灵活性(工程)
数学优化
计算机科学
网格
随机规划
约束(计算机辅助设计)
投资(军事)
非线性规划
非线性系统
工程类
数学
机械工程
统计
物理
几何学
量子力学
政治
政治学
法学
作者
Zongxiang Lu,Haibo Li,Ying Qiao,Le Xie,Chanan Singh
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2024-01-01
卷期号:: 149-155
标识
DOI:10.1016/b978-0-323-99517-7.00010-5
摘要
The addition of the flexibility balance constraint makes planning a high-dimensional, nonlinear stochastic optimization problem with a high mathematical challenge to solve. Therefore, it is urgent to establish an optimal solution model based on flexibility programming. Firstly, a bi-level coordinated flexibility programming model based on upper-level investment decisions and lower-level operation simulation is developed; the output, flexibility supply, and demand of all types of resources are described by random variables; and the probability constraints are handled by alternate iterations of the two-tiered optimization problem. Secondly, the maximum “net benefit increment ratio” algorithm is proposed to solve the optimized flexibility planning model.
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