综合智慧能源 ›› 2022, Vol. 44 ›› Issue (11): 70-78.doi: 10.3969/j.issn.2097-0706.2022.11.010

• 综合能源系统优化运行与控制 • 上一篇    下一篇

考虑风电不确定性的数据中心平抑风电功率波动的调度方法

赵建立1,2(), 向佳霓1,2(), 王隗东3(), 陈珂3(), 陈进举正4(), 吴英俊4()   

  1. 1.国网上海市电力公司,上海 200030
    2.上海市智能电网需求响应重点实验室,上海 200030
    3.需求侧多能互补优化与供需互动技术北京市重点实验室(中国电力科学研究院有限公司),北京 100192
    4.河海大学 能源与电气学院,南京 211100
  • 收稿日期:2022-06-07 修回日期:2022-09-20 出版日期:2022-11-25 发布日期:2022-12-21
  • 作者简介:赵建立(1983),男,高级工程师,硕士,从事智能电网用电新技术和需求侧管理方面的研究,59696374@qq.com
    向佳霓(1996),女,硕士,助理工程师,从事需求侧管理和大数据分析方面的研究,carame10726@hotmail.com
    王隗东(1992),男,助理工程师,从事需求侧管理和需求响应方面的研究,17610229291@163.com
    陈珂(1994),男,工程师,从事需求侧管理和需求响应方面的研究,824417278@qq.com
    陈进举正(1998),男,在读硕士研究生,从事电力分布式交易和需求响应方面的研究,jinjuzheng_chen@163.com
    吴英俊(1985),男,副教授,博士,从事综合能源系统优化和电力分布式交易等方面的研究,ywu_ee@vip.163.com
  • 基金资助:
    国网上海市电力公司科技项目(52090D200013)

A scheduling method for suppressing wind power fluctuation of data centers considering wind power uncertainty

ZHAO Jianli1,2(), XIANG Jiani1,2(), WANG Weidong3(), CHEN Ke3(), CHEN Jinjuzheng4(), WU Yingjun4()   

  1. 1. State Grid Shanghai Electric Power Company,Shanghai 200030,China
    2. Shanghai Key Laboratory of Smart Grid Demand Response,Shanghai 200030,China
    3. Beijing Key Laboratory of Demand Side Multi-Energy Carriers Optimization and Interaction Technique(China Electric Power Research Institute),Beijing 100192,China
    4. College of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China
  • Received:2022-06-07 Revised:2022-09-20 Online:2022-11-25 Published:2022-12-21

摘要:

“双碳”目标下构建以新能源为主体的新型电力系统,致使风光等波动性电源大量并网。针对风电并网时功率波动过大而威胁电力系统安全稳定的问题,在考虑风电预测不确定性的前提下,提出一种基于数据中心可延时计算任务的风电功率波动平抑模型。模型分为2个阶段,第1阶段根据某一预测的风电出力,在达到平抑目的的前提下使数据中心负荷曲线尽量平滑。第2阶段则是使调度方案在最恶劣的风电情景下仍能满足平抑要求。算例结果表明,提出的模型能对最恶劣的风电出力场景进行平抑,与不考虑不确定性的平抑方法相比,具有更高的可靠性。

关键词: 风力发电, 风电波动平抑, 数据中心能耗, 风电不确定性, 鲁棒优化, 碳中和, 新型电力系统

Abstract:

The security and stability of a power system can be compromised by the output fluctuation brought by wind power grid-connection. Thus, considering the uncertainty of wind power prediction,a wind power output fluctuation suppression model is proposed based on a data center's delay calculation. The model is divided into two stages. In the first stage,based on the predicted wind power output,the data center load curve need to be smoothed in the premise of fluctuation suppression.In the second stage,the scheduling scheme is adjusted to meet the wind power output suppression requirements under the worst scenario. The simulation results on the practical case show that the proposed model can suppress the wind power output under the worst scenario. The suppression method that takes wind power uncertainty into consideration is more reliable than that does not.

Key words: wind power generation, fluctuation suppression, data center energy consumption, wind power uncertainty, robust optimization, carbon neutrality, new power system

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