Clustering approach to model order reduction of power networks with distributed controllers
DOI10.1007/s10444-018-9617-5zbMath1405.93052OpenAlexW2808274461WikidataQ129673695 ScholiaQ129673695MaRDI QIDQ1756927
Xiaodong Cheng, Jacquelien M. A. Scherpen
Publication date: 28 December 2018
Published in: Advances in Computational Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10444-018-9617-5
Deterministic network models in operations research (90B10) Linear systems in control theory (93C05) System structure simplification (93B11) Control/observation systems governed by ordinary differential equations (93C15) Software, source code, etc. for problems pertaining to systems and control theory (93-04)
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- A port-Hamiltonian approach to power network modeling and analysis
- Towards Kron reduction of generalized electrical networks
- Clustered model reduction of positive directed networks
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- Area decomposition for electromechanical models of power systems
- The power grid as a complex network: a survey
- Clustering-Based Model Reduction of Networked Passive Systems
- A Hessenberg-Schur method for the problem AX + XB= C
- Reduction of Second-Order Network Systems With Structure Preservation
- Kron Reduction of Graphs With Applications to Electrical Networks
- Projection-Based Model Reduction of Multi-Agent Systems Using Graph Partitions
- Breaking the Hierarchy: Distributed Control and Economic Optimality in Microgrids
- Algorithm 432 [C2: Solution of the matrix equation AX + XB = C [F4]]
- Approximation of Large-Scale Dynamical Systems
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