Open Access
Issue |
E3S Web Conf.
Volume 252, 2021
2021 International Conference on Power Grid System and Green Energy (PGSGE 2021)
|
|
---|---|---|
Article Number | 03009 | |
Number of page(s) | 6 | |
Section | Energy Technology Research and Development and Green Energy-Saving Applications | |
DOI | https://doi.org/10.1051/e3sconf/202125203009 | |
Published online | 23 April 2021 |
- J. Wu, J. Yan, H. Jia, N. Hatziargyriou, N. Djilali, and H. Sun, “Integrated Energy Systems,” Applied Energy, vol. 167, pp. 155–157, (2016). [Google Scholar]
- B. P. Koirala, E. Koliou, J. Friege, R. A. Hakvoort, and P. M. Herder, “Energetic communities for community energy: A review of key issues and trends shaping integrated community energy systems,” Renewable and Sustainable Energy Reviews, vol. 56, pp. 722–744, (2016). [Google Scholar]
- P.-H. Li and S. Pye, “Assessing the benefits of demand-side flexibility in residential and transport sectors from an integrated energy systems perspective,” Applied Energy, vol. 228, pp. 965–979, (2018). [Google Scholar]
- H. Alharbi and K. Bhattacharya, “Stochastic Optimal Planning of Battery Energy Storage Systems for Isolated Microgrids,” IEEE Transactions on Sustainable Energy, vol. 9, no. 1, pp. 211–227, (2018). [Google Scholar]
- W. Kim, J. Shin, and J. Kim, “Operation Strategy of Multi-Energy Storage System for Ancillary Services,” IEEE Transactions on Power Systems, vol. 32, no. 6, pp. 4409–4417, (2017). [Google Scholar]
- S. Bahramirad, W. Reder, and A. Khodaei, “Reliability-Constrained Optimal Sizing of Energy Storage System in a Microgrid,” IEEE Transactions on Smart Grid, vol. 3, no. 4, pp. 2056–2062, (2012). [Google Scholar]
- K. Baker, G. Hug, and X. Li, “Energy Storage Sizing Taking Into Account Forecast Uncertainties and Receding Horizon Operation,” IEEE Transactions on Sustainable Energy, vol. 8, no. 1, pp. 331–340, (2017). [Google Scholar]
- C. Chen, H. Sun, X. Shen, Y. Guo, Q. Guo, and T. Xia, “Two-stage robust planning-operation co-optimization of energy hub considering precise energy storage economic model,” Applied Energy, vol. 252, p. 113372, (2019). [Google Scholar]
- B. Shen, G. Ghatikar, Z. Lei, J. Li, G. Wikler, and P. Martin, “The role of regulatory reforms, market changes, and technology development to make demand response a viable resource in meeting energy challenges,” Applied Energy, vol. 130, pp. 814–823, (2014). [Google Scholar]
- C. Bartusch and K. Alvehag, “Further exploring the potential of residential demand response programs in electricity distribution,” Applied Energy, vol. 125, pp. 39–59, (2014). [Google Scholar]
- S. Bahrami and A. Sheikhi, “From Demand Response in Smart Grid Toward Integrated Demand Response in Smart Energy Hub,” IEEE Transactions on Smart Grid, vol. 7, no. 2, pp. 650–658, (2016). [Google Scholar]
- L. Huang, J. Walrand, and K. Ramchandran, “Optimal demand response with energy storage management,” in 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm), (2012), pp. 61–66. [Google Scholar]
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