期刊
IET GENERATION TRANSMISSION & DISTRIBUTION
卷 7, 期 12, 页码 1527-1535出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2013.0081
关键词
IEEE standards; Monte Carlo methods; pattern clustering; power generation reliability; probability; sampling methods; wind power plants; available transfer capability probabilistic assessment; spatial correlation; wind power integrated system; wind farms; Latin hypercube sampling; LHS; scenario clustering techniques; Monte Carlo simulation; sampling efficiency; Cholesky decomposition; input random variables; vector quantification clustering algorithm; ATC evaluation; optimal power flow; IEEE reliability test system; spatially correlated wind power enhancement; ATC volatility
资金
- National Basic Research Program of China (973 Program) [2009CB219701]
- National High Technology Research and Development of China (863 Program) [2011AA05A101]
- National Natural Science Foundation of China (NSFC) [50937002]
- Science and Technology project of China Southern Power Grid [CSG[2013]0301ZD1]
With the increasing integration of wind farms, modification of current tools for evaluating and managing power systems such as available transfer capability (ATC) becomes an important issue. This study presents a computationally accurate and efficient method in evaluating ATC with large amount of uncertainty based on Latin hypercube sampling (LHS) and scenario clustering techniques. LHS is used in Monte Carlo simulation to select a system state with high sampling efficiency and good precision. Cholesky decomposition is combined into the sampling process to deal with the dependencies among input random variables. The sampled scenarios are clustered by vector quantification clustering algorithm, which contributes to the fast calculation of ATC evaluation for numerous scenarios. Finally, a sensitivity method based on optimal power flow is proposed for the clustered scenarios. The case studies, with the IEEE reliability test system, illustrate the advantages of the proposed method that largely reduces the computation burden under the premise of ensuring its accuracy. The results also verify the obvious enhancement of spatially correlated wind power on the volatility of ATC.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据