基于贝叶斯估计的配电网智能分布式故障区段定位算法Distribution Network Fault Segment Location Algorithm Based on Bayesian Estimation in Intelligent Distributed Control Mode
郑晨玲;朱革兰;
摘要(Abstract):
分布式的保护和控制系统因更符合智能配电网的结构特点和运行要求,成为未来配网控制系统的重要发展方向。以配电网的智能分布式控制模式为例,借鉴拜占庭一致性协议中的"投票"策略,建立了代数形式下的馈线状态与电流越限信息之间的因果关系模型,通过决策信息找出可能故障区段。最后用贝叶斯概率模型对可能故障区段进行评价,找出最能解释电流越限信息的馈线区段。该方法的优点在于:所提故障区段定位方法避免了集中式故障定位受限于信息传输距离和主站的信息处理能力的问题,对于含T型耦合节点的复杂配电网,提出的故障区段定位算法能够实现单重或多重故障区段的准确辨识,仿真结果表明,该算法具有较高的容错性能。
关键词(KeyWords): 分布式控制模式;因果关系;贝叶斯概率模型
基金项目(Foundation):
作者(Author): 郑晨玲;朱革兰;
Email:
DOI: 10.13335/j.1000-3673.pst.2019.0734
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