Abstract
The time-varying characteristics of electric vehicle (EV) controllable energy and the rationality of frequency regulation (FR) task allocation have significant influences on participating in system FR. Considering the various types of EV, the controllable quantities and the real-time controllable energy of EVs are simulated and calculated. On the basis of the real-time changes of EV’s controllable energy, the real-time allocating scheme of system FR coefficient is put forward. The simulation results show that the real-time adjustment of load frequency control (LFC) model based on dynamic controllable energy of EV can effectively suppress the system frequency deviation; under the same total battery energy, the electric private car participates in the system FR for the longest time, the real-time controllable energy of which is the largest; the real-time allocating ratio of system FR has a wide range of fluctuation, and the FR effect under real-time allocation mode is better than that under the fixed allocation mode.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhao, J., Xue, L., Fu, Y., Hu, X., Li, F.: Coordinated microgrid frequency regulation based on DIFG variable coefficient using virtual inertia and primary frequency control. IEEE Trans. Energy Conv. 31(3), 833–845 (2016)
Kaur, K., Rana, R., Kumar, N., Singh, M., Mishra, S.: A colored petri net based frequency support scheme using fleet of electric vehicles in smart grid environment. IEEE Trans. Power Syst. 31(6), 4638–4649 (2016)
Rana, R., Singh, M., Mishra, S.: Design of modified droop controller for frequency support in microgrid using fleet of electric vehicles. IEEE Trans. Power Syst. 32(5), 3627–3636 (2017)
Luo, Z., Hu, Z., Song, Y., Xu, Z., Lu, H.: Optimal coordination of plug-in electric vehicles in power grids with cost-benefit analysis-part ii: a case study in china. IEEE Trans. Power Syst. 28(4), 3556–3565 (2013)
Qian, K., Zhou, C., Allan, M.M., Yuan, Y.: Modeling of load demand due to ev battery charging in distribution systems. IEEE Trans. Power Syst. 26(2), 802–810 (2011)
Sarabi, S., Davigny, A., Courtecuisse, V., Riffonneau, Y., Robyns, B.: Potential of vehicle-to-grid ancillary services considering the uncertainties in plug-in electric vehicle availability and service/localization limitations in distribution grids. Appl. Energy 171, 523–540 (2016)
Shimizu K., Masuta T., Ota Y., A. Yokoyama.: A new load frequency control method in power system using vehicle-to-grid system considering users’ convenience. In: 17th Power System Computation Conference, pp. 1–7. Technical Program Committee, Stockholm (2011)
Shinji, T., Sekine, T., Akisawa, A., Kashiwagi, T., Fujita, G., Matsubara, M.: Reduction of power fluctuation by distributed generation in micro grid. Elect. Eng. Japan 163(2), 22–29 (2008)
Vachirasricirikul, S., Ngamroo, I.: Robust LFC in a smart grid with wind power penetration by coordinated V2G control and frequency controller. IEEE Trans. Smart Grid 5(1), 371–380 (2014)
Takagi M., Yamaji K., Yamamoto H.: Power system stabilization by charging power management of plug-in hybrid electric vehicles with LFC signal. In: IEEE Vehicle Power and Propulsion Conference, pp. 822–826. IEEE Press, Dearborn (2009)
Acknowledgment
This work was supported by the National Natural Science Foundation of China (51507022).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, Y., Zhang, Q., Li, C., Li, C. (2018). Real-Time Adjustment of Load Frequency Control Based on Controllable Energy of Electric Vehicles. In: Li, K., Zhang, J., Chen, M., Yang, Z., Niu, Q. (eds) Advances in Green Energy Systems and Smart Grid. ICSEE IMIOT 2018 2018. Communications in Computer and Information Science, vol 925. Springer, Singapore. https://doi.org/10.1007/978-981-13-2381-2_10
Download citation
DOI: https://doi.org/10.1007/978-981-13-2381-2_10
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-2380-5
Online ISBN: 978-981-13-2381-2
eBook Packages: Computer ScienceComputer Science (R0)