Coordination of PSSs and SVC Damping Controller to Improve Probabilistic Small-Signal Stability of Power System With Wind Farm Integration

• Published in: IEEE transactions on power systems 2016-05, Vol.31 (3), p.2371-2382
• Main Authors: Bian, X. Y., Yan Geng, Lo, Kwok L., Yang Fu, Zhou, Q. B.
• Format: Article
• Language: English
• Subjects: Damping; Eigenvalues and eigenfunctions; Modified fruit fly optimization algorithm (MFOA); Power system stability; power system stabilizer (PSS); Probabilistic logic; probabilistic small-signal stability; Stability analysis; static VAR compensator (SVC); Static VAr compensators; Wind farms
• ISSN: 0885-8950; 1558-0679
• DOI: 10.1109/TPWRS.2015.2458980

A modified fruit fly optimization algorithm (MFOA) combined with a probabilistic approach are proposed in this paper to coordinate and optimize the parameters of power system stabilizers (PSSs) and static VAR compensator (SVC) damping controller for improving the probabilistic small-signal stability of power systems with large-scale wind generation, taking into consideration the stochastic uncertainty of system operating conditions. It is generally accepted that there is a threat to the stability of power system with penetration of wind farm. In addition, the stochastic fluctuations of wind generation make PSSs tuning more difficult. In this paper, PSSs and SVC damping controller are employed for suppressing local and inter-area low frequency oscillation. In order to eliminate the adverse effect between PSSs and SVC damping controller, the MFOA based on the probabilistic eigenvalue is applied to coordinate and optimize their parameters. The effectiveness of the proposed approach is verified on two test systems.