Wide Area Control for Improving Stability of a Power System with Plug-in Electric Vehicles
Abstract
The integration of plug-in electric vehicles (PEVs) to power systems has impacts on the stability characteristics of the integrated systems. Wide area controllers (WACs) are used in power systems to provide auxiliary control signals to the generators or other devices in order to improve the stability of the system. the necessity of WACs becomes more relevant during grid-to-vehicle (G2V) or vehicle-to-grid (V2G) power transactions, that is, charging and discharging cycles of the PEVs respectively. the design of a WAC for providing damping to three generators in a 12-bus power system with PEVs is presented in this study. Each WAC signal is obtained based on the aggregation of modulated local and remote power system stabilisers' signals. the modulation indices associated with those signals are tuned using the particle swarm optimisation technique to provide the maximum damping to the three generators. the 12-bus power system with the PEVs and WAC has been implemented on the real-time digital simulator (RTDS). Typical results have been presented to show the improvement in the stability of the power system when PEVs are integrated using transient simulations and Prony analysis. © 2010 the Institution of Engineering and Technology.
Recommended Citation
P. Mitra and G. K. Venayagamoorthy, "Wide Area Control for Improving Stability of a Power System with Plug-in Electric Vehicles," IET Generation, Transmission and Distribution, vol. 4, no. 10, pp. 1151 - 1163, Wiley Open Access; Institution of Engineering and Technology (IET), Oct 2010.
The definitive version is available at https://doi.org/10.1049/iet-gtd.2009.0505
Department(s)
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
1751-8687
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2024 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Oct 2010