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access icon openaccess Research on strategy about time-of-use pricing and economic operation of power supplier based on Stackelberg game

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References

    1. 1)
      • 1. Junwei, C., Mingbo, Y., Dehua, Z.: ‘Energy internet: an infrastructure for cyber-energy integration’, South. Power Syst. Technol., 2014, 4, pp. 110(in Chinese).
    2. 2)
      • 2. Qiaozhu, Z., Lingyun, W.: ‘Estimation of generating costs reduction as a result of demand response’, Proc. CSEE, 2014, 34, (7), pp. 11981205(in Chinese).
    3. 3)
      • 3. Shiming, T., Beibei, W., Jing, Z.: ‘Key technologies for demand response in smart grid’, Proc. CSEE, 2014, 34, (22), pp. 35763589(in Chinese).
    4. 4)
      • 4. Torriti, J.: ‘Price-based demand side management: assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy’, Energy, 2012, 44, (1), pp. 576583.
    5. 5)
      • 5. Chen, J., Yang, B., Guan, X.: ‘Optimal demand response scheduling with Stackelberg game approach under load uncertainty for smart grid’. 2012 IEEE Third Int. Conf. on Smart Grid Communications (SmartGridComm), Tainan, Taiwan, November 2012, pp. 546551.
    6. 6)
      • 6. Bu, S., Yu, F.R.: ‘A game-theoretical scheme in the smart grid with demand-side management: towards a smart cyber-physical power infrastructure’, IEEE Trans. Emerg. Top. Comput., 2013, 1, (1), pp. 2232.
    7. 7)
      • 7. Yu, M., Hong, S.H.: ‘A real-time demand-response algorithm for smart grids: a Stackelberg game approach’, IEEE Trans. Smart Grid, 2016, 7, (2), pp. 879888.
    8. 8)
      • 8. Maharjan, S., Zhu, Q., Zhang, Y., et al: ‘Dependable demand response management in the smart grid: a Stackelberg game approach’, IEEE Trans. Smart Grid, 2013, 4, (1), pp. 120132.
    9. 9)
      • 9. El Rahi, G., Etesami, S.R., Saad, W., et al: ‘Managing price uncertainty in prosumer-centric energy trading: a prospect-theoretic Stackelberg game approach’, IEEE Trans. Smart Grid, 2017.
    10. 10)
      • 10. Niu, M., Huang, W., Guo, J., et al: ‘Research on economic operation of grid-connected microgrid’, Power Syst. Technol., 2010, 34, (11), pp. 3842(in Chinese).
    11. 11)
      • 11. Yan, Z, Liu, J, Xu, L.: ‘Economic operation optimization for the micro grid based on the dynamic energy consumption model’, Sichuan Daxue Xuebao, 2014, 46, pp. 140145.
    12. 12)
      • 12. Samadi, P., Mohsenian-Rad, A.H., Schober, R., et al: ‘Optimal real-time pricing algorithm based on utility maximization for smart grid’. 2010 First IEEE Int. Conf. on Smart Grid Communications (SmartGridComm), Gaithersburg, MD, USA, October 2010, pp. 415420.
    13. 13)
      • 13. Tang, Y., Wen, X., Zhan, D., et al: ‘The demand-side management based on differential pricing for smart grid’, Journal of Computational Information Systems, 2015, 11, (17), pp. 62196228, doi: 10.12733/jcis15214.
    14. 14)
      • 14. Bu, S., Yu, F.R., Liu, P.X.: ‘A game-theoretical decision-making scheme for electricity retailers in the smart grid with demand-side management’. 2011 IEEE Int. Conf. on Smart Grid Communications (SmartGridComm), Brussels, Belgium, October 2011, pp. 387391.
    15. 15)
      • 15. Zhang, W.: ‘Game theory and information economics’ (Shanghai People's Publishing House, Shanghai, 1996), pp. 100109.
    16. 16)
      • 16. Nocedal, J., Wright, S.J.: ‘Numerical optimization’ (Springer-Verlag, Berlin, New York, 2006, 2nd edn.), p. 449, ISBN 978-0-387-30303-1.
    17. 17)
      • 17. Kozlov, M.K., Tarasov, S.P., Khachiyan, L.G.: ‘The polynomial solvability of convex quadratic programming’, USSR Comput. Math. Math. Phys., 1980, 20, (5), pp. 223228.
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