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arXiv 2607.04545eess.SYcs.SY
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作为缓解大负荷拥堵的输电资产的储能(SATA)

Storage as a Transmission Asset (SATA) for Large-Load Congestion Relief

Michigan State University(密歇根州立大学)

Abanish Tiwari, Chandan Chaudhary, Yansong Pei, Mohammed Ben-Idris, Joydeep Mitra

AI总结:

研究超大规模数据中心等大负荷对输电网络的新需求,以储能系统作为输电资产(SATA)提供非线路替代方案,用日-前直流最优潮流评估,得出SATA调度可降低未供电能量等,表明储能运行指定是其输电价值主要驱动因素。

摘要:

超大规模数据中心和其他大集中负荷会给现有输电网络带来大量新需求。若进口走廊缺乏足够输电能力,运营商可能需削减负荷等。作为输电资产(SATA)部署的储能系统提供了非线路替代方案,但SATA调度的运行级可靠性价值量化不足。本文用日-前直流最优潮流评估,得出相关结果表明储能运行指定是其输电价值主要驱动因素。

英文摘要:

Hyperscale data centers and other large concentrated loads can impose substantial new demand on existing transmission networks. If import corridors lack sufficient transfer capability, operators may need to curtail load, delay interconnection, or reinforce the network to maintain reliable service. An energy storage system (ESS) deployed as a storage-as-transmission asset (SATA) offers a non-wires alternative by providing operator-directed support to constrained import corridors. However, the operating-level reliability value of SATA dispatch remains insufficiently quantified. This paper evaluates operator-directed SATA using a day-ahead DC optimal power flow that co-optimizes generation, ESS dispatch, and load curtailment across Monte Carlo scenarios of demand and generator availability. Operating reliability is assessed using expected energy not served (EENS), loss-of-load hours (LOLH), and the conditional value at risk (CVaR) of daily unserved energy. Congestion-price and flow-sensitivity metrics are used to identify the limiting corridor and storage location. The interconnection is then screened to determine whether SATA is suitable, reinforcement is required, or storage would provide little transmission value. Results show that operator-directed SATA reduces average unserved energy, loss-of-load exposure, and tail risk compared with deploying the same ESS for pure arbitrage. These results demonstrate that the operating designation of storage is a primary driver of its transmission value.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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