作为电网系统容量源的公用事业规模电池

Omid Pourkhalili, R. Sawhney, S. A. Biyouki, H. Parsian
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引用次数: 2

摘要

美国联邦能源监管委员会于2018年通过了第841号命令,要求其管辖范围内的能源市场运营商允许将储能资源用作容量来源。从供应链的角度对电网系统日前订单估计和实时需求情景进行了文献综述。我们考虑一个电网系统与公用事业规模的电池存储集成,以保持供需平衡,在高峰时段,当电网遇到波动最大的需求。将锂离子电池与电网系统集成为潜在容量源,以最小的实时订单量满足实时需求。电池储能集成通过辅助和传输延迟等不同服务来应对日前订单误差。因此,它最大限度地减少了化石燃料的使用和低效率的实时发电排放。我们定义了实时供电过程中所涉及的所有资源,并将其转换为数学转换。然后,我们使用多项式线性回归找到描述需求与时间之间非线性关系的模型。上述模型可用于以实现和集成公用事业规模电池作为容量源来补偿部分或全部实时订单为目标的电网系统。可根据不同的用户及其需求、调度时间段等系统特点调整容量大小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utility Scale Battery as Capacity Source for Electric Grid Systems
United States Federal Energy Regulatory Commission passed order No. 841 in 2018 that requires energy market operators in their jurisdiction to allow storage resources to be utilized as capacity source. A literature review is performed on grid systems day-ahead order estimates and real-time demand scenarios from the supply chain perspective. We consider an electric grid system integrated with utility scale battery storage to maintain supply and demand balance during the the peak hours, when grid encounters with the most fluctuated demands. Having integrated lithium-ion batteries with grid systems as potential capacity source, meets the real-time demand with minimum real-time orders. Integration of battery storage responds to day-ahead order error through different services such as ancillary and transmission deferral. It consequently minimizes the use of fossil fuels and low efficient real-time power generation emission. We defined all involved resources during the real-time power supply and translated them to mathematical transitions. Then we used a Polynomial linear regression to find a model that describes nonlinear relationship between demand and time. The aforementioned model can be used and simulated for the grid systems aim to implement and integrate the utility scale batteries as capacity source to compensate part or all of real-time orders. The required capacity size is adjustable for different users and their system characteristics such as demand and power dispatch time periods.
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