Comprehensive Evaluation Model for Situational Awareness Effects of a Smart Distribution Network

被引:0
|
作者
Ge L. [1 ]
Li Y. [1 ]
Wang Y. [2 ]
机构
[1] Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin
[2] Sany Heavy Machinery Ltd., Suzhou
基金
中国国家自然科学基金;
关键词
Comprehensive evaluation model; Situational awareness; Smart distribution network; Subjective and objective hybrid method;
D O I
10.11784/tdxbz202004006
中图分类号
学科分类号
摘要
Situational awareness (SA) in a smart distribution network (SDN) is considered as a significant process that ensures its stable operation and determines its intelligence level. An SDN is characterized by equipment diversity and polymorphic operation. In order to quantitatively analyze the SA effects of an SDN,a comprehensive evaluation model that includes comprehensive evaluation indicators and evaluation methods was proposed. The comprehensive evaluation indicator system consists of five aspects: the monitoring level of equipment status and power quality,reliability,self-healing capability,and consumption level of renewable energy,which is five aspects of first-level indicators and a total of 17 second-level indicators. In terms of comprehensive evaluation methods,this study used binomial coefficient method-based,subjective weighting and multi-objective programming method-based,objective weighting in order to weight the proposed indicator system. The expert scoring ambiguity of the subjective evaluation method and the sample dependence of the objective evaluation method were both considered. A case was used to verify the feasibility and practicality of the proposed model. The comprehensive evaluation model that was developed for the SA effects of the SDN accurately reflects the operational status of the distribution network,eliminates the one-sidedness of the single evaluation method,improves the observability of the SDN,analyzes the weak links and potential risks of the SDN,and provides technical support for the comprehensive evaluation in the field of SA of an SDN. © 2020, Editorial Board of Journal of Tianjin University(Science and Technology). All right reserved.
引用
收藏
页码:1101 / 1111
页数:10
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