An Automated Transient Stability Constrained Optimal Power Flow Based On Trajectory Sensitivity Analysis
Keywords
Linear programming; time-domain simulation; trajectory approximation; trajectory sensitivity; transient stability; transient stability constrained OPF
Abstract
This paper presents an automated transient stability constrained optimal power flow (ATSC-OPF). ATSC-OPF automates the design of linear transient stability constraints without online human interference thus is adaptive to the change of real-time operating conditions and suitable for applications in industrial dispatch programs. The design of transient stability constraints uses trajectory sensitivities to separate the integration of time-domain simulation from the online computing of optimal power flow. For identified unstable cases, a generic iterative algorithm is proposed to search corresponding stable base cases required to calculate trajectory sensitivities. ATSC-OPF identifies and limits only the key generators at critical time to minimize the extra computational burden brought by the transient stability constraints. The designed transient stability constraints are incorporated into ATSC-OPF only when needed in operation. The limits in the transient stability constraints are determined with manageable stability margin to avoid unnecessary increase of operational cost. The performance of ATSC-OPF is studied with the New England 39-bus system for a single-contingency situation and a 140-bus simplified NPCC system for a multicontingency situation.
Publication Date
1-1-2017
Publication Title
IEEE Transactions on Power Systems
Volume
32
Issue
1
Number of Pages
590-599
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/TPWRS.2016.2551278
Copyright Status
Unknown
Socpus ID
85008481842 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85008481842
STARS Citation
Tang, Lei and Sun, Wei, "An Automated Transient Stability Constrained Optimal Power Flow Based On Trajectory Sensitivity Analysis" (2017). Scopus Export 2015-2019. 6040.
https://stars.library.ucf.edu/scopus2015/6040