Two-Stage Robust Optimization for Large Logistics Parks to Participate in Grid Peak Shaving
文献类型：期刊论文
| 作者 | Zhou, Jiu1; Zhang, Jieni1; Qiu, Zhaoming1; Yu, Zhiwen1; Cui, Qiong2; Tong, Xiangrui2 |
| 刊名 | SYMMETRY-BASEL
 |
| 出版日期 | 2024-08-01 |
| 卷号 | 16期号:8页码:22 |
| 关键词 | peak shaving smart grid demand side response robust optimization |
| DOI | 10.3390/sym16080949 |
| 通讯作者 | Tong, Xiangrui(xiangruitong132@126.com) |
| 英文摘要 | As new energy integration increases, power grid load curves become steeper. Large logistics parks, with their substantial cooling load, show great peak shaving potential. Leveraging this load while maintaining staff comfort, product quality, and operational costs is a major challenge. This paper proposes a two-stage robust optimization method for large logistics parks to participate in grid peak shaving. First, a Cooling Load's Economic Contribution (CLEC) index is introduced, integrating the Predicted Mean Vote (PMV) and Sales Pressure Index (SPI). Then, an optimization model is established, accounting for renewable energy uncertainties and maximizing large logistics parks' participation in peak shaving. Results illustrate that the proposed method leads to a reduction in the peak shaving pressure on the distribution network. Specifically, under the scenario tolerating the maximum potential uncertainty in renewable energy output, the absolute peak-to-valley difference and fluctuation variance of the park's net load are decreased by 45.82% and 54.59%, respectively. Furthermore, the PMV and the SPI indexes are reduced by 39.12% and 26.36%, respectively. In comparison with the determined optimization method, despite a slight cost increase of 20.06%, the proposed method significantly reduces EDR load shedding by 98.1%. |
| WOS关键词 | ALGORITHM ; DESIGN ; ENERGY |
| 资助项目 | Technology Project of China Southern Power Grid ; [030100KC22120013] ; [GDKJXM20222718] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001307555000001 |
| 出版者 | MDPI |
| 资助机构 | Technology Project of China Southern Power Grid |
| 源URL | [http://ir.giec.ac.cn/handle/344007/42892]  |
| 专题 | 中国科学院广州能源研究所 |
| 通讯作者 | Tong, Xiangrui |
| 作者单位 | 1.Guangdong Power Grid Co Ltd, Customer Serv Ctr Guangzhou Power Supply Bur, Guangzhou 510620, Peoples R China 2.Chinese Acad Sci, Guangzhou Inst Energy Convers, Key Lab Renewable Energy, Guangzhou 510640, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Jiu,Zhang, Jieni,Qiu, Zhaoming,et al. Two-Stage Robust Optimization for Large Logistics Parks to Participate in Grid Peak Shaving[J]. SYMMETRY-BASEL,2024,16(8):22. |
| APA | Zhou, Jiu,Zhang, Jieni,Qiu, Zhaoming,Yu, Zhiwen,Cui, Qiong,&Tong, Xiangrui.(2024).Two-Stage Robust Optimization for Large Logistics Parks to Participate in Grid Peak Shaving.SYMMETRY-BASEL,16(8),22. |
| MLA | Zhou, Jiu,et al."Two-Stage Robust Optimization for Large Logistics Parks to Participate in Grid Peak Shaving".SYMMETRY-BASEL 16.8(2024):22. |
入库方式： OAI收割
来源：广州能源研究所
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