摘要
针对传统静态安全分析基于单一时间断面、无法细致反映系统状态变化的不足,本文提出了一种面向时间过程的静态安全分析方法。首先介绍了面向过程方法的基本概念。充分利用丰富的电力系统测量和负荷预测数据信息,提取了描述每个时间断面的特征向量;结合电力系统负荷连续变化的特点,通过改进的K-means聚类分析技术,对负荷曲线进行了时间过程的划分。定义了提取时间子过程最大特征断面和最小特征断面的指标,并对特征断面的显著代表性进行了研究。在保证电网安全稳定的前提下,本文方法可一定程度上提高传输线路的利用率。最后,IEEE30节点算例表明面向时间过程静态安全分析方法的合理性和有效性。
The traditional static security analysis based on the data of one time section can not adapt to the continuous state changing of power system appropriately.To improve the deficiency,a time process-oriented static security analysis method is presented in the paper.Firstly,the basic idea of time process-oriented method is explained.Secondly,with the abundant measurements and load forecasting information,the characteristic vector of each time section is extracted.Then the load curve is partitioned into several time sub-processes by the improved K-means clustering algorithm considering the successive time series of power load.Thirdly,the indices extracting the maximum and minimum characteristic sections of every time sub-process are defined.Then the representativeness of the characteristic sections is verified.While ensuring the static security,the time process-oriented method can improve the utilization rate of transmission lines to some extent.Finally,the calculation and analysis of IEEE 30-bus system shows the effectiveness of the method proposed in the paper.
出处
《电工技术学报》
EI
CSCD
北大核心
2010年第10期142-149,共8页
Transactions of China Electrotechnical Society
基金
supported by research fund for the doctoral program of higher education(RFDP)(20060213042)
关键词
特征断面
潮流
静态安全分析
面向时间过程
Characteristic sections
power flow
static security analysis
time process-oriented
