Efficient energy consumption and operation management in a smart building with microgrid
Tài liệu tham khảo
Clastres, 2011, Smart grids: another step towards competition, energy security and climate change objectives, Energy Policy, 39, 5399, 10.1016/j.enpol.2011.05.024
Mitra J, Suryanarayanan S. System analytics for smart microgrids. In: IEEE PES general meeting. IEEE; 2010. p. 1–4.
Ustun, 2011, Recent developments in microgrids and example cases around the world—a review, Renew Sustain Energy Rev, 15, 4030, 10.1016/j.rser.2011.07.033
Marnay, 2008, Optimal technology selection and operation of commercial-building microgrids, IEEE Trans Power Syst, 23, 975, 10.1109/TPWRS.2008.922654
Asano H, Bando S, Watanabe H. Methodology to design the capacity of a microgrid. In: 2007 IEEE international conference on system of systems engineering. IEEE; 2007. p. 1–6.
King, 2007, Customer-focused assessment of electric power microgrids, J. Energy Eng., 133, 150, 10.1061/(ASCE)0733-9402(2007)133:3(150)
Obara, 2007, Equipment arrangement planning of a fuel cell energy network optimized for cost minimization, Renew Energy, 32, 382, 10.1016/j.renene.2006.02.012
Bagherian A, Tafreshi SMM. A developed energy management system for a microgrid in the competitive electricity market. In: 2009 IEEE Bucharest PowerTech. IEEE, Bucharest; 2009. p. 1–6.
Mohamed, 2010, System modelling and online optimal management of microgrid using mesh adaptive direct search, Int J Electr Power Energy Syst, 32, 398, 10.1016/j.ijepes.2009.11.003
Morais, 2010, Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming, Renew Energy, 35, 151, 10.1016/j.renene.2009.02.031
Silva, 2012, An integrated approach for distributed energy resource short-term scheduling in smart grids considering realistic power system simulation, Energy Convers Manage, 64, 273, 10.1016/j.enconman.2012.04.021
Hawkes, 2009, Modelling high level system design and unit commitment for a microgrid, Appl Energy, 86, 1253, 10.1016/j.apenergy.2008.09.006
Lior, 2010, Sustainable energy development: the present (2009) situation and possible paths to the future, Energy, 35, 3976, 10.1016/j.energy.2010.03.034
Escrivá-Escrivá, 2011, Basic actions to improve energy efficiency in commercial buildings in operation, Energy Build, 43, 3106, 10.1016/j.enbuild.2011.08.006
Yohanis, 2008, Real-life energy use in the UK: how occupancy and dwelling characteristics affect domestic electricity use, Energy Build, 40, 1053, 10.1016/j.enbuild.2007.09.001
Hu W, Chen Z, Bak-Jensen B. Optimal operation strategy of battery energy storage system to real-time electricity price in Denmark. In: IEEE PES general meeting. IEEE; 2010. p. 1–7.
Pedrasa, 2010, Coordinated scheduling of residential distributed energy resources to optimize smart home energy services, IEEE Trans Smart Grid, 1, 134, 10.1109/TSG.2010.2053053
Wissner, 2011, The smart grid – a saucerful of secrets?, Appl Energy, 88, 2509, 10.1016/j.apenergy.2011.01.042
Lugo-Cordero HM, Fuentes-Rivera A, Guha RK, Ortiz-Rivera EI. Particle swarm optimization for load balancing in green smart homes. In: 2011 IEEE congress of evolutionary computation. IEEE; 2011. p. 715–20.
Zoka, 2007, An economic evaluation for an autonomous independent network of distributed energy resources, Electr Power Syst Res, 77, 831, 10.1016/j.epsr.2006.07.006
Logenthiran, 2011, Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system, Electr Power Syst Res, 81, 138, 10.1016/j.epsr.2010.07.019
Dagdougui, 2012, Modeling and optimization of a hybrid system for the energy supply of a “Green” building, Energy Convers Manage, 64, 351, 10.1016/j.enconman.2012.05.017
Rojchaya S, Konghirun M. Development of energy management and warning system for resident: an energy saving solution. In: 2009 6th International conference on electrical engineering/electronics, computer, telecommunications and information technology. IEEE; 2009. p. 426–9.
Naraharisetti, 2011, A linear diversity constraint – application to scheduling in microgrids, Energy, 36, 4235, 10.1016/j.energy.2011.04.020
Chen C-Y, Tsoul Y-P, Liao S-C, Lin C-T. Implementing the design of smart home and achieving energy conservation. In: 2009 7th IEEE international conference on industrial informatics. IEEE; 2009. p. 273–6.
Mohamed, 2012, Online management genetic algorithms of microgrid for residential application, Energy Convers Manage, 64, 562, 10.1016/j.enconman.2012.06.010
Mouret, 2011, Time representations and mathematical models for process scheduling problems, Comput Chem Eng, 35, 1038, 10.1016/j.compchemeng.2010.07.007
Shaik, 2009, Production scheduling of a large-scale industrial continuous plant: short-term and medium-term scheduling, Comput Chem Eng, 33, 670, 10.1016/j.compchemeng.2008.08.013
Maravelias, 2009, Integration of production planning and scheduling: overview, challenges and opportunities, Comput Chem Eng, 33, 1919, 10.1016/j.compchemeng.2009.06.007
Sun, 2012, Optimization of power scheduling for energy management in smart homes, Proc Eng, 38, 1822, 10.1016/j.proeng.2012.06.225
Sou KC, Weimer J, Sandberg H, Johansson KH. Scheduling smart home appliances using mixed integer linear programming. In: IEEE conference on decision and control and European control conference. IEEE; 2011. p. 5144–9.
Nistor S, Wu J, Sooriyabandara M, Ekanayake J. Cost optimization of smart appliances. In: 2011 2nd IEEE PES international conference and exhibition on innovative smart grid technologies. IEEE; 2011. p. 1–5.
Costanzo GT, Kheir J, Zhu G. Peak-load shaving in smart homes via online scheduling. In: 2011 IEEE international symposium on industrial electronics. IEEE; 2011. p. 1347–52.
Castillo-Cagigal, 2011, A semi-distributed electric demand-side management system with PV generation for self-consumption enhancement, Energy Convers Manage, 52, 2659, 10.1016/j.enconman.2011.01.017
Kriett, 2012, Optimal control of a residential microgrid, Energy, 42, 321, 10.1016/j.energy.2012.03.049
Chen, 2012, Real-time price-based demand response management for residential appliances via stochastic optimization and robust optimization, IEEE Trans Smart Grid, 1
Rastegar, 2012, Load commitment in a smart home, Appl Energy, 96, 45, 10.1016/j.apenergy.2012.01.056
Derin O, Ferrante A. Scheduling energy consumption with local renewable micro-generation and dynamic electricity prices. In: Proceedings of the first workshop on green and smart embedded system technology: infrastructures, methods and tools, Stockholm, Sweden, Stockholm; 2010. p. 1–6.
Villanueva, 2010, Wind power distributions: a review of their applications, Renew Sustain Energy Rev, 14, 1490, 10.1016/j.rser.2010.01.005
Electricity Prices|OEB; 2012. <http://www.ontarioenergyboard.ca/OEB/Consumers/Electricity/Electricity+Prices#rpp> [cited 01.09.12].
Balancing Mechnism Reporting System. The new electricity trading arrangements 2010; 2012. <http://www.bmreports.com/bsp/SystemPricesHistoric.htm> [cited 01.09.12].
Energy, 2004
Domestic Electrical Energy Usage. Electropaedia 2010; 2012. <http://www.mpoweruk.com/electricity_demand.htm> [cited 01.09.12].
Paatero, 2006, A model for generating household electricity load profiles, Int J Energy Res, 30, 273, 10.1002/er.1136