Comparative study on two methods for synthetic evaluation of power quality

Dianli Xitong Zidonghua/Automation of Electric Power Systems

Volumn 32, Issue 21, 2008, Pages

  Zhang, Man ^a   Lin, Tao ^a   Cao, Jian ^a   Liu, Lin ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Ideal interval method; Intelligent assessment method; Particle swarm optimization; Power quality; Shepard similarity interpolation algorithm; Similarity theory

Indexed keywords

ELECTRIC MEASURING INSTRUMENTS; INTERPOLATION; OPTIMIZATION; POWER QUALITY; QUALITY CONTROL;

IDEAL INTERVAL METHOD; INTELLIGENT ASSESSMENT METHOD; PARTICLE SWARM OPTIMIZATION; SHEPARD SIMILARITY INTERPOLATION ALGORITHM; SIMILARITY THEORY;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 56849109055     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. LI Lianjie, YAO Jiangang, LONG Libo, et al. Application of combination weighing method in fuzzy synthetic evaluation of power quality. Automation of Electric Power Systems, 2007, 31(4): 56-60.
2. TANG Huizhi, PENG Jianchun. Research on synthetic and quantificated appraisal index of power quality based on fuzzy theory. Power System Technology, 2003, 27(12): 85-88.
3. FARGHAL S A, KANDIL M S, ELMITWALLY A. Quantifying electric power quality via fuzzy modeling and analytic hierarchy proceedings. IEE Proceedings: Generation, Transmission and Distribution, 2002, 149(1): 44-49.
4. LIU Yingying, LI Guodong, GU Qiang, et al. The comprehensive evaluation of power quality based on the RBF neural network. Electrotechnical Application, 2007, 26(1): 45-48.
5. JIANG Hui, PENG Jianchun, OU Yaping, et al. Power quality unitary quantification and evaluation based on probability and vector algebra. Journal of Hunan University, 2003, 30(1): 66-70.
6. XU Yonghai, CHEN Lei, XIAO Xiangning. Synthetic quantitative assessment of power quality in competition market environment//Proceedings of IEEE/PES Transmission and Distribution Conference and Exhibition: Vol 1, August 14-18, 2005, Dalian, China: 4p.
7. ZHOU Lin, LI Qiuhua, LIU Huayong, et al. Evaluation of power quality by fuzzy artificial neural network. High Voltage Engineering, 2007, 33(9): 66-69.
8. ZHOU Lin, LI Qiuhua, ZHANG Feng. Application of genetic projection pursuit interpolation model on power quality synthetic evaluation. Power System Technology, 2007, 31(7): 32-35.
9. LI Qiuhua, ZHOU Lin, LIU Huayong, et al. Evaluation of power quality by accelerating genetic algorithm and Shepard interpolation. High Voltage Engineering, 2007, 33(7): 139-143.
10. ZHANG Peng, GUO Yongji. Probabilistic assessment of voltage sags in power systems. Automation of Electric Power Systems, 2002, 26(8): 20-24.
11. SHEN C C, WANG A C, CHANG R F, et al. Quantifying disturbance level of voltage sag events//Proceedings of IEEE Power Engineering Society General Meeting: Vol 3, June 12-16, 2005, San Francisco, CA, USA: 2314-2318.
12. MA Yuchao, HOU Zhijian, JIANG Chuanwen, et al. PSO algorithm based optimal supply function model for power producer. Automation of Electric Power Systems, 2006, 30(2): 45-50.