Tap-Changing Operations of Multiple Transformers using ANN Based Controller
نویسندگان
چکیده
منابع مشابه
Tap-Changing Operations of Multiple Transformers using ANN Based Controller
Tap changing operations of multiple transformers at a substation is a complex problem due to issues in controlling the parallel operations of the transformers involved, differences in manufacturer’s design and inaccuracy of the measures. In earlier work Artificial Neural Network (ANN) based tap changer controller has been developed to overcome these difficulties and improved results have been s...
متن کاملExtending Operational Zone of Rotary Power Flow Controller by Controlling Tap-changers of Transformers
This paper proposes a method for extending the ability of rotary power flow controller (RPFC) using tap-changer of the RPFC’s transformers. A detailed model of the device is presented to analyze the effects of the tap changer operation on the performance of the RPFC. To evaluate the results, the RPFC model is simulated using PSCAD/EMTDC software. Dynamic operation of the RPFC on a 400 kV transm...
متن کاملSystematic supervisory control solutions for under-load tap-changing transformers
Discrete-event systems (DES) can be found as essential integrated subsystems in many complex systems, e.g. electrical power systems. Under-load tap-changing (ULTC) transformers which obviously have discrete-event behavior are widely used in transmission systems to take care of instantaneous variations in the load conditions in substations. In this paper, the voltage control problem in ULTC is s...
متن کاملSCG Stability Enhancement Using STATCOM Based-ANN Controller
Abstract: Artificial neural network (ANN) control of static compensator (STATCOM) to improve the damping of power systems is presented. The proposed control strategy is applied on a STATCOM attached to a single machine-infinite bus (SMIB) and a multi-machine power systems that include a superconducting generator (SCG). The proposed control method, ANN-STATCOM is designed based on proportional i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Systems
سال: 2013
ISSN: 1875-6891,1875-6883
DOI: 10.1080/18756891.2013.792543