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作 者:程学珍[1] 林晓晓[1] 朱春华[1] 陈强[1] CHENG Xuezhen LIN Xiaoxiao ZHU Chunhua CHEN Qiang(College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, Shandong 266590, Chin)
机构地区:[1]山东科技大学电气与自动化工程学院,山东青岛266590
出 处:《山东科技大学学报(自然科学版)》2017年第1期86-93,共8页Journal of Shandong University of Science and Technology(Natural Science)
基 金:国家自然科学基金重点项目(U1261205);国家自然科学基金项目(61503224);青岛市黄岛区民生计划项目(2014-2-29)
摘 要:为了降低模型建立的复杂度,增强模型的灵活性和通用性,研究了用于电网故障诊断的分层加权模糊Petri网模型,对系统中的元件分别建立子网和综合诊断两层模型,并将建立的分层加权模糊Petri模型与Stateflow元素对应转换,利用Simulink构建故障诊断模型,结合故障推理算法,求得元件的故障概率值,准确判断出故障元件。针对一个典型电网模型进行案例测试,结果表明,所建模型和仿真方法简单方便,具有准确性和通用性。To reduce the complexity of model establishment and enhance the flexibility and universality of the model,layered weighted fuzzy Petri net model used for fault diagnosis of power system was studied.For the components of the system,two-layer models of sub network and integrated diagnosis were established respectively.Then the established layered weighted fuzzy Petri net model was converted into Stateflow model by means of the corresponding transformation between elements.With the fault diagnosis model established in Simulink and the fault reasoning algorithm,the failure probability value of the component was obtained and the failure component was diagnosed accurately.The analysis results of the case test of a typical grid model show that the proposed model and simulation method,simple and convenient,is of high accuracy and universality.
关 键 词:电力系统 故障诊断 分层模型 加权模糊PETRI网 STATEFLOW
分 类 号:TM77[电气工程—电力系统及自动化]
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