高级检索

基于多元信息的智能配电网健康水平评估方法

Evaluation Method of Health Level of Smart Distribution Network Based on Multivariate Information

  • 摘要: 为对智能配电网实施更有效的自监测、自诊断,提出一种基于多元信息的智能配电网健康水平评估方法。结合智能配电网信息化系统,构造智能配电网健康水平相关的设备和网架健康评价指标体系;根据多元指标,采用改进的神经网络对设备和网架健康度进行量化求解,并基于网架拓扑与成功流法求解设备层健康度;根据设备层和网架的健康度信息,结合模糊理论与D−S证据理论,进行模糊评价和不确定推理,确定配电网各健康水平隶属度,实现配电网整体健康水平的评估。实例结果表明:提出的评估方法能够综合智能配电网设备、网架指标及网架拓扑结构等多元信息对配电网健康水平做出合理评价,实现智能配电网的自监测与自诊断,并能准确反映设备维修更换和网架优化对配电网健康水平产生的影响。

     

    Abstract: In order to implement more effective self-monitoring and self-diagnosis for smart distribution network, a health level evaluation method of smart distribution network based on multivariate information was proposed. Firstly, combined with the smart distribution network information system, the health evaluation index system of equipments and grid structure related to the health level of smart distribution network was constructed. Secondly, according to the multivariate index data, the improved neural network was used to calculate the health index of equipments and grid, and the health index of equipment layer was solved based on grid topology and goal oriented method. Then, according to the health information of the equipment layer and the grid, combined with fuzzy theory and D−S evidence theory, fuzzy evaluation and uncertain reasoning were carried out to obtain the membership degree of each health level of the distribution network, and the overall health level of the smart distribution network was evaluated. The example results show that the proposed evaluation method can make a rational evaluation of the health level of the distribution network by integrating the multi-information such as the equipment index, grid index and the grid topology structure of the smart distribution network, realize the self-monitoring and self-diagnosis of the smart distribution network, and accurately reflect the impact of equipment maintenance and replacement and grid optimization on the health level of the distribution network.

     

/

返回文章
返回