引用本文: | 桑丙玉,王德顺,杨 波,裴 亮,孙伟卿.基于经济性的互联网数据中心光-储协同优化配置[J].电力系统保护与控制,2020,48(17):131-138.[点击复制] |
SANG Bingyu,WANG Deshun,YANG Bo,PEI Liang,SUN Weiqing.Collaborative optimization configuration of photovoltaic-energy storage based on economy in an internet data center[J].Power System Protection and Control,2020,48(17):131-138[点击复制] |
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摘要: |
互联网数据中心体量大、能耗高,近年来逐渐成为节能降耗的重点领域。基于对数据中心用电需求特征和电网电价机制的分析,提出一种基于经济性的互联网数据中心光伏和储能电池协同优化配置模型。通过该模型求得光伏和储能电池的最优配置方案,以降低数据中心的运行成本。该方案使得数据中心对当地电网电力具有较低的依赖性,充分利用了光伏供应的电力。仿真实例表明,在数据中心结构、负荷和运行环境相同的情况下,该方案可以有效降低数据中心的运行成本,具有较高的实用化价值。 |
关键词: 互联网数据中心 储能 光伏 最优配置 |
DOI:DOI: 10.19783/j.cnki.pspc.191308 |
投稿时间:2019-10-23修订日期:2020-01-30 |
基金项目:国家电网公司科技项目资助(NY71-16-045);江苏省储能变流及应用工程技术研究中心实验室(中国电力科学研究院有限公司)开放基金项目资助(NYN51201801326);国家自然科学基金项目资助(51777126) |
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Collaborative optimization configuration of photovoltaic-energy storage based on economy in an internet data center |
SANG Bingyu,WANG Deshun,YANG Bo,PEI Liang,SUN Weiqing |
(1. China Electric Power Research Institute Co., Ltd. (Nanjing), Nanjing 210003, China; 2. Jiangsu Engineering Technology Research Center for Energy Storage Conversion and Application, Nanjing 210003, China; 3. Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China) |
Abstract: |
In recent years, the large internet data center with high energy consumption has gradually become the key area of energy saving. Based on the analysis of electricity demand characteristics and the electricity price mechanism in a data center, a collaborative optimal configuration model of photovoltaic and energy storage battery based on economic dispatch is proposed. Through this model, the optimal configuration scheme of photovoltaic and energy storage battery is obtained to reduce the operational cost of a data center. The scheme ensures that the data center is less dependent on the local power grid and makes full use of the photovoltaic power supply. A simulation example reveals that, in the same data center structure, load and operating environment, the scheme has effectively reduced the operating cost of the system and has high practical value.
This work is supported by Science and Technology Project of State Grid Corporation of China (No. NY71-16-045) and Open Fund of Jiangsu Engineering Technology Research Center for Energy Storage Conversion and Application (China Electric Power Research Institute Co., Ltd.) (No. NYN51201801326) and National Natural Science Foundation of China (No. 51777126). |
Key words: internet data center energy storage photovoltaic optimal configuration |