Impact analysis of cyber system in microgrids: Perspective from economy and reliability. (February 2022)

• Record Type: Journal Article
• Authors: Yang, Xiaodong; Wang, Yanyan; Zhang, Youbing; Yao, Wei; Wen, Jinyu
• Is Part Of: International journal of electrical power & energy systems. Volume 135(2022)
• Publication Date: 2022-02
• Subjects: Impact analysis -- Microgrid -- Cyber system modeling -- Information mapping -- Economy and reliability performance; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2021.107422
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Proposal of a generic quantification analytical framework with scalable conditions for microgrids with small scheduling granularity. Formulating an equivalent combined operation model for the cyber-physical microgrid system. An impact analytical method is presented to quantify the impacts of cyber system in both economy and reliability aspects. The weak points of the cyber-physical microgrid system can be recognized Abstract: With the increasing requirements of power supply quality and operation economy of the microgrid in smart grid field, real-time energy scheduling methods that highly rely on the cyber system are inevitable supports for the optimal operation of microgrids. As a typical cyber-physical system, the disturbance and failure on the cyber side may make the performance of microgrids deviate from the expected ones. To quantify the degree to which these cyber contingencies influence the microgrid system, we propose a novel quantification and analytical framework. In this framework, the cyber system of a centrally controlled microgrid is abstracted consisting of information conversion, transmission and routing forward, as well as fusion and calculation. On this basis, the general information flow is modeled through information mapping between measured state and control command. Furthermore, an equivalent model for a cyber-physical microgrid system is formulated by integrating information mapping model into the state transition of physical microgrid. With this equivalent model, a unified impact analytical procedure is presented to accurately quantify the physical impact of multi-cyber-contingencies in both economy and reliability aspects. Numerical simulations on a microgrid validate the reasonableness and effectiveness of the proposed method.