Integration of electric vehicles for load frequency output feedback H∞ control of smart grids. Issue 13 (1st October 2016)

• Record Type: Journal Article
• Authors: Pham, Thanh Ngoc; Trinh, Hieu; Hien, Le Van; Wong, Kit Po
• Is Part Of: IET generation, transmission & distribution. Volume 10:Issue 13(2016)
• Page Start: 3341
• Page End: 3352
• Publication Date: 2016-10-01
• Subjects: electric vehicles -- H∞ control -- smart power grids -- load regulation -- closed loop systems -- turbines -- thermal power stations -- linear matrix inequalities -- power system stability -- power generation control; electric vehicles -- load frequency output feedback H∞ control -- smart grids -- thermal turbine units -- power system mathematical model -- EV dynamic interaction -- multiple‐network‐induced time delays -- dynamic output feedback H∞ controller -- refined Jensen‐based inequality -- tractable linear matrix inequalities -- closed‐loop system -- power system stability; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2016.0375
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : 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.