City Research Online

Abstract

This article is concerned with modelling, controllability analysis and the design of aggressive robust controllers for interconnected electric power systems. The proposed Load Frequency Control (LFC), relying on H∞ methodologies enhanced with integral action and pole clustering, can provide frequency regulation and fast transient response despite the presence of unknown disturbance load application. The inherent saturation constraints are handled by the combination of a controller gain minimisation framework and an anti-windup enhanced controller design which provides stability guarantees, while avoiding frequency and tie-line power oscillations. For this scheme, particular attention should be paid on the modelling and controllability aspects of the power system, where it is shown that due to the singularity of the Laplacian matrix of the network's graph, a reduction of the state vector is necessary. Simulation studies are offered to illustrate the effectiveness of the suggested scheme.

Publication Type:	Article
Additional Information:	This is an Accepted Manuscript version of the following article, accepted for publication in International Journal of Control. L. Dritsas, E. Kontouras, E. Vlahakis, I. Kitsios, G. Halikias & A. Tzes (2020) Modelling issues and aggressive robust load frequency control of interconnected electric power systems, International Journal of Control, DOI: 10.1080/00207179.2020.1821248. It is deposited under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publisher Keywords:	Load frequency control, control system analysis, H∞ methodologies, power system dynamics, anti-windup control
Subjects:	Q Science > QA Mathematics T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments:	School of Science & Technology
SWORD Depositor:	Symplectic Administrator

Export

Downloads