Multi-dispatch for Grid-connected Microgrid with Robust Optimization Algorithm
Tài liệu tham khảo
Adhikari, 2011, Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source, Energy, 36, 6490, 10.1016/j.energy.2011.09.017
Aghaei, 2016, Contribution of plug-in hybrid electric vehicles in power system uncertainty management. Renewable &, Sustainable Energy Reviews, 59, 450, 10.1016/j.rser.2015.12.207
Bertsimas, 2004, The price of robustness, Operations Research, 52, 35, 10.1287/opre.1030.0065
Cardoso, 2014, Optimal investment and scheduling of distributed energy resources with uncertainty in electric vehicle driving schedules, Energy, 64, 17, 10.1016/j.energy.2013.10.092
Lin, 2017, Estimation of the environmental values of electric vehicles in Chinese cities, Energy Policy, 104, 221, 10.1016/j.enpol.2017.01.037
Liu, 2016, Optimum electric boiler capacity configuration in a regional power grid for a wind power accommodation scenario, Energies, 9, 144, 10.3390/en9030144
Lu, 2017, Multi-objective optimal dispatch of microgrid containing electric vehicles, Journal of Cleaner Production, 165, 1572, 10.1016/j.jclepro.2017.07.221
Ma, 2016, Efficient decentralized coordination of large-scale plug-in electric vehicle charging, Automatica, 69, 35, 10.1016/j.automatica.2016.01.035
Mwasilu, 2014, Electric vehicles and smart grid interaction: A review on vehicle to grid and renewable energy sources integration, Renewable & Sustainable Energy Reviews, 34, 501, 10.1016/j.rser.2014.03.031
Pirouzi, 2018, Robust linear architecture for active/reactive power scheduling of EV integrated smart distribution networks, Electric Power Systems Research, 155, 8, 10.1016/j.epsr.2017.09.021
Rahman, 2016, Review of recent trends in optimization techniques for plug-in hybrid. and electric vehicle charging infrastructures, Renewable & Sustainable Energy Reviews, 58, 1039, 10.1016/j.rser.2015.12.353
Shi, R., Sun, C., Zhou, Z., Zhang, L., and Liang, Z. (2016). A robust economic dispatch of residential microgrid with wind power and electric vehicle integration. Control and Decision Conference. May.28-30, Yinchuan, China. (pp.3672-3676). IEEE.
Soares, J., Vale, Z., Borges, N., Lezama, F., and Kagan, N. (2017). Multi-objective robust optimization to solve energy scheduling in buildings under uncertainty. International Conference on Intelligent SystemApplication to Power Systems. Sep.17–21, San Antonio, TX.
Tian, 2010, A statistical model for charging demand of electric vehicles, Power System Technology, 34, 127
Wei, 2014, Robust energy and reserve dispatch under variable renewable generation, IEEE Transactions on Smart Grid, 6, 369, 10.1109/TSG.2014.2317744
Yue, X., Liu, J., Wei, Z., Cao, Y. and Ai, F. (2014). Robust model of microgrid energy optimization with uncertain renewable energy sources, Proceedings of Chinese Society for Electrical Engineering (Proceedings of CSEE), 34(19): 3063-3072.
Zhang, 2017, Present situation and future prospect of renewable energy in China, Renewable & Sustainable Energy Reviews, 76, 865, 10.1016/j.rser.2017.03.023
