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.
Highlights
Power system stability draws more attention due to some major problems in modern power system network
To control the hybrid power system model (HPSM) efficiently and to damp out any unpredicted oscillations, this paper presents an intelligent use of proportional integral derivative (PID) controller with derivative filter (PIDF) as a secondary controller along with a STATCOM controller to fulfill the requisite reactive power demand at the time of any disturbance
6 Conclusions and scope of future work In this paper, a new reactive power control strategy has been tested under predefined load profiles
Summary
Power system stability draws more attention due to some major problems in modern power system network. A proportional-integral (PI) controller is applied as secondary controller along with STATCOM or other FACTS devices to minimize other stability problems of the HPSM This controller does not provide appropriate results for fluctuating nature of the wind energy power generation. To control the HPSM efficiently and to damp out any unpredicted oscillations, this paper presents an intelligent use of proportional integral derivative (PID) controller with derivative filter (PIDF) as a secondary controller along with a STATCOM controller to fulfill the requisite reactive power demand at the time of any disturbance. For better performance of the renewable based HPSM and fast reactive power control, different soft computing techniques have been applied successfully in the stateof-the-art literatures to tune the various parameters of the controllers.
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