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考虑连锁跳闸的电网临界状态搜索 被引量:2

Critical state search for power grid considering cascading trip
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摘要 针对在电网连锁跳闸场景下,提出一种对电网临界初始运行状态的搜索方法。首先,根据系统在连锁跳闸时的具体表现,结合线路电流型后备保护的动作行为,给出判断电网连锁跳闸的数学表示形式,并对支路在连锁跳闸时的临界状态进行全面分析。其次,建立寻找距离当前电网初始运行状态最近的连锁跳闸临界初始运行状态的优化模型。最后,通过聚类分析法,筛选出连锁受扰支路上的关键节点,基于关键节点用改进的粒子群算法在IEEE-14节点系统上进行仿真研究。分析结果表明,该方法可以对连锁跳闸时的临界状态进行有效搜索,从而帮助运行人员观察当前运行状态的安全情况。 In view of cascading trip,a search method was proposed for the critical initial operating state of the power grid.Firstly,according to the specific performance of the system during the cascading trip,combined with the behavior of the line’s current-type backup protection,a mathematical representation of the power grid cascading trip was given,and the critical state of the branch circuit during the cascading trip was comprehensively analyzed.Secondly,an optimization model was established to find the cascading trip’s critical initial operation state nearest to the initial operation state of current power grid.Finally,through clustering analysis,the key nodes on the disturbed branches were selected,and based on the key nodes,an improved particle swarm optimization was used to simulate the IEEE-14 bus system.Results show that this method can effectively search the critical state of cascading trip,and help operators to observe the security of current operation state.
作者 邓慧琼 罗杰 李钦彬 郑荣进 李培强 DENG Huiqiong;LUO Jie;LI Qinbin;ZHENG Rongjin;LI Peiqiang(School of Information Science and Engineering, Fujian University of Technology, Fuzhou 350108, China)
出处 《福建工程学院学报》 CAS 2020年第4期343-348,共6页 Journal of Fujian University of Technology
基金 福建工程学院科研与发展基金项目(GY-Z17149)。
关键词 电力系统 连锁跳闸 临界状态 关键节点 粒子群算法 power system cascading trip critical state sensitivity analysis particle swarm optimization
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