基于模拟退火算法的水电站电气装置故障运行状态自动捕捉方法Simulated annealing algorithm-based method for automatic capture of fault operation state of electrical apparatus in hydropower station
常硕,梁杰,姜久超
摘要(Abstract):
为了精准捕捉水电站水工建筑物电气装置故障运行状态,提升故障检测准确率,提出水电站水工建筑物电气装置故障运行状态自动捕捉方法。依据水电站水工建筑物电气装置的绕组机理以及故障时的电气装置漏磁场变化,采用模拟退火算法获取支持向量机相关参数,利用支持向量机自动捕捉水电站水工建筑物电气装置振动信号,根据漏磁场的变化判断该电气装置的运行状态是否正常,以此实现电气装置故障运行状态自动捕捉。结果表明,在水电站水工建筑物电气装置正常运行状态下和故障运行状态下,该方法捕捉到的电气装置的电压值均与实际值相符,电气装置运行状态捕捉准确率高,且电气装置运行状态故障准确检测率可达97%以上,实际应用效果更好,可以应用在水电站运行监控工作中。
关键词(KeyWords): 水电站;电气装置;运行状态;故障检测;模拟退火算法;支持向量机;人工智能算法
基金项目(Foundation): 河北省高校水利自动化与信息化项目(2019-03);; 国家自然科学基金项目(52077063)
作者(Author): 常硕,梁杰,姜久超
DOI: 10.13928/j.cnki.wrahe.2022.03.011
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