Optimization-based disjoint and overlapping epsilon decompositions of large-scale dynamical systems via graph theory
To address the complexity challenge of a large-scale system, the decomposition into smaller subsystems is very crucial and demanding for distributed estimation and control purposes. This paper proposes novel optimization-based approaches to decompose a large-scale system into subsystems that are eit...
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Published in | Journal of parallel and distributed computing Vol. 193; p. 104953 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.11.2024
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Subjects | |
Online Access | Get full text |
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Summary: | To address the complexity challenge of a large-scale system, the decomposition into smaller subsystems is very crucial and demanding for distributed estimation and control purposes. This paper proposes novel optimization-based approaches to decompose a large-scale system into subsystems that are either weakly coupled or weakly coupled with overlapping components. To achieve this goal, first, the epsilon decomposition of large-scale systems is examined. Then, optimization frameworks are presented for disjoint and overlapping decompositions utilizing bipartite graphs. Next, the proposed decomposition algorithms are represented for particular cases of large-scale systems using directed graphs. In contrast to the existing user-based techniques, the proposed optimization-based methods can reach the solution rapidly and systematically. At last, the capability and efficiency of the proposed algorithms are investigated by conducting simulations on three case studies, which include a practical distillation column, a modified benchmark model, and the IEEE 118-bus power system.
•Novel optimization-based algorithms are proposed for decompositions of large-scale systems.•The disjoint epsilon decomposition is presented using the bipartite graph of the large-scale system.•The overlapping epsilon decomposition is also investigated via bipartite graph.•The decompositions via directed graphs are presented for particular cases of large-scale systems. |
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ISSN: | 0743-7315 |
DOI: | 10.1016/j.jpdc.2024.104953 |