Optimization Method on the Distributed Energy System Based on Energy and Information Coupled

被引：0
|
作者：
Li H. [1 ]
Zhong S. [1 ]
Wang Y. [2 ]
Zhao J. [1 ]
Li M. [1 ]
Zhu J. [3 ]
机构：
[1] Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, Tianjin University, Ministry of Education of China, Nankai District, Tianjin
[2] Department of Electrical Engineering, Energy Internet Research Institute, Tsinghua University, Haidian District, Beijing
[3] Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Nankai Distirct, Tianjin
来源：
Zhao, Jun (zhaojun@tju.edu.cn) | 1600年 / Chinese Society for Electrical Engineering卷 / 40期
关键词：
Data center; Distributed energy system; Information entropy; Thermodynamic entropy; Uncertainty;
D O I：
10.13334/j.0258-8013.pcsee.200397
中图分类号：
学科分类号：
摘要：
In the distributed energy system (DES) that incorporates a high proportion of renewable energy, the uncertainties caused by the volatility of renewable energy and randomness of demand limit the improvement of the supply-and-demand matching. The information can be used as a means to eliminate uncertainty. In this paper, a unified scale of energy and information based on entropy was proposed, and the entropy theory was used to quantify both the energy unavailability caused by the energy grade decrease and the energy unavailability caused by the uncertainty, so as to describe the mechanism of information on the energy process quantitatively. Then, a case study was conducted using a data center DES to demonstrate the success of the proposed configuration optimization method based on the energy and information coupled. Under the consideration of the uncertainties of the meteorological parameters and the computational load in data center, the probability of the failing to meet the design yearly on-site energy fraction (OEF) is 15% at the optimization configuration, while it reaches to 54% under the configuration with minimum initial investment as the objective. In conclusion, the uncertainties could be effectively reduced by applied the configuration optimization method proposed in this paper, so as to improve the supply and demand matching of the DES. © 2020 Chin. Soc. for Elec. Eng.
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页码：5467 / 5475
页数：8
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