This paper proposes a V2G operation method of EV to be able to perform frequency regulation, EV charging, and SOC management. This method exhibits the multifunctionality in regard to instantaneous discharging EVs during the charging against frequency drop; primary driving and power grid ancillary services for example, frequency stabilization by simultaneously managing the desired state of charge (SOC) of the batteries. Hence, it can bring the benefits in stabilizing grid frequency under high penetration of renewable energy. We also develop the mathematical models based on characteristics of the proposed EV charging method for analysis and design. The outcomes indicate charging/charged EV can participate in frequency regulation so that EV demand adjustment helps embrace renewable energy variation and stabilize the power system. The feasibility of this method is verified for a real power grid model to demonstrate efficacy of EV charging control for SOC management using DIgSILENT/PowerFactory.
|Title of host publication||2019 9th International Conference on Power and Energy Systems, ICPES 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2019 Dec|
|Event||9th International Conference on Power and Energy Systems, ICPES 2019 - Perth, Australia|
Duration: 2019 Dec 10 → 2019 Dec 12
|Name||2019 9th International Conference on Power and Energy Systems, ICPES 2019|
|Conference||9th International Conference on Power and Energy Systems, ICPES 2019|
|Period||19/12/10 → 19/12/12|
Bibliographical noteFunding Information:
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2018R1C1B5084745). J. Shim is with Dept. of Energy Engineering, Inje University, South Korea. G. Verbic is with the School of Electrical and Information Engineering, The University of Sydney, Sydney, Australia. K. Hur is with School of Electronic and Electrical Engineering, Yonsei University, Seoul, S. Korea. (e-mail: email@example.com).
© 2019 IEEE.
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Fuel Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization