| Abstract: |
| Conventional proportional integral derivative (PID) controllers are being used in the industries for control purposes.
It is very simple in design and low in cost but it has less capability to minimize the low frequency noises of the
systems. Therefore, in this study, a low pass filter has been introduced with the derivative input of the PID
controller to minimize the noises and to improve the transient stability of the system. This paper focuses upon the
stability improvement of a wind-diesel hybrid power system model (HPSM) using a static synchronous compensator
(STATCOM) along with a secondary PID controller with derivative filter (PIDF). Under any load disturbances, the
reactive power mismatch occurs in the HPSM that affects the system transient stability. STATCOM with PIDF
controller is used to provide reactive power support and to improve stability of the HPSM. The controller
parameters are also optimized by using soft computing technique for performance improvement. This paper
proposes the effectiveness of symbiosis organisms search algorithm for optimization purpose. Binary coded genetic
algorithm and gravitational search algorithm are used for the sake of comparison. |
| Key words: Binary coded genetic algorithm, Gravitational search algorithm, Hybrid power system model, PID
controller with derivative filter, Static synchronous compensator, Symbiosis organisms search algorithm, Transient
stability |
| DOI：10.1186/s41601-020-00158-8 |
|
| Fund: |
|
