الفهرس 
IntroductionOnly 14 pages are availabe for public view
 |  | from | 171 |  |  |
| | | from | 171 | | |
Abstract
This research presented three controllers to stabilize wind energy distributed generation systems
(WEDG). The first controller is blade pitch PID controller (BPC-PID) optimized using particle
swarm optimization technique (PSO). Simulation results clarify the effectiveness of the BPC-PID
and its flexibility towards improving the system’s dynamic behavior and enhancing the system’s
stability under parameter uncertainties. The second controller is variable-structure adaptive
fuzzy-logic power system stabilizer (AFPSS). AFPSS uses the speed deviation and the deviation
in accelerating power of the synchronous machine as the inputs. The reliability of the AFPSS is
2/2
proved through a comparison of its response to those both of classical fuzzy-logic PSS (FLPSS)
and conventional power system stabilizer (CPSS). The third controller is predictive fuzzy-logic
power system stabilizer (PFPSS). To investigate the PFPSS performance, its response is
compared to CPSS, FLPSS, and AFPSS. The proposed controllers are used to propose new
control strategies for the stabilization of the WEDG based interconnected power system. Case
studies are carried out to evaluate the effect of the proposed controllers on the behaviour of the
system.
Finally, the experimental works for implementing the proposed controllers were carried out using
hardware in the loop technique (HIL). The obtained results using digital signal processor (DSP)
proved that the controllers exhibit an excellent performance.