Page 480 - Decision Making Applications in Modern Power Systems
P. 480

Multistage and decentralized operations of Chapter | 16  439


             [14] P. Sanchez-Martin, G. Sanchez, G. Morales-Espana, Direct load control decision model
                 for aggregated EV charging points, IEEE Trans. Power Syst. 27 (3) (2012) 1577 1584.
             [15] E.C. Kara, J.S. Macdonald, D. Black, M. Be ´rges, G. Hug, S. Kiliccote, Estimating the
                 benefits of electric vehicle smart charging at non-residential locations: a data-driven
                 approach, Appl. Energy 155 (2015) 515 525.
             [16] W. Su, M.-Y. Chow, Performance evaluation of an EDA-based large-scale plug-in hybrid
                 electric vehicle charging algorithm, IEEE Trans. Smart Grid 3 (1) (2012) 308 315.
             [17] Y. He, B. Venkatesh, L. Guan, Optimal scheduling for charging and discharging of elec-
                 tric vehicles, IEEE Trans. Smart Grid 3 (3) (2012) 1095 1105.
             [18] S. Shao, M. Pipattanasomporn, S. Rahman, Grid integration of electric vehicles and
                 demand response with customer choice, IEEE Trans. Smart Grid 3 (1) (2012) 543 550.
             [19] Y. Xiong, B. Wang, C.-C. Chu, R. Gadh, Electric Vehicle Driver Clustering using
                 Statistical Model and Machine Learning, arXiv:1802.04193 [cs], Feb. 2018.
             [20] Y. Xiong, B. Wang, C. Chu, R. Gadh, Distributed Optimal Vehicle Grid Integration
                 Strategy with User Behavior Prediction, arXiv:1703.04552 [cs, math], Mar. 2017.
             [21] B. Wang, Y. Wang, C. Qiu, C.C. Chu, R. Gadh, Event-based electric vehicle scheduling
                 considering random user behaviors, in: 2015 IEEE International Conference on Smart
                 Grid Communications (SmartGridComm), 2015, pp. 313 318.
             [22] Y. Xiong, B. Wang, C. Chu, R. Gadh, Vehicle grid integration for demand response with
                 mixture user model and decentralized optimization, Appl. Energy 231 (2018) 481 493.
             [23] L. Gan, U. Topcu, S.H. Low, Optimal decentralized protocol for electric vehicle charging,
                 IEEE Trans. Power Syst. 28 (2) (2013) 940 951.
             [24] B. Wang, B. Hu, C. Qiu, P. Chu, R. Gadh, EV charging algorithm implementation with
                 user price preference, Innovative Smart Grid Technologies Conference (ISGT), 2015
                 IEEE Power Energy Society, 2015, 1 5.
             [25] N. Rotering, M. Ilic, Optimal charge control of plug-in hybrid electric vehicles in deregu-
                 lated electricity markets, IEEE Trans. Power Syst. 26 (3) (2011) 1021 1029.
             [26] P. Finn, C. Fitzpatrick, D. Connolly, Demand side management of electric car charging:
                 benefits for consumer and grid, Energy 42 (1) (2012) 358 363.
             [27] J. Rivera, P. Wolfrum, S. Hirche, C. Goebel, H. Jacobsen, Alternating direction method of
                 multipliers for decentralized electric vehicle charging control, 52nd IEEE Conference on
                 Decision and Control, 2013, 6960 6965.
             [28] S. Boyd, Distributed optimization and statistical learning via the alternating direction
                 method of multipliers, Found. Trends Mach. Learn. 3 (1) (2010) 1 122.

             Further reading

             H. Zhang, Z. Hu, Z. Xu, Y. Song, Evaluation of achievable vehicle-to-grid capacity using aggre-
                gate PEV model, IEEE Trans. Power Syst. 32 (1) (2017) 784 794.
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