@inproceedings{1b0546f2c2f24221bf89ed959c3363b9,
title = "Self-balancing robust scheduling model for demand response considering electricity load uncertainty in enterprise microgrid",
abstract = "In enterprise microgrid such as steel plants, the self-generating output is not equal to the electricity load because of the electricity load uncertainty and the self-generation power plant's limits. In order to decrease the unbalance punishment cost caused by the non-equality, electricity self-balancing multi-levels model in which load uncertainty is described by a certain interval and the objective is to minimize the unbalance punishment cost and load shifting cost at the worst case is built based on the robust optimization in this paper. The multi-levels model is equivalently transformed to single level model using a set of constraints instead of the lower problem to improve the efficiency of solution. Finally, the paper tests an enterprise microgrid and the results show that proposed approach can decrease the total cost and the unbalance obviously.",
keywords = "demand response, load uncertainty, robust optimization, self-balancing",
author = "Kun Liu and Feng Gao and Zhaojie Wang and Xiaohong Guan and Qiaozhu Zhai and Jiang Wu",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Power and Energy Society General Meeting ; Conference date: 27-07-2014 Through 31-07-2014",
year = "2014",
month = oct,
day = "29",
doi = "10.1109/PESGM.2014.6938885",
language = "英语",
series = "IEEE Power and Energy Society General Meeting",
publisher = "IEEE Computer Society",
number = "October",
booktitle = "2014 IEEE PES General Meeting / Conference and Exposition",
edition = "October",
}
