首页 | 本学科首页   官方微博 | 高级检索  
     

基于多智能体技术的大电网连锁跳闸预防控制
引用本文:丁理杰,江全元,包哲静,曹一家.基于多智能体技术的大电网连锁跳闸预防控制[J].电力系统自动化,2008,32(17):6-11.
作者姓名:丁理杰  江全元  包哲静  曹一家
作者单位:浙江大学电气工程学院,浙江省杭州市,310027
基金项目:国家重点基础研究发展计划(“973计划”)
摘    要:在大规模电网中,由简单故障触发的电力系统连锁故障会引起大停电的灾难性后果。为实现复杂大电网的实时安全控制,文中从预防线路连锁跳闸角度提出了一种大电网在线分布式计算的多智能体控制方法,提出了最佳切机切负荷控制策略来预防连锁故障。该方法不再把分布式计算局限于分层分区控制,而是把每个电网节点定义为一个智能体。模型中每个智能体在各自邻域内采用预测控制算法,经智能体间的协作求解最优控制措施。利用预测控制的滚动优化,在每个控制步内对系统控制变量和约束集进行筛选,以线性规划求解。每步优化控制算法中,计算数据由实际电网状态测量值得到。IEEE 118节点系统测试结果验证了该方法的快速性和有效性。

关 键 词:连锁故障  多智能体  预测控制  变量筛选  线性规划
收稿时间:4/28/2008 9:59:45 AM
修稿时间:2008/8/25 0:00:00

A Multi-agent Technology Based Control Strategy to Prevent Cascading Trips in Large Power Grids
DING Lijie,JIANG Quanyuan,BAO Zhejing,CAO Yijia.A Multi-agent Technology Based Control Strategy to Prevent Cascading Trips in Large Power Grids[J].Automation of Electric Power Systems,2008,32(17):6-11.
Authors:DING Lijie  JIANG Quanyuan  BAO Zhejing  CAO Yijia
Abstract:In bulk power systems,cascading failures triggered by normal events may lead to large blackouts.For online security control in large scale power grids,a real-time control strategy based on multi-agent system to prevent cascading trips is presented,and the principle of load shedding and generator tripping is also given.An agent is placed at each bus of the power grid differing from traditional distributed method that takes subarea or substratum as an agent.Each agent employs model predictive control to solve its local problem based on locally available data and the global solution can be acquired with agents' cooperation.Furthermore,a filtering method for control variable and constraint set is employed,and linear programming method is used in every varying receding-horizon.The data for next varying receding-horizon control can be acquired from the measured data of the real power grid.Simulation results of IEEE 118-bus system verify the fleetness and efficiency of this method.
Keywords:cascading failure  multi-agent system  predictive control  variable selection  linear program
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