林泽坤;彭显刚;武小梅;欧英龙;

• 1:广东工业大学自动化学院
• 2:湛江供电局

摘要(Abstract)：

以选取风电地区暂态电压稳定特征量为目标,以最小落入交叠空间的概率为判据,从描述复杂电力系统的高维特征量中选取最简特征集,简化对风电地区暂态电压稳定的分析,同时达到了降低特征指标维度的目的。介绍了交叠概率算法的理论,运用交叠概率算法对特征量进行提取,对比标准39节点的电网和加入风电的标准39节点风电电网提取的交叠空间及选取的最简特征集,比较结果表明,用由交叠概率算法从高维特征量中选取的低维特征量组成的最简特征集描述同样的电力系统对象,也能具有较高的准确率。最后用神经网络验证选取的最简特征集的准确性。

关键词(KeyWords)： 风力发电;暂态电压稳定;交叠概率;特征量

Abstract:

Keywords:

基金项目(Foundation): 广东省自然科学基金项目(10151009001000045);; 南方电网科技项目(K-GD2012-218)~~

作者(Author): 林泽坤;彭显刚;武小梅;欧英龙;

Email:

DOI: 10.13335/j.1000-3673.pst.2014.02.032

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