Fuzzy-Logic-Based Adaptive Internal Model Control for Load Frequency Control Systems with Electric Vehicles

Dongyi Song, Yunfeng Shao, Suli Zou, Xin Zhao, Shicai Li, Zhongjing Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 39th Chinese Control Conference, CCC 2020
EditorsJun Fu, Jian Sun
PublisherIEEE Computer Society
Pages1987-1993
Number of pages7
ISBN (Electronic)9789881563903
DOIs
Publication statusPublished - Jul 2020
Event39th Chinese Control Conference, CCC 2020 - Shenyang, China
Duration: 27 Jul 202029 Jul 2020

Publication series

NameChinese Control Conference, CCC
Volume2020-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference39th Chinese Control Conference, CCC 2020
Country/TerritoryChina
CityShenyang
Period27/07/2029/07/20

Keywords

  • EVs
  • LFC
  • fuzzy-logic-based adaptive TDF IMC

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Song, D., Shao, Y., Zou, S., Zhao, X., Li, S., & Ma, Z. (2020). Fuzzy-Logic-Based Adaptive Internal Model Control for Load Frequency Control Systems with Electric Vehicles. In J. Fu, & J. Sun (Eds.), Proceedings of the 39th Chinese Control Conference, CCC 2020 (pp. 1987-1993). Article 9189055 (Chinese Control Conference, CCC; Vol. 2020-July). IEEE Computer Society. https://doi.org/10.23919/CCC50068.2020.9189055