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A Chance Constrained Optimal Reserve Scheduling Approach for Economic Dispatch Considering Wind Penetration

Yufei Tang Chao Luo Jun Yang Haibo He

自动化学报（英文版）2017，Vol.4Issue(2)：186-194,9.

自动化学报（英文版）2017，Vol.4Issue(2)：186-194,9.DOI:10.1109/JAS.2017.7510499

A Chance Constrained Optimal Reserve Scheduling Approach for Economic Dispatch Considering Wind Penetration

Yufei Tang ¹Chao Luo ²Jun Yang ²Haibo He³

作者信息

1. the Department of Computer & Electrical Engineering and Computer Science, and the Institute for Sensing and Embedded Network Systems Engineering, Florida Atlantic University, Boca Raton, FL 33431,USA
2. the School of Electrical Engineering,Wuhan University, Wuhan 430072, China
3. the Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA
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摘要

关键词

Chance constrained/day-ahead economic dispatch/optimal reserve scheduling/particle swarm optimization (PSO)/wind power penetration

Key words

Chance constrained/day-ahead economic dispatch/optimal reserve scheduling/particle swarm optimization (PSO)/wind power penetration

引用本文复制引用

Yufei Tang,Chao Luo,Jun Yang,Haibo He..A Chance Constrained Optimal Reserve Scheduling Approach for Economic Dispatch Considering Wind Penetration[J].自动化学报（英文版）,2017,4(2):186-194,9.

基金项目

This work was supported in part by the National Science Foundation (ECCS 1053717,CNS 1117314) and the National Science Foundation of China (51529701,51277135). （ECCS 1053717,CNS 1117314）

自动化学报（英文版）

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