arrow
返回

Coupling Pumped Hydro Energy Storage With Unit Commitment

delete2016-04-01
delete107
PRE
AI
K
Kenneth Bruninx
Y
Yury Dvorkin
E
Erik Delarue
H
Hrvoje Pandžić
W
William D’haeseleer *
D
Daniel S. Kirschen
DOI:10.1109/TSTE.2015.2498555delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Renewable electricity generation not only provides affordable and emission-free electricity but also introduces additional complexity in the day-ahead planning procedure. To address the stochastic nature of renewable generation, system operators must schedule enough controllable generation to have the flexibility required to compensate unavoidable real-time mismatches between the production and consumption of electricity. This flexibility must be scheduled ahead of real-time and comes at a cost, which should be minimized without compromising the operational reliability of the system. Energy storage facilities, such as pumped hydro energy storage (PHES), can respond quickly to mismatches between demand and generation. Hydraulic constraints on the operation of PHES must be taken into account in the day-ahead scheduling problem, which is typically not done in deterministic models. Stochastic optimization enhances the procurement of flexibility, but requires more computational resources than conventional deterministic optimization. This paper proposes a deterministic and an interval unit commitment formulation for the co-optimization of controllable generation and PHES, including a representation of the hydraulic constraints of the PHES. The proposed unit commitment (UC) models are tested against a stochastic UC formulation on a model of the Belgian power system to compare the resulting operational cost, reliability, and computational requirements. The cost-effective regulating capabilities offered by the PHES yield significant operational cost reductions in both models, while the increase in calculation times is limited.
Keyword:
Flexibility
unit commitment
pumped hydro energy storage
stochastic optimization
interval optimization
wind energy
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Transactions on Energy Conversion 封面图
IEEE Transactions on Energy Conversion
IF:
5.4
论文数:
6.8K
被引数:
1.5W

机构

U
University of Washington
学者数:
8.0W
论文数: 7.0W
被引数: 12.5W
K
KU Leuven
学者数:
5.7W
论文数: 5.2W
被引数: 8.1W
引用论文

引用论文

Redispatching in an interconnected electricity system with high renewables penetration
err2015-10-01
err35
errOAAI
errVan den Bergh, K.; Couckuyt, D.; Delarue, E.; D'haeseleer, W.
err分享
err收藏
err分享
err收藏
err分享
err收藏
Unit Commitment With Ideal and Generic Energy Storage Units
err2014-11-01
err172
PREAI
errPozo, David; Contreras, Javier; Sauma, Enzo E.
err分享
err收藏
err分享
err收藏
学者 查看更多内容