Benchmark models for the analysis and control of small-signal oscillatory dynamics in power systems

Canizares, C., Fernandes, T., Geraldi, E. , Gerin-Lajoie, L., Gibbard, M., Hiskens, I., Kersulis, J., Kuiava, R., Lima, L., DeMarco, F., Martins, N., Pal, B. C., Piardi, A., Ramos TF Chair, R., dos Santos, J., Silva, D., Singh, A. K., Tamimi, B., Vowles, D., , and , (2016) Benchmark models for the analysis and control of small-signal oscillatory dynamics in power systems. IEEE Transactions on Power Systems, 32 (1). pp. 715-722. ISSN 0885-8950


Request a copy
28763 Accepted version.pdf
[img] PDF
07463478.pdf - Whole Document
Restricted to Repository staff only

28763 Accepted version.pdf - Whole Document

Item Type:Article
Item Status:Live Archive


This paper summarizes a set of six benchmark systems for the analysis and control of electromechanical oscillations in power systems, recommended by the IEEE Task Force on Benchmark Systems for Stability Controls of the Power System Dynamic Performance Committee. The benchmark systems were chosen for their tutorial value and particular characteristics leading to control the system design problems relevant to the research community. For each benchmark, the modeling guidelines are provided, along with eigenvalues and time-domain results produced with at least two simulation softwares, and one possible control approach is provided for each system as well. Researchers and practicing engineers are encouraged to use these benchmark systems when assessing new oscillation damping control strategies.

Keywords:small-signal stability, Benchmark system, damping controller, electromechanical oscillations, power system stabilizer, power system small-signal oscillatory dynamic control, oscillation damping control strategy, time-domain analysis, eigenvalues, stability control, power system dynamic performance committee, IEEE Task Force, electromechanical oscillation analysis, electromechanical oscillation control, benchmark model, power system small-signal oscillatory dynamic analysis, eigenvalues and eigenfunctions, power system control, power system dynamic stability, bmjconvert
Subjects:H Engineering > H660 Control Systems
H Engineering > H631 Electrical Power Generation
H Engineering > H310 Dynamics
H Engineering > H630 Electrical Power
Divisions:College of Science > School of Engineering
Related URLs:
ID Code:28763
Deposited On:04 Oct 2017 13:02

Repository Staff Only: item control page