A trend‐based approach for situation awareness in power systems. (21st September 2017)

• Record Type: Journal Article
• Authors: Wang, Tao; Zhang, Shang; Gu, Xueping
• Is Part Of: International transactions on electrical energy systems. Volume 27:Number 12(2017)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-09-21
• Subjects: power systems -- qualitative trend analysis -- security assessment -- situation awareness; Electric power -- Periodicals; Electric power systems -- Periodicals; Electrical engineering -- Periodicals; 621.3
• DOI: 10.1002/etep.2446
• Languages: English
• ISSNs: 2050-7038

Abstract

Summary: Situation awareness plays a main role in the security monitoring and control of power system operation. Previous approaches for enhancement of situation awareness mainly focus on state estimation, security analysis, and visual perception. As an effective tool to automatically identify the trend features of a continuously changing process, the trend analysis technique may be used to enhance the situation awareness of the power system. This paper proposes an enhanced framework of situation awareness by means of the qualitative trend analysis. The enhanced framework consists of 3 levels: the perception of information, the security assessment of the current state, as well as the prediction of the future system states and their trends. Based on the perceived information, the N‐1 steady‐state security distance model is introduced to assess the security levels of both the current and future system states. With the combination of the security distance model and the qualitative trend analysis, a trend‐based approach is derived to capture trend features—the moving direction of the operating points and the changing rate of tendency—of future changing states automatically. Application results of IEEE 118‐bus system and a practical power system show that the trend‐based approach could be effectively used to assist system operators in monitoring, predicting, and preventing potential problems.