This paper presents the design of a wide area monitor (WAM) using remote area signals, such as speed deviations of generators in a power network, for identifying online the dynamics of a static var compensator (SVC). The design of the WAM is studied on the 12 bus FACTS benchmark system recently introduced. A predict-correct method is used to enhance the performance of the WAM during online operation. Simulation results are presented to show that WAM can correctly identify the dynamics of SVC in a power system for small and large disturbances. Such WAMs can be applied in the design of adaptive SVC controllers for damping interarea oscillations in power networks.

Meeting Name

IEEE Power Engineering Society General Meeting, 2006


Electrical and Computer Engineering

Keywords and Phrases

12 Bus FACTS Benchmark System; Benchmark FACTS Power System; Neural Networks; Remote Signals; SVC; SVC Controller Design; System Identification; Wide Area Monitor; Control System Synthesis; Distribution Networks; Electric Generators; Flexible AC Transmission Systems; Generator Speed Deviations; Interarea Oscillation Damping; Monitoring; Online Identification; Power Network; Power System; Power System Measurement; Predict-Correct Method; Predictor-Corrector Methods; Remote Area Signals; Static VAr Compensators; Static Var Compensator; Transmission Networks; Wide Area Monitor

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 2006 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jan 2006