首页 | 本学科首页   官方微博 | 高级检索  
     

计及静态安全分析熵特性的电力系统自组织临界过程仿真
引用本文:史坤鹏,张雪敏,赵伟,范国英,傅吉悦.计及静态安全分析熵特性的电力系统自组织临界过程仿真[J].电力系统自动化,2015,39(13):38-43.
作者姓名:史坤鹏  张雪敏  赵伟  范国英  傅吉悦
作者单位:1. 清华大学电机工程与应用电子技术系,北京市 100084; 电力系统及发电设备控制和仿真国家重点实验室,清华大学,北京市 100084
2. 国网吉林省电力有限公司,吉林省长春市,130021
基金项目:国家自然科学基金资助项目(51377091); 国家电网公司科技项目 (20120515)
摘    要:自组织临界理论和熵概念在电力系统连锁性故障及复杂性分析方面已取得重要应用。结合相关研究成果,提出了基于N-1安全校核的支路开断风险熵指标,并将其应用于基于PSASP/UPI程序的多运行状态断面混合仿真平台,实现了对电力系统的静态安全风险评估及慢动态演化趋势研究。7机10节点系统的算例仿真结果表明,与传统的潮流熵指标相比,文中提出的指标在反映各支路静态安全宏观风险大小和微观异构性方面更具优势,有助于定量评估电网安全风险点和薄弱环节。

关 键 词:自组织临界性  N-1安全校核  风险    微观异构性
收稿时间:2014/10/16 0:00:00
修稿时间:5/7/2015 12:00:00 AM

Simulation of Self-organized Criticality in Power System Considering Entropy Property of Static Security Analysis
SHI Kunpeng,ZHANG Xuemin,ZHAO Wei,FAN Guoying and FU Jiyue.Simulation of Self-organized Criticality in Power System Considering Entropy Property of Static Security Analysis[J].Automation of Electric Power Systems,2015,39(13):38-43.
Authors:SHI Kunpeng  ZHANG Xuemin  ZHAO Wei  FAN Guoying and FU Jiyue
Affiliation:Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments, Tsinghua University, Beijing 100084, China,Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments, Tsinghua University, Beijing 100084, China,Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments, Tsinghua University, Beijing 100084, China,State Grid Jilin Electric Power Supply Company, Changchun 130021, China and State Grid Jilin Electric Power Supply Company, Changchun 130021, China
Abstract:The theory of self-organized criticality and entropy has been widely applied to complexity analysis of cascading failure in grids. By referring to relevant research achievements, an entropy evaluation index of branch circuit outage is proposed, and a new hybrid simulation platform of multi-time scale based on PSASP/UPI is developed to achieve a macro assessment of static security risk and its evolution trend. In the end, a simulation analysis of 7-machine 10-bus system verifies that the proposed indicators have greater advantage in reflecting fault behavior and micro heterogeneity as well as contributing to risk identification and vulnerability searching in power systems compared with the traditional power flow entropy index. This work is supported by National Natural Science Foundation of China (No. 51377091) and State Grid Corporation of China (No. 20120515).
Keywords:self-organized criticality  N-1 security check  risk  entropy  micro heterogeneity
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《电力系统自动化》浏览原始摘要信息
点击此处可从《电力系统自动化》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号