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Short-term scheduling of thermal generators and battery storage with depth of discharge-based cost model

机译:基于放电深度成本模型的热力发电机和电池存储的短期调度

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Summary form only given. Utility scale battery storage will soon reach a level of maturity where the modular design of the technology and aggregation will allow custom-built solutions for energy and ancillary service needs of the power system. Several projects are in the demonstration phase worldwide and hold promise for successful incorporation of battery storage into traditional power systems operations. In contrast to thermal generators and pumped hydro stations, there is a strong connection between the short-term operation and life of the battery storage systems. Due to this long-term consequence of short-term decisions for battery technologies, a constant short-term cost model is inadequate. Instead an adaptable short-term cost model is required which reflects the operation of the battery. Such a model of the battery is presented considering battery cycling and depth of discharge. Further, this paper aims to elucidate this relation between short-term and long-term costs of utility scale battery energy storage and presents a mathematical formulation for short-term 24-h scheduling problem in conjunction with thermal generation. The model is illustrated and storage efficacy is examined by scheduling alongside traditional generation with prices typical in Ontario, Canada and battery storage is used to alleviate price spikes caused by ramping requirements.
机译:仅提供摘要表格。公用事业规模的电池存储将很快达到成熟的水平,该技术的模块化设计和集成将允许为电力系统的能源和辅助服务需求定制解决方案。全球有多个项目处于示范阶段,它们有望成功将电池存储纳入传统的电源系统操作中。与热力发电机和抽水蓄能电站相比,短期运行与电池存储系统的寿命之间有着密切的联系。由于电池技术短期决策的长期后果,恒定的短期成本模型是不够的。相反,需要一个可调整的短期成本模型来反映电池的运行情况。考虑到电池循环和放电深度,提出了这种电池模型。此外,本文旨在阐明公用事业规模电池储能的短期和长期成本之间的这种关系,并提出了与热发电相结合的短期24小时调度问题的数学公式。对该模型进行了说明,并通过调度与传统发电方式一起检查了存储效率,并采用了加拿大安大略省的典型价格,并使用电池存储来缓解因需求增加而导致的价格飙升。

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