PROJECT TITLE :

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

ABSTRACT:

A changed 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 massive-scale wind generation, taking into consideration the stochastic uncertainty of system operating conditions. It is typically accepted that there is a threat to the stability of power system with penetration of wind farm. Likewise, the stochastic fluctuations of wind generation create PSSs tuning a lot of tough. During this paper, PSSs and SVC damping controller are used for suppressing native and inter-space low frequency oscillation. So as to eliminate the adverse impact 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 take a look at systems.