An advanced retail electricity market for active distribution systems and home microgrid interoperability based on game theory
Tài liệu tham khảo
Savaghebi, 2012, Secondary control scheme for voltage unbalance compensation in an islanded droop-controlled microgrid, IEEE Trans. Smart Grid, 3, 797, 10.1109/TSG.2011.2181432
Marzband, 2013
Jia, 2016, Dynamic pricing and distributed energy management for demand response, IEEE Trans. Smart Grid, 7, 1128, 10.1109/TSG.2016.2515641
Wei, 2015, Energy pricing and dispatch for smart grid retailers under demand response and market price uncertainty, IEEE Trans. Smart Grid, 6, 1364, 10.1109/TSG.2014.2376522
Nekouei, 2015, Game-theoretic frameworks for demand response in electricity markets, IEEE Trans. Smart Grid, 6, 748, 10.1109/TSG.2014.2367494
Marzband, 2017, Optimal energy management system based on stochastic approach for a home microgrid with integrated responsive load demand and energy storage, Sustain. Cities Soc., 28, 256, 10.1016/j.scs.2016.09.017
Hu, 2013, Hardware design of smart home energy management system with dynamic price response, IEEE Trans. Smart Grid, 4, 1878, 10.1109/TSG.2013.2258181
Mojica-Nava, 2015, Population games methods for distributed control of microgrids, IEEE Trans. Smart Grid, 6, 2586, 10.1109/TSG.2015.2444399
Nguyen, 2015, Risk-constrained profit maximization for microgrid aggregators with demand response, IEEE Trans. Smart Grid, 6, 135, 10.1109/TSG.2014.2346024
Nunna, 2012, Demand response in smart distribution system with multiple microgrids, IEEE Trans. Smart Grid, 3, 1641, 10.1109/TSG.2012.2208658
Eksin, 2015, Demand response management in smart grids with heterogeneous consumer preferences, IEEE Trans. Smart Grid, 6, 3082, 10.1109/TSG.2015.2422711
Marzband, 2017, Distributed generation for economic benefit maximization through coalition formation based game theory concept, Int. Trans. Electr. Energy Syst., 1
Marzband, 2016, 1
Guerrero, 2013, Advanced control architectures for intelligent microgrids – part ii: power quality, energy storage, and AC/DC microgrids, IEEE Trans. Ind. Electron., 60, 1263, 10.1109/TIE.2012.2196889
Amini, 2015, Smart residential energy scheduling utilizing two stage mixed integer linear programming, North American Power Symposium (NAPS), 1
Amini, 2017, A comprehensive cloud-based real-time simulation framework for oblivious power routing in clusters of dc microgrids, IEEE Second International Conference on DC Microgrids (ICDCM), 270, 10.1109/ICDCM.2017.8001055
Algarni, 2009, A generic operations framework for discos in retail electricity markets, IEEE Trans. Power Syst., 24, 356, 10.1109/TPWRS.2008.2007001
Lopes, 2013, Agent-based simulation of retail electricity markets: bilateral trading players, 24th International Workshop on Database and Expert Systems Applications, 189
Poveda, 2016, An ontology driven model approach for the creation and evaluation of models in the electricity retail market: a research in progress, IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), 1124, 10.1109/AINA.2016.135
Song, 2016, Research of retail electricity market operation mechanism based on user's side, China International Conference on Electricity Distribution (CICED), 1
Yu, 2004, Agent-based retail electricity market: modeling and analysis, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), vol. 1, 95
Su, 2014, A game theoretic framework for a next-generation retail electricity market with high penetration of distributed residential electricity suppliers, Appl. Energy, 119, 341, 10.1016/j.apenergy.2014.01.003
Chen, 2016, A game theoretic approach to analyze the dynamic interactions of multiple residential prosumers considering power flow constraints, IEEE Power and Energy Society General Meeting (PESGM), 1
Zhang, 2015, Game-theory-based electricity market clearing mechanisms for an open and transactive distribution grid, IEEE Power Energy Society General Meeting, 1
Yang, 2005, Dynamic cournot game behavior of electric power providers in retail electricity market, IEEE Power Engineering Society General Meeting, 2005, 578
Zhang, 2015, A game-theoretic economic operation of residential distribution system with high participation of distributed electricity prosumers, Appl. Energy, 154, 471, 10.1016/j.apenergy.2015.05.011
Lee, 2015, Distributed energy trading in microgrids: a game-theoretic model and its equilibrium analysis, IEEE Trans. Ind. Electron., 62, 3524, 10.1109/TIE.2014.2387340
Ipakchi, 2011, Demand side and distributed resource management – a transactive solution, IEEE Power and Energy Society General Meeting, 1
Chandler, 2014, Smart grid dispatch optimization control techniques for transactive energy systems, IEEE Conference on Technologies for Sustainability (SusTech), 51, 10.1109/SusTech.2014.7046217
Hu, 2017, Application of network-constrained transactive control to electric vehicle charging for secure grid operation, IEEE Trans. Sustain. Energy, 8, 505, 10.1109/TSTE.2016.2608840
Behboodi, 2016, Electric vehicle participation in transactive power systems using real-time retail prices, 49th Hawaii International Conference on System Sciences (HICSS), 2400, 10.1109/HICSS.2016.300
Gregoratti, 2015, Distributed energy trading: the multiple-microgrid case, IEEE Trans. Ind. Electron., 62, 2551, 10.1109/TIE.2014.2352592
Wang, 2016, Networked microgrids for self-healing power systems, IEEE Trans. Smart Grid, 7, 310, 10.1109/TSG.2015.2427513
Wu, 2015, Optimal pricing and energy scheduling for hybrid energy trading market in future smart grid, IEEE Trans. Ind. Inf., 11, 1585, 10.1109/TII.2015.2426052
Silva, 2014, The impact of smart grid prosumer grouping on forecasting accuracy and its benefits for local electricity market trading, IEEE Trans. Smart Grid, 5, 402, 10.1109/TSG.2013.2278868
Chiu, 2015, A multiobjective approach to multimicrogrid system design, IEEE Trans. Smart Grid, 6, 2263, 10.1109/TSG.2015.2399497
Marzband, 2015, An optimal energy management system for islanded microgrids based on multiperiod artificial bee colony combined with Markov chain, IEEE Syst. J., 100, 1
Marzband, 2014, Experimental validation of a real-time energy management system using multi-period gravitational search algorithm for microgrids in islanded mode, Appl. Energy, 128, 164, 10.1016/j.apenergy.2014.04.056
Marzband, 2017, A real-time evaluation of energy management systems for smart hybrid home microgrids, Electr. Power Syst. Res., 143, 624, 10.1016/j.epsr.2016.10.054
Marzband, 2015, Optimal energy management for stand-alone microgrids based on multi-period imperialist competition algorithm considering uncertainties: experimental validation, Int. Trans. Electr. Energy Syst., 30, 122
Ton, 2012, The US department of energy's microgrid initiative, Electr. J., 25, 84, 10.1016/j.tej.2012.09.013
Marzband, 2016, Distributed smart decision-making for a multimicrogrid system based on a hierarchical interactive architecture, IEEE Trans. Energy Convers., 31, 637, 10.1109/TEC.2015.2505358
Li, 2012, On voltage standards for dc home microgrids energized by distributed sources, Proceedings of the 7th International Power Electronics and Motion Control Conference, vol. 3, 2282
Marzband, 2013, Experimental validation of a real time energy management system for microgrids in islanded mode using a local day-ahead electricity market and MINLP, Energy Convers. Manag., 76, 314, 10.1016/j.enconman.2013.07.053
Marzband, 2016, Real time experimental implementation of optimum energy management system in standalone microgrid by using multi-layer ant colony optimization, Int. J. Electr. Power Energy Syst., 75, 265, 10.1016/j.ijepes.2015.09.010
Marzband, 2013, Experimental evaluation of a real time energy management system for stand-alone microgrids in day-ahead markets, Appl. Energy, 106, 365, 10.1016/j.apenergy.2013.02.018
Valinejad, 2017, Generation expansion planning in electricity market considering uncertainty in load demand and presence of strategic GENCOs, Electr. Power Syst. Res., 152, 92, 10.1016/j.epsr.2017.07.004
Peer-to-peer energy trading pioneers in Britain. Available from: https://www.engerati.com/article/peer-peer-energy-trading-pioneers-britain.
Marzband, 2016, Non-cooperative game theory based energy management systems for energy district in the retail market considering DER uncertainties, IET Gener. Transm. Distrib., 10, 2999, 10.1049/iet-gtd.2016.0024
Yu, 2011, Robust transmission network expansion planning method with Taguchi's orthogonal array testing, IEEE Trans. Power Syst., 26, 1573, 10.1109/TPWRS.2010.2082576
Krawczyk, 2007, Nira-3: An improved matlab package for finding nash equilibria in infinite games, Munich PErsonal RePEc Arch., 1573
Allen, 1999