TY - GEN
T1 - Fuzzy-Logic-Based Adaptive Internal Model Control for Load Frequency Control Systems with Electric Vehicles
AU - Song, Dongyi
AU - Shao, Yunfeng
AU - Zou, Suli
AU - Zhao, Xin
AU - Li, Shicai
AU - Ma, Zhongjing
N1 - Publisher Copyright:
© 2020 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2020/7
Y1 - 2020/7
N2 - 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.
AB - 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.
KW - EVs
KW - LFC
KW - fuzzy-logic-based adaptive TDF IMC
UR - http://www.scopus.com/inward/record.url?scp=85091396588&partnerID=8YFLogxK
U2 - 10.23919/CCC50068.2020.9189055
DO - 10.23919/CCC50068.2020.9189055
M3 - Conference contribution
AN - SCOPUS:85091396588
T3 - Chinese Control Conference, CCC
SP - 1987
EP - 1993
BT - Proceedings of the 39th Chinese Control Conference, CCC 2020
A2 - Fu, Jun
A2 - Sun, Jian
PB - IEEE Computer Society
T2 - 39th Chinese Control Conference, CCC 2020
Y2 - 27 July 2020 through 29 July 2020
ER -