基于改进熵权-灰色关联法的配电网可靠性影响因素分析

为克服不同影响因素权重相近的缺点,将改进的熵权算法引入到灰色关联分析算法,求得配电网各影响因素合理的权重值,以提高其评价的客观性。使用改进熵权-灰色关联分析算法,求得供电区域可靠性指标与各影响因素之间的关联度。实验中,对四个供电区域的数据,采用所提方法得到了不同供电区域影响供电可靠性的主要因素,并与灰色关联分析算法所得结果进行比较。实验结果表明,所提方法可有效获得各影响因素的关联度,从而确定某供电区域中对供电可靠性产生显著影响的关键因素。

Study on the factors influencing the reliability analysis in distribution network based on improved entropy weight gray correlation analysis algorithm

An improved entropy weight algorithm is introduced into a grey relational analysis algorithm to overcome the shortcomings of similar influencing factors, and the reasonable weights of each influencing factor are obtained to improve the objectivity of the evaluation. Using the improved entropy weight-grey correlation analysis algorithm, the correlation values between the reliability index of the power supply area and each influencing factor are obtained. In the experiment, as for the data of four power supply areas, the main factors affecting the reliability of power supply in different power supply areas are obtained by using the method proposed in this paper. The results are compared with those obtained by the gray correlation analysis algorithm. The experimental results show that the method can obtain the influences more effectively. Thus, the key factors that have a significant impact on the reliability of the power supply in a power supply area are determined. This work is supported by National Natural Science Foundation of China (No. 61503237).