Reduced-Order Small-Signal Model of Microgrid Systems
The objective of this study was to develop a reduced-order small-signal model of a microgrid system capable of operating in both the grid-tied and the islanded conditions. The nonlinear equations of the proposed system were derived in the dq reference frame and then linearized around stable operating points to construct a small-signal model. The high-order state matrix was then reduced using the singular perturbation technique. The dynamic equations were divided into two groups based on the small-signal model parameters ε. The slow states, which dominated the systems dynamics, were preserved, whereas the fast states were eliminated. Step responses of the model were compared to the experimental results from a hardware test to assess their accuracy and similarity to the full-order system. The proposed reduced-order model was applied to a modified IEEE-37 bus grid-tied microgrid system to evaluate systems dynamic response in grid-tied mode, islanded mode, and transition from grid-tied to islanded mode.
M. Rasheduzzaman et al., "Reduced-Order Small-Signal Model of Microgrid Systems," IEEE Transactions on Sustainable Energy, vol. 6, no. 4, pp. 1292-1305, Institute of Electrical and Electronics Engineers (IEEE), Oct 2015.
The definitive version is available at https://doi.org/10.1109/TSTE.2015.2433177
Electrical and Computer Engineering
National Science Foundation (U.S.)
Keywords and Phrases
Dynamic Response; Electric Power Distribution; Nonlinear Equations; Perturbation Techniques; Dynamic Equations; Full Order System; Grid-Tied Microgrid; Micro-Grid Systems; Operating Points; Reduced Order Models; Singular Perturbation Technique; Small Signal Model; Heterojunction Bipolar Transistors; Islanded Microgrid; Microgrid Modeling; Model Order Reduction; Singular Perturbation
International Standard Serial Number (ISSN)
Article - Journal
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