Representing Operational Flexibility in Generation Expansion Planning Through Convex Relaxation of Unit Commitment

被引：89

作者：

Hua, Bowen ^{[1
]}

Baldick, Ross ^{[1
]}

Wang, Jianhui ^{[2
,3
]}

机构：

[1] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78701 USA

[2] Southern Methodist Univ, Dept Elect Engn, Dallas, TX 75205 USA

[3] Argonne Natl Lab, Energy Syst Div, 9700 S Cass Ave, Argonne, IL 60439 USA

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2018年 / 33卷 / 02期

关键词：

Convex optimization; generation expansion planning; Lagrangian relaxation; operational flexibility; unit commitment;

D O I：

10.1109/TPWRS.2017.2735026

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Large shares of renewable generation in electric power systems increase the need for operational flexibility. Consideration of operational flexibility in generation expansion planning (GEP) necessitates the modeling of unit commitment (UC) in system operations. However, the UC problem itself is computationally challenging. We present a GEP model in which the embedded operational problem is a convex relaxation of the UC problem. Through a large-scale example based on the Texas system, we show the tightness and tractability of our relaxation, as well as the impact of operational flexibility on GEP.

引用

页码：2272 / 2281

页数：10

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