Novel approach for calculation and analysis of eigenvalues and eigenvectors in microgrids
Yan Li, Wenzhong Gao, Eduard Muljadi, Jiuchun Jiang
Abstract
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Yan Li, Wenzhong Gao, Eduard Muljadi, Jiuchun Jiang
Abstract
Open-access reader
The calculation of eigenvalues and eigenvectors plays an important role in the stability analysis and optimal design of microgrids with multiple distributed energy resources. Microgrid systems are usually operated in various uncertain conditions. In this paper, a novel approach based on matrix perturbation theory is proposed for the calculation and analysis of eigenvalues and eigenvectors in a microgrid system. Rigorous theoretical analysis to solve eigenvalues and the corresponding eigenvectors for a system under various perturbations caused by fluctuations of irradiance, wind speed, or loads is presented. A computational flowchart is then proposed for the unified solution of eigenvalues and eigenvectors in microgrids, aimed toward obtaining eigenvalues and eigenvectors intuitively under different perturbations, which makes repeatedly solving an eigenvalue problem unnecessary. Finally, the effectiveness of the matrix perturbation-based approach in microgrids is verified by numerical examples on a typical low-voltage microgrid network.
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The calculation of eigenvalues and eigenvectors plays an important role in the stability analysis and optimal design of microgrids with multiple distributed energy resources. Microgrid systems are usually operated in various uncertain conditions. In this paper, a novel approach based on matrix perturbation theory is proposed for the calculation and analysis of eigenvalues and eigenvectors in a microgrid system. Rigorous theoretical analysis to solve eigenvalues and the corresponding eigenvectors for a system under various perturbations caused by fluctuations of irradiance, wind speed, or loads is presented. A computational flowchart is then proposed for the unified solution of eigenvalues and eigenvectors in microgrids, aimed toward obtaining eigenvalues and eigenvectors intuitively under different perturbations, which makes repeatedly solving an eigenvalue problem unnecessary. Finally, the effectiveness of the matrix perturbation-based approach in microgrids is verified by numerical examples on a typical low-voltage microgrid network.
Key concepts: Eigenvalues and eigenvectors, Eigenvalue perturbation, Microgrid, Defective matrix, Spectrum of a matrix, Matrix differential equation, Eigenvalues and eigenvectors of the second derivative, Applied mathematics