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基于响应事件工艺参数免疫时间的设备电压暂降敏感特征识别
引用本文:汪颖,李成鑫,李国栋,李锴科. 基于响应事件工艺参数免疫时间的设备电压暂降敏感特征识别[J]. 四川大学学报(工程科学版), 2016, 48(4): 181-187
作者姓名:汪颖  李成鑫  李国栋  李锴科
作者单位:四川大学电气信息学院,四川大学电气信息学院,国网天津市电力公司电力科学研究院,四川大学电气信息学院
基金项目:20130181110004工业敏感过程电压暂降危害程度格序化评估
摘    要:为了准确评估电压暂降对敏感设备的影响,提出一种基于敏感设备后果状态和工艺参数免疫时间的电压暂降敏感特征识别方法。将电压暂降特征划分为基本特征和附加特征两大类,引入暂降特征集、虚拟暂降和设备电压暂降响应事件概念,用可直接观测的设备工艺参数刻画设备响应事件的后果状态,并以工艺参数达到可接受极限值的时间作为设备工艺参数免疫时间;研究虚拟暂降特征与工艺参数免疫时间之间的关系,根据工艺参数可接受极限值确定设备电压暂降敏感特征。用光伏逆变器和个人计算机受电压暂降影响的实测结果验证本文方法,结果表明,光伏逆变器的电压暂降敏感特征不仅包含暂降幅值和持续时间基本特征,相位跳变特征也是重要的敏感特征;个人计算机的电压暂降敏感特征主要是暂降幅值和持续时间基本特征。所提方法的识别结果与实验结果一致,证明了所提方法的正确性和合理性。

关 键 词:敏感设备;电压暂降;敏感特征;工艺参数;免疫时间;虚拟暂降;识别方法
收稿时间:2015-07-21
修稿时间:2016-05-27

Sensitive Characteristic Identification of Voltage Sag based on Equipment Response Event and Process Parameter Immunity Time
Wang Ying,Li Chengxin,Li GuoDong and. Sensitive Characteristic Identification of Voltage Sag based on Equipment Response Event and Process Parameter Immunity Time[J]. Journal of Sichuan University (Engineering Science Edition), 2016, 48(4): 181-187
Authors:Wang Ying  Li Chengxin  Li GuoDong and
Affiliation:College of Electrical Engineering and Information Technology, Sichuan University,Electric Power Research Institute of Electric Power Company of Tianjin State Grid,
Abstract:In order to assess the effect of sensitive equipment by voltage sag accurately, a voltage sag characteristic identification method is proposed, which based on the consequences of state and process parameter immunity time (PIT). The characteristics of voltage sag is classified to a basic set and an additional set and the concepts of voltage sag characteristic set, virtual voltage sag and influenced event of sensitive equipment caused by voltage sag are introduced in this study. Using PIT to measure the consequences of state of equipment to voltage sag. Using the duration, that from the sag occurs to the process parameter reach to the acceptable limit value, as PIT. The mapping relation between virtual voltage sag characteristic and PIT is studied in this paper, using limit value of acceptable process parameter to identify the sensitive characteristics. Using the tests on PV inverter and personal computer (PC) to verify the proposed method. The result shows that the sensitive sag characteristics of PV inverter includes magnitude, duration and phase-angle jump, the sensitive sag characteristics of PC are magnitude and duration. The identification results proposed by the method are consistent with the test result, proving the correctness and rationality of the proposed method.
Keywords:Sensitive equipment   voltage sag   sensitive characteristic   process parameter   immunity time   virtual sag   identification method
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