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Graph theory based corrective control strategy during single line contingency
Published in
2009
Abstract
This paper presents a new Graph Theory based corrective control strategy to alleviate overloads of transmission lines, with the help of a local optimization concept. A Direct Acyclic Graph (DAG) technique for selection of participating generators and load buses with respect to a contingency is presented. Particle Swarm Optimization (PSO) technique has been employed for generator rescheduling and/or load shedding to the identified generators and loads, to bring back the system from abnormal to normal operating state. The effectiveness of the proposed approach is demonstrated for different contingency cases in IEEE 57 and modified IEEE 118 bus systems. The result shows that the proposed approach is computationally fast, reliable and efficient, in restoring the system to normal state after a contingency with minimal control actions. ©2009 IEEE.
About the journal
Journal2009 International Conference on Power Systems, ICPS '09
Open AccessNo
Concepts (14)
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    ACYCLIC GRAPHS
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    Control actions
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    CORRECTIVE CONTROL
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    GENERATOR RESCHEDULING
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    IEEE 118-BUS SYSTEM
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    Load-shedding
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    Local optimizations
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    NORMAL STATE
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    Operating state
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    PARTICLE SWARM OPTIMIZATION TECHNIQUE
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    Transmission line
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    Electric power systems
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    Graph theory
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    Particle swarm optimization (pso)