Abstract
The imbalance of generation and load demand leads to frequency deviation, and this problem may become more serious when intermittent wind power employed in grids. In recent years, the number of electric vehicles connected to power grids has increased rapidly. Electric Vehicles (EVs) can be used as distributed energy storages and controllable loads based on V2G technical, thereby, they have the potential for frequency regulation services, thus they are considered in the system. The LFC system in this study includes controller, governor, turbine generator, EVs, intermittent wind power and load. For controller design convenience, an EV aggregator model is proposed to represent all EVs in the system for reducing the system order. For further improvement of the system performance, we propose a fuzzy-logic-based adaptive two degree of freedom (TDF) internal model control (IMC) design method for load frequency control (LFC) in this paper. The controller parameters are tuned through designed fuzzy rules to achieve a better closed-loop response. Time domain simulations demonstrate that the proposed controller can improve the dynamic response as compared with other TDF IMC controller.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
