Power System Optimal Scheduling Strategy Considering Reserve Characteristics of Advanced Adiabatic Compressed Air Energy Storage Plant

被引：0
|
作者：
Li Y. [1 ]
Miao S. [1 ]
Yin B. [1 ]
Luo X. [2 ]
Wang J. [2 ]
机构：
[1] State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, 430074, Hubei
[2] School of Engineering, Warwick University
来源：
Miao, Shihong (shmiao@hust.edu.cn) | 2018年 / Chinese Society for Electrical Engineering卷 / 38期
基金：
中国国家自然科学基金;
关键词：
Advanced adiabatic compressed air energy storage (AA-CAES); Optimization scheduling; Reserve characteristics; Wind power accommodation;
D O I：
10.13334/j.0258-8013.pcsee.171622
中图分类号：
学科分类号：
摘要：
Advanced adiabatic compressed air energy storage technology (AA-CAES) has been considered as one of the most promising large scale energy storage technologies. This paper analyzed the reverse characteristics of the AA-CAES plant under different operation modes in detailed, and established the optimization scheduling model of the power system with AA-CAES plant considering the reverse market. The model not only accounts for the operation constrains which can reflect the thermal operation process of the AA-CAES plant, but also considers the influence from the dynamic characteristics, the output limits, the operation pressure limits, and the thermal energy storage limits of the AA-CAES plant. As the variation range of the AA-CAES plant reserve capacity is not continuous, the lower limit constrain of thermal power units purchased reserve capacity was introduced in the model, in order to make the system reserve capacity continuously adjustable. Finally, the examples of IEEE 30 bus system verified the validity of the model. © 2018 Chin. Soc. for Elec. Eng.
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页码：5392 / 5404
页数：12
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