A novel adaptive deadbeat- based control for load frequency control of low inertia system in interconnected zones north and south of Scotland

Muhssin, Mazin T. ORCID: https://orcid.org/0000-0002-2780-3845, Cipcigan, Liana Mirela ORCID: https://orcid.org/0000-0002-5015-3334, Al-Obaidi, Zeyad Assi and AL-Ansari, Wissam F. 2017. A novel adaptive deadbeat- based control for load frequency control of low inertia system in interconnected zones north and south of Scotland. International Journal of Electrical Power and Energy Systems 89 , pp. 52-61. 10.1016/j.ijepes.2016.12.005

Full text not available from this repository.

Abstract

An adaptive deadbeat (ADB) controller was developed to investigate its capability in providing a fast frequency response to an electrical power system. This controller was developed to meet the requirements of the National Grid System Operability Framework (SOF), which requires frequency to be accelerated in line with a fast rate of change of frequency (RoCoF) when a high rate of nonsynchronous machines are presented. The controller’s parameters were optimized using particle swarm optimization (PSO) to ensure a robust operation and to maintain the proper operation of the power system. The design of the ADB controller was then integrated with the multiarea model of the north and south zones of Scotland. This model was developed in order to conform to the future energy requirements scenario stated by National Grid whereby regional control can be provided in both the north and south of Scotland. In comparison with the standard PI and Fuzzy-PI controllers used in the four highlighted case studies, it was shown that the ADB controller was able to significantly reduce the RoCoF and deviation of frequency when a sudden loss of generation occurred in a low inertia zone. The ADB also showed high robustness against a wide range of operating conditions.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Publisher:	Elsevier
ISSN:	0142-0615
Date of Acceptance:	5 December 2016
Last Modified:	02 Nov 2022 10:09
URI:	https://orca.cardiff.ac.uk/id/eprint/97659

Citation Data

Cited 19 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item