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Risk-constrained scheduling of solar-based three state compressed air energy storage with waste thermal recovery unit in the thermal energy market environment

机译:在热能市场环境中具有废热回收单元的太阳基三个状态压缩空气储存的风险约束调度

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摘要

This paper evaluates the self-scheduling problem for solar-based compressed air energy storage (CAES) plant with capability of compression waste thermal energy recovery via information gap decision theory (IGDT) approach. This feature gives the plant the ability to make income through participation in the thermal energy market. Moreover, the proposed plant uses natural gas as input fuel, which makes the system flexible to operate as a simple cycle gas generator when the stored air is drained. The utilisation of renewable energies in spite of many benefits has some challenges to self-scheduling of the solar-based three state CAES plant such as volatility and unpredictability. In addition, the uncertain solar farm generation is modelled by IGDT method. By the proposed IGDT model, the plant can pursue risk-taker and risk-averse strategies to face with different situations related to uncertain parameter. Finally, the numerical results obtained from case studies validate the appropriateness of the proposed approach.
机译:本文评估了太阳能压缩空气能量存储(CAES)厂的自调度问题,通过信息差距决策理论(IGDT)方法具有压缩废热能量回收能力。此功能使工厂通过参与热能市场来获得收入的能力。此外,所提出的工厂使用天然气作为输入燃料,这使得当储存空气排出时,该系统使系统作为简单的循环气体发生器操作。尽管有许多益处的可再生能源的利用对于自我调度的基于太阳的三种状态CAES植物,如波动性和不可预测性的挑战。此外,不确定的太阳能农场产生由IGDT方法进行建模。通过拟议的IGDT模型,该工厂可以在与不确定参数相关的不同情况下面对面对风险的风险接受者和风险厌恶策略。最后,从案例研究中获得的数值结果验证了所提出的方法的适当性。

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