期刊
IET RENEWABLE POWER GENERATION
卷 13, 期 6, 页码 920-929出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-rpg.2018.5689
关键词
risk management; wind power plants; power generation scheduling; power markets; compressed air energy storage; decision theory; power generation economics; self-scheduling problem; air energy storage plant; compression waste thermal energy recovery; information gap decision theory approach; natural gas; simple cycle gas generator; stored air; renewable energies; solar-based three state CAES plant; uncertain solar farm generation; IGDT method; IGDT model; risk-taker; risk-averse strategies; risk-constrained scheduling; state compressed air energy storage; waste thermal recovery unit; thermal energy market environment
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据