%0 Electronic Article
%A Thanh Ngoc Pham
%+ Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, Australia
%A Hieu Trinh
%+ School of Engineering, Deakin University, Geelong, Australia
%A Le Van Hien
%+ Department of Mathematics, Hanoi National University of Education, Hanoi, Vietnam
%+ School of Engineering, Deakin University, Geelong, Australia
%A Kit Po Wong
%+ School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Perth, Australia
%K tractable linear matrix inequalities
%K dynamic output feedback H∞ controller
%K power system stability
%K refined Jensen-based inequality
%K smart grids
%K closed-loop system
%K load frequency output feedback H∞ control
%K multiple-network-induced time delays
%K power system mathematical model
%K EV dynamic interaction
%K thermal turbine units
%K electric vehicles
%X This study considers a novel application of electric vehicles (EVs) to quickly help reheated thermal turbine units to provide the stability fluctuated by load demands. A mathematical model of a power system with EVs is first derived. This model contains the dynamic interactions of EVs and multiple network-induced time delays. Then, a dynamic output feedback H ∞ controller for load frequency control of power systems with multiple time delays in the control input is proposed. To address the multiple time delays issue, a refined Jensen-based inequality, which encompasses the Jensen inequality, is used to derive less conservative synthesis conditions in terms of tractable linear matrix inequalities. A procedure is given to parameterise an output feedback controller to guarantee stability and H ∞ performance of the closed-loop system. Extensive simulations are conducted to validate the proposed control method.
%@ 1751-8687
%T Integration of electric vehicles for load frequency output feedback *H* _{∞} control of smart grids
%B IET Generation, Transmission & Distribution
%D October 2016
%V 10
%N 13
%P 3341-3352
%I Institution of Engineering and Technology
%U https://digital-library.theiet.org/;jsessionid=28bp7169ljg6j.x-iet-live-01content/journals/10.1049/iet-gtd.2016.0375
%G EN