Stochastic Estimation Trip Frequency of Sensitive Equipment Due to Voltage Sag

被引:3
作者
Xiao, Xianyong [1 ]
Liu, Xuna [1 ]
Yang, Honggeng [1 ]
机构
[1] Sichuan Univ, Sch Elect Engn & Informat, Chengdu 610064, Peoples R China
来源
2008 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS (APCCAS 2008), VOLS 1-4 | 2008年
关键词
Sensitive equipment; Trip frequency; Normal distribution; stochastic estimation; Voltage sags;
D O I
10.1109/APCCAS.2008.4746035
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a case study where the sensitivity of the sensitive equipment due to voltage sag is estimated using a stochastic estimating method based on voltage tolerance curve and load voltage sag sensitivity. The randomicity of the equipment voltage tolerance is described using the normal distribution probability density function. The trip frequencies of sensitive equipment are estimated using accumulative sum mode in order to avoid identifying sensitivity grade for different equipment types. The simulation results comparing with the practical testing show that the proposed method is corrective and effective.
引用
收藏
页码:364 / 367
页数:4
相关论文
共 50 条
[21]   Methodology for robust monitoring of voltage sags based on equipment trip probabilities [J].
Woolley, N. C. ;
Avendano-Mora, J. M. ;
Milanovic, J. V. .
ELECTRIC POWER SYSTEMS RESEARCH, 2012, 90 :107-116
[22]   Predicting Equipment Outages Due to Voltage Sags [J].
dos Santos, Andre ;
Correia de Barros, Maria Teresa .
IEEE TRANSACTIONS ON POWER DELIVERY, 2016, 31 (04) :1683-1691
[23]   Fault Sample Augmentation and Maximum Entropy Modeling for Probability Assessment of Sensitive Equipment Due to Voltage Sags [J].
Zheng M. ;
Xiao X. ;
Chen Y. ;
Zheng Z. ;
Wang Y. .
Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences, 2024, 56 (02) :68-79
[24]   Two Probabilistic Methods for Voltage Sag Estimation in Distribution Systems [J].
Ribeiro Baptista, Joao Eduardo ;
Rodrigues, Anselmo Barbosa ;
da Silva, Maria da Guia .
2016 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC), 2016,
[25]   Mitigation of voltage sag effects on sensitive plants: an exemplary case study [J].
Quaia, S ;
Tosato, F ;
Visintini, R .
ELECTRIC POWER SYSTEMS RESEARCH, 2002, 61 (02) :93-99
[26]   Failure Probability Analysis of Sensitive Equipment Due to Voltage Sags Using Fuzzy-Random Assessment Method [J].
Xiao, Xian-Yong ;
Ma, Chao ;
Yang, Hong-Geng ;
Chen, Wu ;
Li, Hua-Qiang .
IEEE TRANSACTIONS ON POWER DELIVERY, 2010, 25 (04) :2970-2975
[27]   Probabilistic assessment of equipment trips due to voltage sags [J].
Gupta, CP ;
Milanovic, JV .
IEEE TRANSACTIONS ON POWER DELIVERY, 2006, 21 (02) :711-718
[28]   Methodology for Quantification of Equipment Trips due to Voltage Sags [J].
Bodnar, Roman ;
Otcenasova, Alena ;
Regula, Michal ;
Repak, Michal .
2016 ELEKTRO 11TH INTERNATIONAL CONFERENCE, 2016, :264-268
[29]   Premium power supply scheme based on leasing mitigation equipment against voltage sag [J].
Zhao, Heqi ;
Wang, Ying ;
Xiao, Xianyong .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 146
[30]   Sag Immunity Level Evaluation of Sensitive Equipment at Node Based on Latin Hypercube Sampling [J].
Wei P. ;
Xu Y. ;
Wang J. ;
Lei D. ;
Chang X. .
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2018, 33 (15) :3415-3425