Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics' uncertainty and stochastic electric vehicles' driving schedule
Thomas, Dimitrios ; Université de Mons > Faculté Polytechnique > Génie Electrique
Deblecker, Olivier ; Université de Mons > Faculté Polytechnique > Génie Electrique
Ioakeimidis, Christos ; Université de Mons > Faculté Polytechnique > Thermodynamique, Physique mathématiques
Language :
English
Title :
Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics' uncertainty and stochastic electric vehicles' driving schedule
Hatziargyriou N. Microgrid: Architectures and Control. Wiley; 2013.
Rajakaruna, S., Shahnia, F., Ghosh, A., Plug in electric vehicles in smart grids: energy management. 2015, Springer, Singapore, New York.
Thomas, D., Deblecker, O., Ioakimidis, C.S., Optimal design and techno-economic analysis of an autonomous small isolated microgrid aiming at high RES penetration. Energy 116 (2016), 364–379.
Kolokotsa, D., Rovas, D., Kosmatopoulos, E., Kalaitzakis, K., A roadmap towards intelligent net zero- and positive-energy buildings. Sol Energy 85:12 (2011), 3067–3084.
Thomas D, Deblecker O, Bagheri A, Ioakimidis CS. A scheduling optimization model for minimizing the energy demand of a building using electric vehicles and a micro-turbine. In 2016 IEEE International Smart Cities Conference (ISC2). IEEE; 2016. p. 1–6.
Costanzo, G.T., Zhu, G., Anjos, M.F., Savard, G., A system architecture for autonomous demand side load management in smart buildings. IEEE Trans Smart Grid 3:4 (2012), 2157–2165.
Zhou, B., et al. Smart home energy management systems: concept, configurations, and scheduling strategies. Renew Sustain Energy Rev 61 (2016), 30–40.
Rajakaruna, S., Shahnia, F., Ghosh, A., Plug in electric vehicles in smart grids: charging strategies. 2015, Springer, Heidelberg.
Nussbaum A, Shankleman J. Electric Cars to Rival Tesla's Powerwall in Nissan Deal. Available: < https://www.bloomberg.com/news/articles/2016-05-11/nissan-enel-deal-turns-e-cars-into-4-wheel-rival-to-powerwall>.
de Angelis, F., et al. Optimal home energy management under dynamic electrical and thermal constraints. IEEE Trans Ind Inf 9:3 (2013), 1518–1527.
Mohsenian-Rad, A.-H., Leon-Garcia, A., Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Trans Smart Grid 1:2 (2010), 120–133.
Özkan, H.A., A new real time home power management system. Energy Build 97 (2015), 56–64.
Matallanas, E., et al. Neural network controller for active demand-side management with PV energy in the residential sector. Appl Energy 91:1 (2012), 90–97.
Xue, X., Wang, S., Sun, Y., Xiao, F., An interactive building power demand management strategy for facilitating smart grid optimization. Appl Energy 116 (2014), 297–310.
Di Giorgio, A., Pimpinella, L., An event driven smart home controller enabling consumer economic saving and automated demand side management. Appl Energy 96 (2012), 92–103.
Parra, D., Walker, G.S., Gillott, M., Are batteries the optimum PV-coupled energy storage for dwellings?: Techno-economic comparison with hot water tanks in the UK. Energy Build 116 (2016), 614–621.
Sichilalu, S., Mathaba, T., Xia, X., Optimal control of a wind?: PV-hybrid powered heat pump water heater. Appl Energy 185 (2017), 1173–1184.
Wanjiru, E.M., Sichilalu, S.M., Xia, X., Optimal control of heat pump water heater-instantaneous shower using integrated renewable-grid energy systems. Appl Energy 201 (2017), 332–342.
Iwafune, Y., Kanamori, J., Sakakibara, H., A comparison of the effects of energy management using heat pump water heaters and batteries in photovoltaic -installed houses. Energy Convers Manage 148 (2017), 146–160.
Chen, Z., Wu, L., Fu, Y., Real-time price-based demand response management for residential appliances via stochastic optimization and robust optimization. IEEE Trans Smart Grid 3:4 (2012), 1822–1831.
Dagdougui, H., Minciardi, R., Ouammi, A., Robba, M., Sacile, R., Modeling and optimization of a hybrid system for the energy supply of a “Green” building. Energy Convers Manage 64 (2012), 351–363.
Erdinc, O., Paterakis, N.G., Pappi, I.N., Bakirtzis, A.G., Catalão, J.P., A new perspective for sizing of distributed generation and energy storage for smart households under demand response. Appl Energy 143 (2015), 26–37.
Missaoui, R., Joumaa, H., Ploix, S., Bacha, S., Managing energy smart homes according to energy prices: analysis of a building energy management system. Energy Build 71 (2014), 155–167.
Lu, Y., Wang, S., Sun, Y., Yan, C., Optimal scheduling of buildings with energy generation and thermal energy storage under dynamic electricity pricing using mixed-integer nonlinear programming. Appl Energy 147 (2015), 49–58.
Tsui, K.M., Chan, S.C., Demand response optimization for smart home scheduling under real-time pricing. IEEE Trans Smart Grid 3:4 (2012), 1812–1821.
Shariatzadeh, F., Mandal, P., Srivastava, A.K., Demand response for sustainable energy systems: a review, application and implementation strategy. Renew Sustain Energy Rev 45 (2015), 343–350.
Jian, L., Zheng, Y., Xiao, X., Chan, C.C., Optimal scheduling for vehicle-to-grid operation with stochastic connection of plug-in electric vehicles to smart grid. Appl Energy 146 (2015), 150–161.
Honarmand, M., Zakariazadeh, A., Jadid, S., Integrated scheduling of renewable generation and electric vehicles parking lot in a smart microgrid. Energy Convers Manage 86 (2014), 745–755.
Bustos, C., Watts, D., Novel methodology for microgrids in isolated communities: Electricity cost-coverage trade-off with 3-stage technology mix, dispatch & configuration optimizations. Appl Energy 195 (2017), 204–221.
Mortaz, E., Valenzuela, J., Microgrid energy scheduling using storage from electric vehicles. Electr Power Syst Res 143 (2017), 554–562.
Zhang, M., Chen, J., The energy management and optimized operation of electric vehicles based on microgrid. IEEE Trans Power Del 29:3 (2014), 1427–1435.
van Roy, J., et al. Electric vehicle charging in an office building microgrid with distributed energy resources. IEEE Trans Sustain Energy 5:4 (2014), 1389–1396.
Wang, D., et al. Integrated energy exchange scheduling for multimicrogrid system with electric vehicles. IEEE Trans Smart Grid 7:4 (2016), 1762–1774.
van der Kam, M., van Sark, W., Smart charging of electric vehicles with photovoltaic power and vehicle-to-grid technology in a microgrid; a case study. Appl Energy 152 (2015), 20–30.
Coelho, V.N., et al. Multi-objective energy storage power dispatching using plug-in vehicles in a smart-microgrid. Renew Energy 89 (2016), 730–742.
Guo, Y., Xiong, J., Xu, S., Su, W., Two-stage economic operation of microgrid-like electric vehicle parking deck. IEEE Trans Smart Grid 7:3 (2016), 1703–1712.
Kou, P., Liang, D., Gao, L., Gao, F., Stochastic coordination of plug-in electric vehicles and wind turbines in microgrid: a model predictive control approach. IEEE Trans Smart Grid 7:3 (2016), 1537–1551.
Rabiee, A., Sadeghi, M., Aghaeic, J., Heidari, A., Optimal operation of microgrids through simultaneous scheduling of electrical vehicles and responsive loads considering wind and PV units uncertainties. Renew Sustain Energy Rev 57 (2016), 721–739.
Zhao, J., Kucuksari, S., Mazhari, E., Son, Y.-J., Integrated analysis of high-penetration PV and PHEV with energy storage and demand response. Appl Energy 112 (2013), 35–51.
Jain, A.K., Data clustering: 50 years beyond K-means. Pattern Recogn. Lett. 31:8 (2010), 651–666.
Richardson, P., Flynn, D., Keane, A., optimal charging of electric vehicles in low-voltage distribution systems. IEEE Trans Power Syst 27:1 (2012), 268–279.
Pillai JR, Bak-Jensen B. Integration of vehicle-to-grid in the western danish power system. IEEE Trans Sustain Energy; 2010.
Thomas D, Ioakimidis CS, Klonari V, Vallee F, Deblecker O. Effect of electric vehicles' optimal charging-discharging schedule on a building's electricity cost demand considering low voltage network constraints. In: 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). IEEE; 2016. p. 1–6.
General Algebraic Modeling System (GAMS), Documentation and solvers description. Available: < https://www.gams.com/latest/docs/solvers/index.html>.
Wei, S.-X., Ming, L., Zhou, X.-Z., A theoretical study on area compensation for non-directly-south-facing solar collectors. Appl Therm Eng 27:2–3 (2007), 442–449.
AMEREN Power company, Day ahead electricity price data. Available: < https://www2.ameren.com/RetailEnergy/rtpDownload>.
Ioakimidis, C.S., Oliveira, L.J., Genikomsakis, K.N., Dallas, P.I., Design, architecture and implementation of a residential energy box management tool in a SmartGrid. Energy 75 (2014), 167–181.
Directorare-General for Intrnal Policies, Solar energy policy in the EU and the Member States, from the perspective of the petitions received. Available: < http://www.europarl.europa.eu/RegData/etudes/STUD/2016/556968/IPOL_STU(2016)556968_EN.pdf>.
Hu, Q., Li, F., hardware design of smart home energy management system with dynamic price response. IEEE Trans Smart Grid 4:4 (2013), 1878–1887.
