Networked Control of Electric Vehicles for Power System Frequency Regulation with Random Communication Time Delay

Yunpeng Guo, Liyan Zhang, Junhua Zhao, Fushuan Wen, Abdus Salam, Jianwei Mao and Liang Li
Additional contact information
Yunpeng Guo: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Liyan Zhang: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Junhua Zhao: School of Science and Engineering, Chinese University of Hong Kong (Shenzhen), Shenzhen 518100, China
Fushuan Wen: Department of Electrical and Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei
Abdus Salam: Department of Electrical and Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei
Jianwei Mao: Division of Electric Vehicle Service, State Grid Zhejiang Electric Power Company, Hangzhou 310007, China
Liang Li: Division of Electric Vehicle Service, State Grid Zhejiang Electric Power Company, Hangzhou 310007, China

Energies, 2017, vol. 10, issue 5, 1-23

Abstract: Electric vehicles (EVs) can have noteworthy impact on power system dynamic performance. This paper develops two novel controllers which can take into account the random time delay in the communication channel of the control system. With the designed robust controller, the system can utilize EVs to participate in automatic generation control (AGC) processes so as to assist conventional thermal power units to respond rapidly and accurately to load fluctuations, as well as to enhance the capability of a power system to accommodate renewable energy forms such as wind power. Owing to the distributed nature of EVs, a networked control scheme for EVs’ participation in frequency regulation is first proposed in the paper. A closed-loop block diagram, which incorporates EVs and wind power, is then developed. Two controllers are then designed based on rigorous linear matrix inequalities (LMI) theory to ensure the robustness and stability of the system. Finally, comprehensive case studies based on a two-area equivalent of the IEEE 39-bus test system are performed to demonstrate the effectiveness of the proposed methods.

Keywords: frequency regulation; electric vehicles; wind power; networked control; linear matrix inequalities; optimal H ? - PID full-state feedback control; suboptimal H ? - PID output feedback control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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