利用海上风电场和云数据中心实现电力系统的弹性运行

IF 6.9 2区 工程技术 Q2 ENERGY & FUELS CSEE Journal of Power and Energy Systems Pub Date : 2023-11-17 DOI:10.17775/CSEEJPES.2022.01470
Shengwei Liu;Yuanzheng Li;Xuan Liu;Tianyang Zhao;Peng Wang
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引用次数: 0

摘要

为了提高海上风电场(OWFs)电力系统的恢复能力,本文提出了一种主动调度方案,以释放云数据中心(CDCs)的灵活性,应对飓风引发的不确定的空间和时间影响。采用全寿命仿真(TLS)预测输电线路和海上风电场在飓风之前、期间和之后的当地天气状况。利用风力涡轮机 (WT) 的静态功率曲线来捕捉 OWF 的输出,并利用输电线路组件的脆性分析来计算输电线路的时变故障率。利用离散支撑集构建了一个新颖的分布稳健模糊集,飓风的影响由这些支撑集来描述。为了最大限度地减少甩负荷和减少工作负荷,在弹性管理中纳入了 CDC 根据任务迁移和延迟容忍度做出的空间和时间需求响应能力。疾病控制中心功耗的灵活性被整合到一个具有条件风险值(CVaR)的两阶段分布式鲁棒优化问题中。基于拉格朗日对偶性,该问题被重新表述为其确定性对应问题,并通过一种带有混合切割的新型分解方法进行求解,从而减少了迭代次数,提高了收敛速度。通过对修改后的 IEEE-RTS 24 系统(包括 4 个数据中心和 5 个海上风电场)进行案例研究,验证了所提出的弹性管理策略的有效性。
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Resilient Power Systems Operation with Offshore Wind Farms and Cloud Data Centers
To enhance the resilience of power systems with offshore wind farms (OWFs), a proactive scheduling scheme is proposed to unlock the flexibility of cloud data centers (CDCs) responding to uncertain spatial and temporal impacts induced by hurricanes. The total life simulation (TLS) is adopted to project the local weather conditions at transmission lines and OWFs, before, during, and after the hurricane. The static power curve of wind turbines (WTs) is used to capture the output of OWFs, and the fragility analysis of transmission-line components is used to formulate the time-varying failure rates of transmission lines. A novel distributionally robust ambiguity set is constructed with a discrete support set, where the impacts of hurricanes are depicted by these supports. To minimize load sheddings and dropping workloads, the spatial and temporal demand response capabilities of CDCs according to task migration and delay tolerance are incorporated into resilient management. The flexibilities of CDC's power consumption are integrated into a two-stage distributionally robust optimization problem with conditional value at risk (CVaR). Based on Lagrange duality, this problem is reformulated into its deterministic counterpart and solved by a novel decomposition method with hybrid cuts, admitting fewer iterations and a faster convergence rate. The effectiveness of the proposed resilient management strategy is verified through case studies conducted on the modified IEEE-RTS 24 system, which includes 4 data centers and 5 offshore wind farms.
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来源期刊
CiteScore
11.80
自引率
12.70%
发文量
389
审稿时长
26 weeks
期刊介绍: The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.
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