Analysis and Investigation on Causes of Voltage Sag Based on A Novel Apriori Algorithm

Hao Liu; Qinghui Zeng; Shaohui Liu; Zhuojun Wu; Lei Li; Rongrong Ma

doi:10.1051/e3sconf/202019403015

All issues

Volume 194 (2020)

E3S Web Conf., 194 (2020) 03015

References

Open Access

Issue		E3S Web Conf. Volume 194, 2020 2020 5^th International Conference on Advances in Energy and Environment Research (ICAEER 2020)


Article Number		03015
Number of page(s)		5
Section		Power Engineering and Power Generation Technology
DOI		https://doi.org/10.1051/e3sconf/202019403015
Published online		15 October 2020

L.F. Cheng, T. Yu, X.S. Zhang, L.F. Yin, and K.Q. Qu, “Cyber-physical-social systems based smart energy robotic dispatcher and its knowledge automation: framework, techniques and challenges,” Proceedings of the CSEE, vol. 38, no. 1, pp. 25-40, Jan. 2018. [Google Scholar]
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Y. Zhang, L.S. Yin, R.Q. Ma, D.M. Liu, C.L. Yang Voltage sag detection method based on complex wavelet transform and effective value algorithm. Electrical Measurement and Instrument, 2017, 54(10: 74-79. [Google Scholar]
S. Tao. Study on the influence of voltage sag on reliability of distribution system and its evaluation index. Master’s thesis, North China Electric Power University, Baoding, China, 2005. [Google Scholar]
Y. Luo, L.H. Qi Application of association rules in voltage sag analysis. China Science and Technology Information, 2013, 23: 169-171. [Google Scholar]
Z. Xu, W.X. Mo, Z. Zhang, Q. Zhong Cluster analysis of urban power system voltage sag event. Power Supply and Consumption, 2018, 35(02: 31-35. [Google Scholar]
X. Shen, H.G. Yang, C. Duan. Data mining analysis method based on gray target theory and cloud model for voltage sag event. Power Grid Technology, 2019, 43(02: 722-731. [Google Scholar]

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[1] L.F. Cheng, T. Yu, X.S. Zhang, L.F. Yin, and K.Q. Qu, “Cyber-physical-social systems based smart energy robotic dispatcher and its knowledge automation: framework, techniques and challenges,” Proceedings of the CSEE, vol. 38, no. 1, pp. 25-40, Jan. 2018. [Google Scholar]

[2] L.F. Cheng and T. Yu, “Typical scenario analysis of equilibrium stability of multi-group asymmetric evolutionary games in the open and ever-growing electricity market,” Proceedings of the CSEE, vol. 38, no. 19, pp. 5687-5703, Oct. 2018. [Google Scholar]

[3] L.F. Cheng and T. Yu, “Game-theoretic approaches applied to transactions in the open and ever-growing electricity markets from the perspective of power demand response: An overview,” IEEE Access, vol. 7, no. 1, pp. 25727-25762, Mar. 2019. [Google Scholar]

[4] T. Yu, L.F. Cheng, and X.S. Zhang, “The weakly-centralized Web-of-Cells based on cyber-physical-social systems integration and group machine learning: Theoretical investigations and key scientific issues analysis,” Scientia Sinica(Technologica), vol. 49, pp. 1541-1569, 2019. [Google Scholar]

[5] L.F. Cheng, T. Yu, X.S. Zhang, and L.F. Yin, “Machine learning for energy and electric power systems: state of the art and prospects,” Automation of Electric Power Systems, vol. 43, no. 1, pp. 15-31, Jan. 2019. [Google Scholar]

[6] X.N. Xiao. Analysis and control of power quality. Beijing, China: China Electric Power Press, 2010: 124-138. [Google Scholar]

[7] X.D. Yang. Study on stochastic estimation of voltage sag and its economic management method. Master’s thesis, North China Electric Power University, Baoding, China, 2009. [Google Scholar]

[8] Y. Zhang, L.S. Yin, R.Q. Ma, D.M. Liu, C.L. Yang Voltage sag detection method based on complex wavelet transform and effective value algorithm. Electrical Measurement and Instrument, 2017, 54(10: 74-79. [Google Scholar]

[9] S. Tao. Study on the influence of voltage sag on reliability of distribution system and its evaluation index. Master’s thesis, North China Electric Power University, Baoding, China, 2005. [Google Scholar]

[10] Y. Luo, L.H. Qi Application of association rules in voltage sag analysis. China Science and Technology Information, 2013, 23: 169-171. [Google Scholar]

[11] Z. Xu, W.X. Mo, Z. Zhang, Q. Zhong Cluster analysis of urban power system voltage sag event. Power Supply and Consumption, 2018, 35(02: 31-35. [Google Scholar]

[12] X. Shen, H.G. Yang, C. Duan. Data mining analysis method based on gray target theory and cloud model for voltage sag event. Power Grid Technology, 2019, 43(02: 722-731. [Google Scholar]