1. [1] Asmus P. Microgrids, virtual power plants and our distributed energy future. Electr J 2010;23:72-82. [ DOI:10.1016/j.tej.2010.11.001] 2. [2] Pedrasaa MAA, Spoonerb TD, MacGillb IF. A novel energy service model and optimal scheduling algorithm for residential distributed energy resources. 3. [3] Wencong, S., Mo-Yuen, C., (2012). Performance evaluation of an EDA-based large-scale plug-in hybrid electric vehicle charging algorithm. IEEE Trans Smart Grid; 3(1): 308e15. [ DOI:10.1109/TSG.2011.2151888] 4. [4] Tushar, W., Saad, W., Poor, HV., Smith, DB., (2012). Economics of electric vehicle charging: a game theoretic approach. IEEE Trans Smart Grid;3(4): 1767e78. [ DOI:10.1109/TSG.2012.2211901] 5. [5] Rahimi, F., & Ipakchi, A. (2010). Demand response as a market resource under the smart grid paradigm. Smart Grid, IEEE Transactions on, 1(1), 82-88. [ DOI:10.1109/TSG.2010.2045906] 6. [6] Chu, C. M., Jong, T. L., & Huang, Y. W. (2005, June). A direct load control of air-conditioning loads with thermal comfort control. In Power Engineering Society General Meeting, 2005. IEEE (pp. 664-669). 7. [7] Herter, K. (2007). Residential implementation of critical-peak pricing of electricity. Energy Policy, 35(4), 2121-2130. [ DOI:10.1016/j.enpol.2006.06.019] 8. [8] Triki, C., & Violi, A. (2009). Dynamic pricing of electricity in retail markets. 4OR, 7(1), 21-36. [ DOI:10.1007/s10288-007-0056-2] 9. [9] Xiong, G., Chen, C., Kishore, S., & Yener, A. (2011, January). Smart (in-home) power scheduling for demand response on the smart grid. In Innovative smart grid technologies (ISGT), 2011 IEEE PES (pp. 1-7). IEEE. 10. [10] Samadi, P., Mohsenian-Rad, A. H., Schober, R., Wong, V. W., & Jatskevich, J. (2010, October). Optimal real-time pricing algorithm based on utility maximization for smart grid. In Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on (pp. 415-420). IEEE. [ DOI:10.1109/SMARTGRID.2010.5622077] 11. [11] Mohsenian-Rad, A. H., Wong, V. W., Jatskevich, J., Schober, R., & Leon-Garcia, A. (2010). Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. Smart Grid, IEEE Transactions on, 1(3), 320-331. [ DOI:10.1109/TSG.2010.2089069] 12. [12] Adika, C. O., & Wang, L. (2014). Demand-side bidding strategy for residential energy management in a smart grid environment. Smart Grid, IEEE Transactions on, 5(4), 1724-1733. [ DOI:10.1109/TSG.2014.2303096] 13. [13] Wen, F., & David, A. K. (2001). Optimal bidding strategies for competitive generators and large consumers. International Journal of Electrical Power & [ DOI:10.1016/S0142-0615(00)00032-6] 14. [14] Herranz, R., Munoz San Roque, A., Villar, J., & Campos, F. A. (2012). Optimal demand-side bidding strategies in electricity spot markets. Power Systems, IEEE Transactions on, 27(3), 1204-1213. [ DOI:10.1109/TPWRS.2012.2185960] 15. [15] Richter Jr, C. W., & Sheblé, G. B. (1998). Genetic algorithm evolution of utility bidding strategies for the competitive marketplace. Power Systems, IEEE Transactions on, 13(1), 256-261. [ DOI:10.1109/59.651644] 16. [16] Conejo, A. J., Nogales, F. J., & Arroyo, J. M. (2002). Price-taker bidding strategy under price uncertainty. Power Systems, IEEE Transactions on, 17(4), 1081-1088. [ DOI:10.1109/TPWRS.2002.804948] 17. [17] Conejo, A. J., Contreras, J., Arroyo, J. M., & De la Torre, S. (2002). Optimal response of an oligopolistic generating company to a competitive pool-based electric power market. Power Systems, IEEE Transactions on, 17(2), 424-430. [ DOI:10.1109/TPWRS.2002.1007913] 18. [18] Steen D, Tuan LA, Carlson O, Bertling L. (2012). Assessment of electric vehicle charging scenarios based on demographical data. IEEE Trans Smart Grid; 3(3):1457e68. [ DOI:10.1109/TSG.2012.2195687] 19. [19] Linni, J., Honghong, X., Guoqing, X., Xinyu, Z., Dongfang, Z., Shao, ZY., (2013). Regulated charging of plug-in hybrid electric vehicles for minimizing load variance in household smart microgrid. IEEE Trans Ind Electron; 60(8):3218e26. [ DOI:10.1109/TIE.2012.2198037] 20. [20] Yifeng, H., Venkatesh, B., Ling, G., (2012). Optimal scheduling for charging and discharging of electric vehicles. IEEE Trans Smart Grid;3(3): 1095e105. [ DOI:10.1109/TSG.2011.2173507] 21. [21] Sundstrom, O., Binding, C., (2012). Flexible charging optimization for electric vehicles considering distribution grid constraints. IEEE Trans Smart Grid; 3(1): 26e37. [ DOI:10.1109/TSG.2011.2168431] 22. [22] Wu, D., Aliprantis, DC., Ying, L., (2011). On the choice between uncontrolled and controlled charging by owners of PHEVs. IEEE Trans Power Deliv; 26(4):2882e4. [ DOI:10.1109/TPWRD.2011.2159671] 23. [23] Saber, AY., Venayagamoorthy, GK., (2012). Resource scheduling under uncertainty in a smart grid with renewables and plug-in vehicles. Syst J IEEE; 6(1):103e9. [ DOI:10.1109/JSYST.2011.2163012] 24. [24] Pipattanasomporn, M., Kuzlu, M., Rahman, S., (2012). An algorithm for intelligent home energy management and demand response Analysis. IEEE Trans Smart Grid; 3(4):2166e73. [ DOI:10.1109/TSG.2012.2201182] 25. [25] Nunna, H., Doolla, S., (2012), Demand response in smart distribution system with multiple microgrids. IEEE Trans Smart Grid; 3(4):1641e9. [ DOI:10.1109/TSG.2012.2208658] 26. [26] Kempton, W., Tomi_c, J., (2005). Vehicle-to-grid power fundamentals: calculating capacity and net revenue. J Power Sources; 144(1):268e79. [ DOI:10.1016/j.jpowsour.2004.12.025] 27. [27] Sousa, T., Morais, H., Soares, J., Vale, Z., (2012). Day-ahead resource scheduling in smart grids considering vehicle-to-grid and network constraints. Appl Energy; 96:183e93. [ DOI:10.1016/j.apenergy.2012.01.053] 28. [28] Battistelli, C., Baringo, L., Conejo, A., (2012). Optimal energy management of small electric energy systems including V2G facilities and renewable energy sources. Electr Power Syst Res; 92:50e9. [ DOI:10.1016/j.epsr.2012.06.002] 29. [29] Pang, C., Dutta, P., Kezunovic, M., (2012). BEVs/PHEVs as dispersed energy storage for V2B uses in the smart grid. IEEE Trans Smart Grid; 3(1):473e82. [ DOI:10.1109/TSG.2011.2172228] 30. [30] Sanchez-Martin, P., Sanchez, G., Morales-Espana, G., (2012). Direct load control decision model for aggregated EV charging points. IEEE Trans Power Syst; 27(3):1577e84. [ DOI:10.1109/TPWRS.2011.2180546] 31. [31] Guille, C., Gross, G., (2009). A conceptual framework for the vehicle-to-grid (V2G) implementation. Energy Policy; 37(11):4379e90. [ DOI:10.1016/j.enpol.2009.05.053] 32. [32] Han, S., Han, S., & Sezaki, K. (2010). Development of an optimal vehicle-to-grid aggregator for frequency regulation. Smart Grid, IEEE Transactions on, 1(1), 65-72. [ DOI:10.1109/TSG.2010.2045163] 33. [33] Santos, A.; McGuckin, N.; Nakamoto, H.; Gray, D.; Liss, S. Summary of Travel Trends: 2009 National Household Travel Survey; Technical Report; U.S. Department of Transportation, Federal Highway Administration: Washington, DC, USA, 2009. 34. [34] Kenworthy, J.R. Transport Energy Use and Greenhouse Gases in Urban Passenger System: A case study of 84 Global Cities. In Proceedings of the Third Conference of the Regional Government Network for Sustainable Development, Notre Dame University, Fremantle, Australia, 17-19 September 2003. 35. [35] X. Ai and J. J. Xu, "Study on the microgrid and distribution network cooperation model based on interactive scheduling,"Power Syst. Protect. Control, vol. 41, no. 1, pp. 143-149, 2013. 36. [36] D. K. Khatod, V. Pant, and J. Sharma, "Evolutionary programming based optimal placement of renewable distributed generators,"IEEE Trans. Power Syst., vol. 28, no. 2, pp. 683-695, May 2013. [ DOI:10.1109/TPWRS.2012.2211044] 37. [37] P. Faria, "Demand Response in future power systems management-A conceptual framework and simulation tool," Master degree thesis, School of Engineering - Polytechnic of Porto, Portugal, 2011.
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