Abstract
Linearizing a power system model around the equilibrium point we may obtain unstable large-scale sparse differential-algebraic equations (DAEs) with index 1 form. Riccati-based feedback stabilization of such large-scale unstable system is a challenging task. This paper shows that the Riccati-based feedback stabilization matrix for the original unstable system can be computed efficiently from the reduced order state space system. For this purpose we apply the balanced truncation (BT) to the large-scale unstable index 1 DAEs for reduced-order state space model. To implement the BT, we efficiently solve two Lyapunov equations with respect to the Bernoulli stabilized system. The efficiency of the proposed technique is tested by applying to a data set of Brazilian power system model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
