ISSN 1000-1239 CN 11-1777/TP

计算机研究与发展 ›› 2017, Vol. 54 ›› Issue (4): 720-730.doi: 10.7544/issn1000-1239.2017.20161026

所属专题: 2017能源互联网专题

• 网络技术 • 上一篇    下一篇

基于多智能体混合调度的电网自愈系统

王娟娟1,2,王宏安1   

  1. 1(中国科学院软件研究所 北京 100190); 2(中国科学院大学 北京 100049) (wjuanj89@126.com)
  • 出版日期: 2017-04-01

Multi-Agent Multi-Criticality Scheduling Based Self-Healing System of Power Grid

Wang Juanjuan1,2, Wang Hongan1   

  1. 1(Institute of Software, Chinese Academy of Sciences, Beijing 100190); 2(University of Chinese Academy of Sciences, Beijing 100049)
  • Online: 2017-04-01

摘要: 随着智能电网、信息技术和新能源技术的飞速发展,能源互联网的概念已经提出,“源-网-荷-储”4个环节的互动协调的趋势已经显现.能源互联网本质上是安全攸关系统,特别在电网故障发生时,需要执行大量的具有先后关系和截止期限的动作序列进行恢复.因此,能源互联网中实现电网自愈的体系架构在多智能体的基础上,提出了一种基于多智能体的混合实时调度模型和求解方法,在电网自愈过程中加入了故障链和安全树,并增加了截止期约束条件,确保电网能及时得出修复故障安全的操作序列,减少后继可能发生的故障.最后,通过仿真结果验证了智能电网自愈多智能体混合实时调度模型及其求解算法可有效地增加故障结点安全操作处理的成功率(平均17.74%)并减少故障链式后续触发率(平均7.72%),有助于增强智能电网乃至能源互联网的快速自愈和减少后继安全故障的发生.

关键词: 电网自愈系统, 多智能体, 安全攸关, 实时调度, 混合关键性

Abstract: With the rapid development of smart grid, information and new energy technology, the concept of energy Internet has gained great research attention most recently, and the trend of flexible and secure coordination between “generation-grid-load-energy storage” has become a really hot and interesting topic. From smart grid to energy Internet, the self-healing system of power grid is always a safety-critical real-time system. When fault happens, great amount of correlated and deadline-constrained operations need to be executed timely so as to the recovery of the system. Based on the multi-agent architecture of the self-healing system of power grid towards energy Internet, a multi-agent real-time multi-criticality scheduling task model and scheduling approach are proposed in this paper. Fault chain and secure tree with deadline constraints are added into the self-healing process in the power grid in order to protect the system from unpredicted sequences of fault dealing operations,resulting in less successive fault occurrence with security assurance. The experimental results show that our proposed method can effectively increase the success ratio of self-healing tasks by average 17.74% and lower the successive fault occurrence ratio by average 7.72%, which is promising to be applied in the self-healing system of power grid for security concern.

Key words: self-healing system of power grid, multi-agent, safety-critical, real-time scheduling, multi-criticality

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