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基于关联特性矩阵的电网信息物理系统耦合建模方法

薛禹胜 李满礼 罗剑波 倪明 陈倩 汤奕

电力系统自动化2018,Vol.42Issue(2):11-19,9.
电力系统自动化2018,Vol.42Issue(2):11-19,9.DOI:10.7500/AEPS20170705006

基于关联特性矩阵的电网信息物理系统耦合建模方法

Modeling Method for Coupling Relations in Cyber Physical Power Systems Based on Correlation Characteristic Matrix

薛禹胜 1李满礼 2罗剑波 3倪明 1陈倩 2汤奕3

作者信息

  • 1. 南瑞集团(国网电力科学研究院)有限公司,江苏省南京市 211106
  • 2. 国电南瑞科技股份有限公司,江苏省南京市 211106
  • 3. 智能电网保护和运行控制国家重点实验室,江苏省南京市 211106
  • 折叠

摘要

Abstract

Since the information layer and the physical layer in the cyber physical power system(CPPS)are closely coupled,the failure of cyber or physical system will seriously affect the normal operation of power system.This paper proposes a correlation characteristic matrix based modeling method for the coupling system to comb and quantify the complex interaction mechanism of information flow and energy flow in the control applications of power system.In this method,the basic analysis unit of CPPS is abstracted from the actual power system applications.Then,the external characteristics of the information nodes, secondary device nodes and communication nodes are described by the expandable multivariate sets.Moreover,the logical association relation and characteristics of physical layer,secondary device layer,communication layer,and information layer are quantitatively described by the correlation characteristic matrix method.Therefore,a complete CPPS model is formed. Finally,an actual power system based on the proposed CPPS model is analyzed,and the usage of the model is illustrated.The results have verified the rationality and effectiveness of the proposed model.

关键词

电网信息物理系统/耦合建模/关联特性矩阵/智能电网

Key words

cyber physical power system (CPPS)/coupling modeling/correlation characteristic matrix/smart grid

引用本文复制引用

薛禹胜,李满礼,罗剑波,倪明,陈倩,汤奕..基于关联特性矩阵的电网信息物理系统耦合建模方法[J].电力系统自动化,2018,42(2):11-19,9.

基金项目

国家重点研发计划资助项目(2017YFB0903000) (2017YFB0903000)

国家电网公司科技项目"面向电力控制中心应用的信息物理耦合建模与评估". This work is supported by National Key R&D Program of China (No.2017YFB0903000) and State Grid Corporation of China. (No.2017YFB0903000)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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