Sequential Relaxation of Unit Commitment with AC Transmission Constraints

被引:0
|
作者
Zohrizadeh, Fariba [1 ]
Kheirandishfard, Mohsen [1 ]
Nasir, Adnan [2 ]
Madani, Ramtin [2 ]
机构
[1] Univ Texas Arlington, Dept Comp Sci & Engn, Arlington, TX 76019 USA
[2] Univ Texas Arlington, Dept Elect Engn, Arlington, TX 76019 USA
来源
2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2018年
基金
美国国家科学基金会;
关键词
LAGRANGIAN-RELAXATION; POWER; OPTIMIZATION; UNCERTAINTY; BRANCH; ENERGY;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a sequential convex relaxation method for obtaining feasible and near-globally optimal solutions for unit commitment (UC) with AC transmission constraints. First, we develop a second-order cone programming (SOCP) relaxation for AC unit commitment. To ensure that the resulting solutions are feasible for the original non-convex problem, we incorporate penalty terms into the objective of the proposed SOCP relaxation. We generalize our penalization method to a sequential algorithm which starts from an initial point (not necessarily feasible) and leads to feasible and near-optimal solutions for AC unit commitment. Once a feasible point is attained, the algorithm preserves feasibility and improves the objective value until a near optimal point is obtained. The experimental results on IEEE 57, IEEE 118, and IEEE 300 bus benchmark cases from MATPOWER [1] demonstrate the performance of the proposed method in solving challenging instances of AC unit commitment.
引用
收藏
页码:2408 / 2413
页数:6
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