Sharing Energy Storage Between Transmission and Distribution

Sharing Energy Storage Between Transmission and Distribution
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输配电共享储能

DOI:
10.1109/tpwrs.2018.2866420
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发表时间:
2019
影响因子:
6.6
通讯作者:
D. Kirschen
D. Kirschen
中科院分区:
工程技术1区
文献类型:
--
作者:
Ryan T. Elliott;R. Fernández;K. Kozdras;Josh Kaplan;Brian Lockyear;Jason Zyskowski;D. Kirschen

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本文讨论了在缺乏集中市场的系统中如何最好地协调或“堆叠”储能服务的问题。具体地说,它的重点是如何协调传输级别的拥塞缓解与本地分配级别的目标。我们描述并演示了用于执行此协调的统一通信和优化框架。拥塞缓解问题公式采用了加权的${\ell_{1}\text{-Norm}}$目标。这种方法确定了一套纠正措施,即能量储存注入和常规发电调整,以最大限度地减少所需的偏离计划时间表的偏差。为了实践这一协调框架,我们提供了两个案例研究。第一个是基于3总线的测试系统,第二个是美国太平洋西北地区的现实代表。结果表明,该调度方法缓解了拥堵,节约了成本,提高了可再生能源的集成度。这项大规模的案例研究为与华盛顿大学、斗山格栅技术公司、斯诺霍米什县城市发展部和博内维尔电力管理局合作进行的现场演示提供了设计依据。演示的目标是在具有真实储能资产的生产环境中测试调度框架的可行性。验证结果与计算模拟结果一致。
This paper addresses the problem of how best to coordinate, or “stack,” energy storage services in systems that lack centralized markets. Specifically, its focus is on how to coordinate transmission-level congestion relief with local, distribution-level objectives. We describe and demonstrate a unified communication and optimization framework for performing this coordination. The congestion relief problem formulation employs a weighted ${\ell _{1}\text{-norm}}$ objective. This approach determines a set of corrective actions, i.e., energy storage injections and conventional generation adjustments, that minimize the required deviations from a planned schedule. To exercise this coordination framework, we present two case studies. The first is based on a 3-bus test system, and the second on a realistic representation of the Pacific Northwest region of the United States. The results indicate that the scheduling methodology provides congestion relief, cost savings, and improved renewable energy integration. The large-scale case study informed the design of a live demonstration carried out in partnership with the University of Washington, Doosan GridTech, Snohomish County PUD, and the Bonneville Power Administration. The goal of the demonstration was to test the feasibility of the scheduling framework in a production environment with real-world energy storage assets. The demonstration results were consistent with computational simulations.
DOI: 10.1109/tsg.2017.2748519
发表时间: 2019-01-01
影响因子: 9.6
作者:
Kalathil, Dileep;Wu, Chenye;Varaiya, Pravin
通讯作者: Varaiya, Pravin