Generation and Storage Expansion Co-optimization with Consideration of Unit Commitment

被引:0
作者
Xu, Qingyu [1 ]
Li, Shenshen [1 ]
Hobbs, Benjamin F. [1 ]
机构
[1] Johns Hopkins Univ, Dept Environm Hlth & Engn, Baltimore, MD 21218 USA
来源
2018 IEEE INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS) | 2018年
关键词
Storage expansion; generation expansion; mixed integer programming; economics;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A generation and storage expansion co-optimization model is formulated as an MILP. This expansion model is characterized by the inclusion of unit commitment modeling, such as the minimum run requirement, the ramp-rate limit, minimum up/down time and start-up/shut-down costs. Storage operation considering energy and power capacity limits and energy losses are also modeled. Storage and generation expansion is modeled as continuous variables, and an operating reserve requirement is included. The new formulation is tested in the IEEE RTS-24 test system, and the numerical results show the importance of considering unit commitment in generation and storage operation expansion modeling. Furthermore, the complementary and substitution relationships between intermittent resources and storage are quantified using the model; sometimes storage enhances the values of wind, but in other circumstances the reverse is true.
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页数:6
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