonomous feature to the intelligence of the remote terminal units, the present power system control structure can be used to help in preventing system voltage collapse during catastrophic disturbances. The control algorithm is based on a decentralized architecture of intelligent agents and the determination of a local zone that can carry out quick countermeasures in a decentralized manner as a multiagent system (MAS) during an emergency situation. An adaptive determination of the local zones undergoing voltage collapse has been developed based on the electrical distances among the generators and loads. Once assigned, the elements of the Jacobian matrix can be used to determine the optimum actions that need to be carried out at each power system element (such as increasing the voltages of generators and load shedding) within the assigned local zone. The contract net protocol is used for agent interactions. Simulation results using the IEEE-57 bus system show that the proposed method can act quickly to respond to emergency conditions to ensure that voltage collapse can be avoided.
Keywords
Jacobian matrices; adaptive estimation; decentralised control; multi-agent systems; power system faults; reactive power control; standby generators; voltage control; IEEE-57 bus system; Jacobian matrix; MAS; adaptive local zone determination; agent interaction; agent-based autonomous feature; catastrophic disturbances; contract net protocol; decentralized architecture; decentralized multiagent-based voltage control; electric generator; emergency situation; intelligent agent; multiagent system; power system control structure; reactive power control; remote terminal units; voltage collapse prevention; Admittance; Generators; Intelligent agents; Reactive power; Sensitivity; Transmission line matrix methods; Voltage control; Contract net protocol (CNP); emergency control; multiagent system (MAS); reactive power control;
fLanguage
English
Journal_Title
Industry Applications, IEEE Transactions on
Publisher
ieee
ISSN
0093-9994
Type
jour
DOI
10.1109/TIA.2014.2350072
Filename
6894162
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