综合权值法和支持向量机在电能质量综合评价中的应用

Xiaohua Zhang, Xingying Chen, Haoming Liu, Bo Zhao
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引用次数: 3

摘要

本文提出了一种综合权重法和支持向量机(SVM)方法的电能质量综合评价策略。在综合权值法中,采用层次分析法确定主观权值,采用改进分散度法确定客观权值,然后根据加法原理确定综合权值。由于支持向量机能够有效地处理小样本和非线性问题,因此将其引入到电能质量的综合评价中。测试结果表明,该策略对PQ评价问题是可行的。同时可以快速得到合理的评价结果。所得到的模型具有良好的泛化性能,适合于较大的实际样本。
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Application of integrated weight method and support vector machine in the comprehensive evaluation of power quality
In this paper, a novel comprehensive strategy, consisting of an integrated weight method and support vector machine (SVM) method, is proposed to evaluate power quality. In integrated weight method, analysis hierarchy process (AHP) is employed to determine the subjective weights, and improved scatter degree (ISD) is employed to determine the objective weights, then the comprehensive weights could be fixed based on addition principle. Since SVM could deal with small samples and nonlinear problems effectively, it is introduced into the comprehensive evaluation of power quality. Test results show that the proposed strategy is feasible to PQ evaluation problems. At the same time it can obtain reasonable evaluation results quickly. The obtained model has so good generalization performance that it is fit for large practical samples.
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