Improved Genetic Projection Pursuit Method Based on Measured Data on Power Quality Comprehensive Evaluation of the Application

Abstract:

This paper uses Multi-index to assess regional power quality comprehensively. This paper introduces genetic projection pursuit method on power quality comprehensive evaluation. Without human intervention, this method overcomes the traditional power quality comprehensive evaluation method is influenced by subjective factors. Based on this, we put forward improved genetic projection pursuit algorithm. In the process of projection pursuit model and in the field data, changing the maximum normalized to normalization of national standard limit. According to the field experiment data in QingHai province, we assess the results by analysis and comparison with the original method. The improved method is more accurate on power quality comprehensive assessment.

• Periodical: Advanced Materials Research (Volumes 732-733)
• Pages: 1308-1313
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.732-733.1308
• Online since: August 2013
• Authors: Xiu Fang Jia, Kai She, Shen Mao Huang, Jing Hua Ma
• Keywords: Comprehensive Evaluation, Genetic Projection Pursuit, Normalized, Power Quality (PQ)

References

[1] VANNOYD B, MC GRANAGHANMF, HALPINSM, etal. Roadmap for　power-quality standards development[J]. IEEE Transactions on Industry Applications, 2007, 43(2): 412-421.

[2] Pengcheng Zhu, Xun Li, Yong Kang. Study of control strategy for a unified power quality conditioner[J]. Proceedings of the CSEE, 2004, 24(8): 67-73. (In Chinese).

[3] Gengyin Li, Yan Luo, Ming Zhou. Power quality disturbance detection and location based on mathematical morphology and grille fractal [J]. Proceedings of the CSEE, 2006, 26(3): 25-30. (In Chinese).

DOI: 10.1109/tdc.2005.1547030

[4] Huizhi Tang, Jianchun Peng. Research on synthetic and quantificated appraisal index of power quality based on fuzzy theory[J]. Grid technology, 2003, 27(12): 85-88. (In Chinese).

[5] Hui Jiang, Jianchun Peng, Yaping Ou. Power quality unitary quantification and evaluation based on probability and vector algebra[J]. Journal of hunan university (natural science edition), 2003, 30(1): 66-70. (In Chinese).

[6] Lei Chen, Yonghai Xu. Discussion about the methods of evaluating power quality[J]. Electrical applications, 2005, 24(1): 58-61. (In Chinese).

[7] Xia Zhao, Chengyong Zhao, Xiufang Jia. Fuzzy synthetic evaluation of power quality based on changeable weight[J]. Electrical applications, 2005, 29(6): 11-16. (In Chinese).

[8] Soliman S A, Mostafa M A, EI-H awary M E. Frequency and harmonics evaluation in power net works using fuzzy regression technique[C]. Power Engineering Society Summer Meeting. [S1]. 2001: 1222-1228.

DOI: 10.1109/pess.2001.970243

[9] Xiaohua Yang, Zhenyao Shen. Intelligent algorithm and its application in resources and environment system modeling[M]. Beijing: Beijing normal university press, 2005. (In Chinese).

[10] Zuoyong Li. Projection pursuit technique and its progress[J]. The journal nature , 1997, 19( 4 ): 224-227. (In Chinese).

[11] Yingjie Lei, Shanwen Zhang, Xuwu Li. Matlab genetic algorithm toolbox and its application[M]. Xi'an: Xi 'an university of electronic science and technology press, 2005. (In Chinese).

[12] Yingying Liu, Yonghai Xu, Xiangning Xiao. Analysis of New Method on Power Quality Comprehensive Evaluation for Regional Grid[J]. Proceedings of the CSEE, 2008, 28(22): 130-136. (In Chinese).