基于能量与信息耦合的分布式能源系统配置优化方法

李浩; 钟声远; 王永真; 赵军; 李敏霞; 朱介北

doi:10.13334/j.0258-8013.pcsee.200397

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基于能量与信息耦合的分布式能源系统配置优化方法

分布式信息能源系统 | 更新时间：2025-07-03

- 基于能量与信息耦合的分布式能源系统配置优化方法
- 暂无标题
- 中国电机工程学报 2020年第17期页码：5467-5476
- 作者机构：
  
  1. 中低温热能高效利用教育部重点实验室(天津大学)
  2. 清华大学电机系清华大学能源互联网创新研究院北京市
  3. 智能电网教育部重点实验室(天津大学)
- 作者简介：
- 基金信息：
  
  国家重点研发计划项目(2018YFA0702200)~~
- DOI：10.13334/j.0258-8013.pcsee.200397
  中图分类号： TM73
- 纸质出版：2020
- 稿件说明：
移动端阅览
李浩, 钟声远, 王永真, 等. 基于能量与信息耦合的分布式能源系统配置优化方法[J]. 中国电机工程学报, 2020,(17):5467-5476.
李浩, 钟声远, 王永真, 等. 基于能量与信息耦合的分布式能源系统配置优化方法[J]. 中国电机工程学报, 2020,(17):5467-5476. DOI： 10.13334/j.0258-8013.pcsee.200397.

DOI：

摘要

融合高比例可再生能源的分布式能源系统中

由可再生能源的波动性和负荷的随机性所引起的不确定性

限制了供需匹配性的提升。而通过充分利用信息

可以降低系统不确定性。该文提出基于熵的能量与信息的一致标度

利用熵理论同时对由能级降低造成的能量不可用性和由不确定性造成的能量不可用性进行量化。以数据中心分布式能源系统为案例

详述基于能量与信息耦合的系统配置优化方法。在考虑气象参数和数据中心计算负荷不确定性的情况下

相比于传统以初投资最低为优化目标的系统配置方案

该文提出的优化配置方案的未达到设计全年本址发电满足负荷占比(on-site energy fraction

OEF)的概率从54%降低到15%

说明该方法能够有效的降低分布式能源系统不确定性

提升供需匹配性。

Abstract

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.

关键词

Keywords

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