A Distributed Framework for Solving and Benchmarking Security Constrained Unit Commitment With Warm Start

被引：35

作者：

Chen, Yonghong ^{[1
]}

Wang, Fengyu ^{[1
]}

Ma, Yaming ^{[1
]}

Yao, Yiyun ^{[2
]}

机构：

[1] Midcontinent Independent Syst Operator Inc, Carmel, IN 46032 USA

[2] IIT, Dept Elect & Comp Engn, Chicago, IL 60616 USA

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2020年 / 35卷 / 01期

关键词：

MISO communication; Security; Data analysis; Optimization; Production; Load modeling; Benchmark testing; Mixed-integer programming; performance benchmark; security-constrained unit commitment; tight formulation;

D O I：

10.1109/TPWRS.2019.2930706

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：

This paper discusses several methods to improve commercial optimization solver performance on day-ahead security constrained unit commitment through warm start and lazy constraint settings. Data analytics is performed to greatly improve the quality of the initial commitment solution and lazy constraint setting. A distributed optimization framework is proposed to take advantage of the diversity from prevalent solvers (GUROBI and CPLEX) and different warm start strategies. A systematic distribution profile based benchmarking method is also proposed.

引用

页码：711 / 720

页数：10

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