Abstract
System complexity evaluation is an important part in the process of smart grid management information system construction, but there are seldom researches in this area. By analyzing the complex features of smart grid management information system, this paper establishes a complexity evaluation index system from three aspects of primary station, communication network and intelligence terminal device. Besides, a complexity evaluation method based on entropy theory is proposed to quantify the complexity factors. And complex networks space theory is introduced to establish the complexity evaluation model for the whole system, which is used to provide guidance and support for system design, optimization and maintenance. Finally, the efficience of this model is verified by a real case of smart grid management information system in a city.
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