Resilience-Enhanced Scheduling of Power System with Cloud Computing Data Centers Under Uncertainty

Tianyang ZHAO; Huajun ZHANG; Yan XU; Peng WANG

doi:10.7500/AEPS20200509008

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Resilience-Enhanced Scheduling of Power System with Cloud Computing Data Centers Under Uncertainty

Assessment and Enhancement of Cyber-Physical Resilience of Smart Grids | 更新时间：2025-06-16

- Resilience-Enhanced Scheduling of Power System with Cloud Computing Data Centers Under Uncertainty
- Automation of Electric Power Systems Vol. 45, Issue 3, Pages: 49-57(2021)
- 作者机构：
  
  1.南洋理工大学能源研究院，新加坡 639798
  2.南洋理工大学电气与电子工程学院，新加坡 639798
- 作者简介：
- 基金信息：
- DOI：10.7500/AEPS20200509008
  CLC：
- Received：09 May 2020，
  
  Revised：2020-07-20，
  
  Published Online：07 September 2020，
  
  Published：10 February 2021
- 稿件说明：
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赵天阳,张华君,徐岩等.不确定环境下含云计算数据中心的电网韧性增强调度[J].电力系统自动化,2021,45(3):49-57.

ZHAO Tianyang,ZHANG Huajun,XU Yan,et al.Resilience-Enhanced Scheduling of Power System with Cloud Computing Data Centers Under Uncertainty[J].Automation of Electric Power Systems,2021,45(3):49-57.
赵天阳,张华君,徐岩等.不确定环境下含云计算数据中心的电网韧性增强调度[J].电力系统自动化,2021,45(3):49-57. DOI： 10.7500/AEPS20200509008.

ZHAO Tianyang,ZHANG Huajun,XU Yan,et al.Resilience-Enhanced Scheduling of Power System with Cloud Computing Data Centers Under Uncertainty[J].Automation of Electric Power Systems,2021,45(3):49-57. DOI： 10.7500/AEPS20200509008.

摘要

为解决飓风来临前路径不确定时输电线路随机故障等带来的难题，提出了适用于含云计算数据中心的电网韧性增强日前调度策略，并将其构建为两阶段风险规避的分布鲁棒优化问题。以飓风对输电线路的时空影响为出发点，采用蒙特卡洛模拟获得飓风路径不确定时线路的离散故障集合，并构建基于L1距离度量的分布鲁棒模糊集合。然后，在日前调度中，对机组和数据中心进行优化以平衡经济性和电网韧性，并采用追索问题量化其对日间调度的影响，形成两阶段优化问题。随后，对优化问题进行确定性转换与解耦求解。最后，以含4个数据中心的IEEE-RTS系统为测试算例，验证了所提韧性增强策略应对模糊不确定性的有效性。

Abstract

To manage the possible transmission line failures under uncertain hurricane tracks before its advent

a day-ahead resilience-enhanced scheduling scheme is proposed for power systems with cloud computing data centers. The scheme is formulated as a two-stage risk aversion distributionally robust optimization problem. Considering the spatial and temporal impacts of hurricanes on transmission lines

a discrete line failure set is generated by the Monte-Carlo simulation scheme

in which the hurricane path uncertainty is considered. This set is further formulated as a distributionally robust ambiguity set using L1 norm distance. In the day-ahead scheduling

the generators and data centers are scheduled to balance the operational efficiency and resilience

considering the impacts of day-ahead scheduling on intra-day scheduling

which is formulated as a recourse problem

and resulting in a two-stage optimization problem. It is reformulated to its robust counterpart and solved by decomposition algorithms. Finally

simulations are conducted on a modified IEEE reliability test system with 4 data centers

and the results verify the effectiveness of the proposed resilience-enhanced strategy in addressing the ambiguity uncertainty.

关键词

Keywords

references

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