A Power Network Partitioning Method Based on Local Similarity Measure

Tao Wang; Heng Zhou; Pan Zou

doi:10.4028/www.scientific.net/AMR.588-589.364

Paper Titles

An Experimental Investigation on Engine Exhaust Emissions of a Low Heat Rejection (Mullite Coated) Single Cylinder Diesel Engine
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Study on the System Disturbance Rejection Method Used in the Gimbal Servo System of Magnetically Suspended Control Moment Gyro
p.351

Simulation Research on Dynamic Performance of Electric Vehicle Based on ADVISOR
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Radiant Panel Columns Magnetostrictive Transducers of Forced Vibration
p.359

A Power Network Partitioning Method Based on Local Similarity Measure
p.364

Vehicle Performance Simulation of Electric Bus with Composite Power Supply Based on Secondary Development of Advisor
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A New Circuit Model Detection Method via Electromagnetic Scanning
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Research and Application of BP Neural Network in Specific Power Harmonic Detection
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Pattern Recognition for UHF Partial Discharge of Power Transformer Using LS-SVM
p.384

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 588-589A Power Network Partitioning Method Based on Local...

A Power Network Partitioning Method Based on Local Similarity Measure

Abstract:

A power network partitioning model based on the weighed local similarity measure is presented in this paper considering the regional decoupling characteristics of reactive power. A weighted graph model of reactive power network is established and a new measurement of local similarity based on weighed graph is defined. To utilize our measurement of similarity to partition reactive power network, a partitioning algorithm based on generalized ward hierarchical clustering method is proposed. The algorithm can ensure balance of the reactive power inside partition. Applying the proposed algorithm to IEEE 39-bus system, the results show that the proposed algorithm is feasible and effective.