.png){kind=icon}
返回
Expected Value and Chance Constrained Stochastic Unit Commitment Ensuring Wind Power Utilization
.png){kind=icon}
PRE
AI
DOI：10.1109/TPWRS.2014.2319260.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes an expected value and chance constrained stochastic optimization approach for the unit commitment problem with uncertain wind power output. In the model, the utilization of wind power can be adjusted by changing the utilization rate in the proposed expected value constraint. Meanwhile, the chance constraint is used to restrict the probability of load imbalance. Then a Sample Average Approximation (SAA) method is used to transform the objective function, the expected value constraint, and the chance constraint into sample average reformulations. Furthermore, a combined SAA framework that considers both the expected value and the chance constraints is proposed to construct statistical upper and lower bounds for the optimization problem. Finally, the performance of the proposed algorithm with different utilization rates and different risk levels is tested for a six-bus system. A revised IEEE 118-bus system is also studied to show the scalability of the proposed model and algorithm.
Keyword:
Chance constraint
expected value constraint
sample average approximation
stochastic optimization
unit commitment
wind power
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.2
论文数:
1.1W
被引数:
5.0W
机构
引用论文
Impacts of large amounts of wind power on design and operation of power systems, results of IEA collaboration大量风电对电力系统设计和运行的影响，IEA合作的结果.png)
WIND ENERGY
OAAI
WIND ENERGYIF3.3
OAAI分享收藏分享收藏A new approach to quantify reserve demand in systems with significant installed wind capacity一种量化风电装机容量较大的系统中备用需求的新方法
PREAI
分享收藏Analysis of prognostic factors in male breast cancer: a report of 72 cases from a single institution
OAAI
OAAI分享收藏
查看更多内容