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http://hdl.handle.net/10397/88758
Title: | A retroactive approach to microgrid real-time scheduling in quest of perfect dispatch solution | Authors: | Jia, YW Lyu, X Lai, CS Xu, Z Chen, MH |
Issue Date: | Nov-2019 | Source: | Journal of modern power systems and clean energy, Nov. 2019, , v. 7, no. 6, p. 1608-1618 | Abstract: | As an emerging paradigm in distributed power systems, microgrids provide promising solutions to local renewable energy generation and load demand satisfaction. However, the intermittency of renewables and temporal uncertainty in electrical load create great challenges to energy scheduling, especially for small-scale microgrids. Instead of deploying stochastic models to cope with such challenges, this paper presents a retroactive approach to real-time energy scheduling, which is prediction-independent and computationally efficient. Extensive case studies were conducted using 3-year-long real-life system data, and the results of simulations show that the cost difference between the proposed retroactive approach and perfect dispatch is less than 11% on average, which suggests better performance than model predictive control with the cost difference at 30% compared to the perfect dispatch. | Keywords: | Microgrid Renewables Real-time scheduling Perfect dispatch Grid integration |
Publisher: | Springer | Journal: | Journal of modern power systems and clean energy | ISSN: | 2196-5625 | EISSN: | 2196-5420 | DOI: | 10.1007/s40565-019-00574-2 | Rights: | Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The following publication JIA, Y., LYU, X., LAI, C.S. et al. A retroactive approach to microgrid real-time scheduling in quest of perfect dispatch solution. J. Mod. Power Syst. Clean Energy 7, 1608–1618 (2019) is available at https://dx.doi.org/10.1007/s40565-019-00574-2 |
Appears in Collections: | Journal/Magazine Article |
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