Multi-day self-scheduling method for combined system of CSP plants and wind power with large-scale thermal energy storage contained

被引：0
|
作者：
Jin H. [1 ,2 ]
Sun H. [1 ,2 ]
Guo Q. [1 ,2 ]
Chen R. [1 ,2 ]
Li Z. [1 ,2 ]
机构：
[1] Department of Electrical Engineering, Tsinghua University, Beijing
[2] State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Tsinghua University, Beijing
来源：
Sun, Hongbin (shb@tsinghua.edu.cn) | 2016年 / Automation of Electric Power Systems Press卷 / 40期
基金：
中国国家自然科学基金;
关键词：
Concentrating solar power (CSP) plant; Economic dispatch; Multi-day self-scheduling; Thermal energy storage device; Wind power;
D O I：
10.7500/AEPS20150826012
中图分类号：
学科分类号：
摘要：
The concentrating solar power (CSP) plants with thermal energy storage (TES) has good schedulability, which is decided by real time solar power input and energy stored in TES. The CSP plant combined with wind farms can reduce the uncertainty of wind power. The uncertainty and variability of wind and solar in different days result in the changes of CSP's schedulability and the need of it. By using scenario set to represent uncertainty of wind and solar, a stochastic model of the combined system is established. The day-ahead schedule of the system and the power dispatched in real time is optimized considering the uncertainty of multi-day wind and solar power forecast. By case study, the advantage of self-scheduling considering multi-day wind and solar uncertainty is verified, and the impact of different forecast horizon, TES's capacity and self-discharging rate is investigated. © 2016, Automation of Electric Power Systems Press.
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页码：17 / 23
页数：6
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