Statistical aspects of storage systems modelling in energy networks
Statistical aspects of storage systems modelling in energy networks
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DOI：
10.1109/ciss.2012.6310769
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发表时间：
2012-03
期刊：
影响因子：
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通讯作者：
A. Bejan;R. Gibbens;F. Kelly
中科院分区：
文献类型：
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作者：
A. Bejan;R. Gibbens;F. Kelly
未来的能源网络面临着整合固有的间歇性和可变可再生能源发电的重大挑战，同时保持高度的供应安全。可再生能源在发电中的日益普及旨在减少对化石燃料的依赖并减少二氧化碳排放。本文建立并研究了大型快速响应存储和大风侵彻度缓缓斜坡发电机的随机模型。我们定义了一种运行存储设施的策略，并研究了快速响应储能在减少常规电力使用量方面的全系统长期影响。特别是，我们研究了各种系统性能量之间的权衡，包括风溢出和负载损失概率。
Future energy networks face the significant challenge of integrating inherently intermittent and variable renewable power generation while maintaining a high degree of security of supply. The increasing penetration of renewables in electric power generation aims to lessen dependence on fossil fuels and reduce carbon dioxide emissions. In this paper we formulate and study a stochastic model for large scale fast response storage and slow-to-moderate ramping generators with high wind penetration. We define a strategy for operating the storage facility and investigate the system-wide long-term effects of fast response energy storage in reducing the amount of conventional power used. In particular, we study the trade-offs between various system performance quantities, including wind spill and the loss of load probability.