电力系统仿真
约束(计算机辅助设计)
稳健优化
数学优化
稳健性(进化)
测量不确定度
计算机科学
电力系统
复杂系统
鲁棒控制
工程类
功率(物理)
数学
控制系统
机械工程
生物化学
物理
化学
统计
量子力学
基因
电气工程
人工智能
作者
Wei Wang,Anna Danandeh,Brian Buckley,Bo Zeng
出处
期刊:IEEE Transactions on Power Systems
[Institute of Electrical and Electronics Engineers]
日期:2023-03-31
卷期号:39 (1): 909-920
被引量:2
标识
DOI:10.1109/tpwrs.2023.3262789
摘要
In this paper, we present and study a robust unit commitment model and some variants that consider complex temperature and demand uncertainties. Since there is a strong relationship among the efficiency of gas generators, demand, and temperature in practical systems, our robust models have both left- and right-hand-side (LHS and RHS, respectively) uncertainties. Unlike many existing robust models with RHS uncertainty only, the introduction of LHS uncertainty imposes a huge challenge in computing robust solutions. For those complex formulations, we analyze their structures, derive important properties, and design exact and fast approximation solution strategies under the column-and-constraint generation framework. Numerical experiments are conducted on typical IEEE test systems, which showcase the great performance of our solution methods and demonstrate a clear impact of complex and correlated uncertainties in system operations.
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