Area decomposition for electromechanical models of power systems

DOI10.1016/0005-1098(80)90006-0zbMath0467.93003OpenAlexW2077151089MaRDI QIDQ1156107

James R. Winkelman, Bozidar Avramovic, Petar V. Kokotovic, Joe Hong Chow

Publication date: 1980

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(80)90006-0

zbMATH Keywords

singular perturbationpower systemslarge scale systemscomputational methodssystem order reductionmatrix Riccati equationpower system modelingcoherency identificationarea decompositiongrouping algorithm

Mathematics Subject Classification ID

Deterministic network models in operations research (90B10) Decomposition methods (49M27) Large-scale systems (93A15)

Related Items

Higher order dynamic equivalents for power systems, New method for optimal control and filtering of weakly coupled linear discrete stochastic systems, Coherent swing instability of power grids, Coherency based decomposition and aggregation, Subsystems, time scales and multimodeling, Clustering approach to model order reduction of power networks with distributed controllers, System time-varying controller design via E.A. method, Sub-optimal feedback control of large-scale systems using the boundary layer method, On coherency-based decomposition algorithms, Singular perturbations and time-scale methods in control theory: Survey 1976-1983, The equivalence of time-scale decomposition techniques used in the analysis and design of linear systems, A unified view of aggregation and coherency in networks and Markov chains†

Cites Work

• Singular perturbation and iterative separation of time scales
• Singular perturbation analysis of systems with sustained high frequency oscillations
• On the matrix Riccati equation
• A Riccati equation for block-diagonalization of ill-conditioned systems
• Unnamed Item