Hybrid System Based Nonlinear Least Squares Optimization Applied to a Multi-Machine Power System Control(Hybrid Dynamical Systems,<Special Section>Concurrent/Hybrid Systems: Theory and Applications)

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概要

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• The output limits of the power system stabilizer (PSS) can improve the system damping performance immediately following a large disturbance. Due to non-smooth nonlinearities from the saturation limits, these values cannot be determined by the conventional tuning methods based on linear analysis. Only ad hoc tuning procedures have been used. A nonlinear least squares method, which is the Gauss-Newton optimization algorithm, is used in this paper. The gradient required in the Gauss-Newton method can be computed by applying trajectory sensitivities from the hybrid system model with the differential-algebraic-impulsive-switched (DAIS) structure. The optimal output limits of the PSS tuned by the proposed method are evaluated by time-domain simulation in a multi-machine power system (MMPS).

• 一般社団法人電子情報通信学会の論文
• 2006-11-01

著者

• PARK Jung-Wook

  School of Electrical and Electronic Engineering, Yonsei University

• Park Jung-wook

  School Of Electrical And Electronic Engineering Yonsei University

関連論文

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• Kalman-Filter Based Estimation of Electric Load Composition with Non-ideal Transformer Modeling(Numerical Analysis and Optimization)
• First Derivatives Estimation of Nonlinear Parameters in Hybrid System(Concurrent Systems)
• Hybrid System Based Nonlinear Least Squares Optimization Applied to a Multi-Machine Power System Control(Hybrid Dynamical Systems,Concurrent/Hybrid Systems: Theory and Applications)

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