| Issue |
E3S Web Conf.
Volume 184, 2020
2nd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED 2020)
|
|
|---|---|---|
| Article Number | 01043 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/e3sconf/202018401043 | |
| Published online | 19 August 2020 | |
Relay Feedback Identification based Load Frequency Control and Controller Design
1 EEE Departmemt, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India,
2 EEE Departmemt, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India,
* Corresponding author: pavankunduru796@gmail.com
The main objective of power system operation and control is to maintain the continuity of supply with required quality and reliability. In power system operation one of the issue is Load frequency control. Generally, the dynamics of the system ( i.e the over all dynamics of governor ,turbine, load and machine) for isolated or inter-connected power system is of higher order. The controller design for a higher order system is a tedious process. In order to over come this difficultly relay feedback identification approach has been adopted. In this approach the higher order system has been reduced to lower order system by the method of IMC-PID tuning control. Robust controller has been design for identified model for single area power system in order to achieve satisfactory closed loop performance. The same concepts have been readily extended to multi area power system.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.