Open Access
Issue
E3S Web Conf.
Volume 252, 2021
2021 International Conference on Power Grid System and Green Energy (PGSGE 2021)
Article Number 01020
Number of page(s) 7
Section Power Control Technology and Smart Grid Application
DOI https://doi.org/10.1051/e3sconf/202125201020
Published online 23 April 2021
  1. J. Keirstead, M. Jennings and A. Sivakumar, “A review of urban energy system models: Approaches, challenges and opportunities,” Renew. Sust. Energ. Rev., vol. 16, no. 6, pp. 3847–3866, 2012. [Google Scholar]
  2. D. H. W. Li, S. K. H. Chow, E. W. M. Lee, “An analysis of a medium size grid-connected building integrated photovoltaic (BIPV) system using measured data,” Energy Build., vol. 60, no. 5, pp. 383–387, 2013. [Google Scholar]
  3. X. Guan, Z. Xu and Q. Jia, “Energy-Efficient Buildings Facilitated by Microgrid,” IEEE Trans. Smart Grid, vol. 1, no. 3, pp. 243–252, 2010. [Google Scholar]
  4. D. Zhang, S. Evangelisti, P. Lettieri, et al, “Economic and environmental scheduling of smart homes with microgrid: DER operation and electrical tasks,” Energy Convers. Manage., vol. 110, no. Supp14, pp. 113–124, 2016. [Google Scholar]
  5. Y. Zhao, Y. Lu, C. Yan, et al, “MPC-Based Optimal Scheduling of Grid-Connected Low Energy Buildings with Thermal Energy Storages,” Energy Build., vol. 86, no. 12, pp. 415–426, 2014. [Google Scholar]
  6. JA. Duffie and WA. Beckman, “Solar engineering of thermal process,” New York: Wiley, 1991. [Google Scholar]
  7. X. Jin, Y. Mu, H. Jia, et al, “Dynamic economic dispatch of a hybrid energy microgrid considering building based virtual energy storage system,” Appl. Energy, vol. 194, no. 1, pp. 386–398, 2017. [Google Scholar]
  8. X. Jin, X. Wang, Y. Mu, et al, “Optimal scheduling approach for a combined cooling, heating and power building microgrid considering virtual storage system,” Power and Energy Society General Meeting, IEEE, pp. 1–5, 2016. [Google Scholar]
  9. Y. Mu, J. Wu, J. Ekanayake, et al, “Primary Frequency Response From Electric Vehicles in the Great Britain Power System,” IEEE Trans. Smart Grid, vol. 4, no. 2, pp. 1142–1150, 2013. [Google Scholar]
  10. EU Merge Project. Deliverable 2.1: “Modelling Electric Storage devices for electric vehicles, 2010,” [Online]. Available: http://www.ev-merge.eu/imagesstories/uploads/MERGE_WP2_D2.1.pdf. [Google Scholar]
  11. M. Wang, Y. Mu, H. Jia, et al, “Active power regulation for large-scale wind farms through an efficient power plant model of electric vehicles,” Appl. Energy, vol. 185, no. 1, pp. 1673–1683, 2017. [Google Scholar]
  12. X. Dong, Y. Mu, H. Jia, et al, “Planning of Fast EV Charging Stations on a Round Freeway,” IEEE Trans. Sustain. Energy, vol. 7, no. 4, pp. 1452–1461, 2016. [Google Scholar]
  13. Z. Wang, L. Wang, A. I. Dounis, et al, “Integration of plug-in hybrid electric vehicles into energy and comfort management for smart building,” Energy Build., vol. 47, no. 47, pp. 260–266, 2012. [Google Scholar]
  14. M. Ardeshir, M. Abdolazim, K. Elham, et al, “Occupants' operation of lighting and shading systems in buildings,” J. Build. Perform. Simu., vol. 1, no. 1, pp. 57–65, 2008. [Google Scholar]
  15. D. Zhang, N. Shah and L. G. Papageorgiou, “Efficient energy consumption and operation management in a smart building with microgrid,” Energy Convers. Manage., vol. 74, no. 74, pp. 209–222, 2013. [Google Scholar]
  16. Kaşka Önder and R. Yumrutaş, “Experimental investigation for total equivalent temperature difference (TETD) values of building walls and flat roofs,” Energy Convers. Manage., vol. 50, no. 11, pp. 2818–2825, 2009. [Google Scholar]
  17. J. Van Roy, N. Leemput, F. Geth, et al, “Electric Vehicle Charging in a building Microgrid with Distributed Energy Resources,” IEEE Trans. Sustain. Energy, vol. 5, no. 4, pp. 1–8, 2014. [Google Scholar]

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