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Power System with Advanced Adiabatic Compressed Air Energy Storage Power Station Energy and Reserve Markets Jointly Optimize the Clearing Model

机译:具有先进绝热压缩空气储能的电力系统能源和储备市场共同优化清算模型

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Energy storage is an effective measure to achieve large-scale wind power consumption, and advanced adiabatic compressed air energy storage (AA-CAES) technology is considered to be one of the most promising large-scale energy storage technologies with wide application scenario. In this paper, AA-CAES power station is taken as an important means to absorb wind power. Combined with the rules of the power market, the joint optimal clearing model of the day-ahead energy and reserve market of the power system with AA-CAES power station is established. This model not only considers the uncertainty of wind power and bidding, but also fully considers the complex nonlinear coupling relationship among power, pressure, flow and temperature in AA-CAES system, which can realize the maximum consumption of wind power while making the system run optimistically and economically. The effectiveness and practicability of the proposed model are verified by example analysis, and the economy of system operation and wind power absorption rate are improved effectively.
机译:储能是实现大规模风能消耗的有效措施,先进的绝热压缩空气储能(AA-CAES)技术被认为是具有广泛应用前景的最有前途的大规模储能技术之一。本文以AA-CAES电站作为吸收风电的重要手段。结合电力市场规律,建立了AA-CAES电站电力系统日用能源与备用市场联合优化清算模型。该模型不仅考虑了风电和投标的不确定性,而且充分考虑了AA-CAES系统中功率,压力,流量和温度之间的复杂非线性耦合关系,可以在使系统运行的同时实现最大的风能消耗。乐观而经济。通过实例分析验证了该模型的有效性和实用性,有效提高了系统运行的经济性和风能吸收率。

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