Study of Circuit Breaker Status Evaluating Model Based on Matter-Element Theory

Abstract:

In the paper, a matter-element model and correlation functions of running state is established based on fuzzy decision making by high voltage circuit breaker operating state evaluation index and its diversity and ambiguity. Based on matter-element theory, a circuit breaker model which can run the state judge's classic domain, node domain, and to be evaluated matter-element is established, and the use of a set of correlation functions of the calculation circuit breaker extension running parameters and status of the correlation between levels, from the size of the circuit breaker associated with degree of qualitative and quantitative evaluation of the state is evaluated qualitatively and quantitatively, and it is finally verified by examples the usefulness of this method. Studies have shown that the method can quickly and effectively identify the operational status of circuit breakers, hence it can provide a new way to identify the operational status of circuit breakers.

• Periodical: Applied Mechanics and Materials (Volumes 670-671)
• Pages: 1458-1461
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.670-671.1458
• Online since: October 2014
• Authors: Yun Teng*, Zhi Yao An, Ji Bo Yu, Ji Wang, Yong Gang Zhang
• Keywords: AHP, Circuit Breaker, Comprehensive Evaluation, Matter-Element Theory

References

[1] QIAN Zheng, YAN Zhang, LUO Cheng-mu. A Study on Synthetic Diagnosis Method for Insulation Fault of Power Transformers [J]. Power System Technology，2002，26(2): 32-36. (In Chinese).

[2] Zhang Rui, Guo Ruijun, Li Hua, Yan Zhang. Feature Selection of DGA Data Based on Transformer Fault Classification[J]. Transformer，2005，31(4): 32-33. (In Chinese).

[3] LI Jiechong，ZHOU Ning，Lu Bin. Transformer DGA Diagnosis Expert System Based on Neural Network and Fuzzy Theory [J]. Power System Technology，2006，30: l25-128. (In Chinese).

[4] YUAN Shang-zun, NIE Ling, ZHONG Shao-bo. Study on transformer fault prediction method based on non-equal-gap gray Verhulst model[J]. Micro Computer Information，2008，24(10): 236-237. (In Chinese).

[5] ZHENG Rongyue, QIN Zizeng. Grey estimations for the three parameters Weibull distribution. Strength and Environment, 1989, (4): 34~40(In Chinese).

[6] DENG Julong. Grey control system. Huhai: Huazhong University of Science and Technology Press, 1985(In Chinese).

[7] LI Yuan-yuan, NIU Dong-xiao. An optimum credibility based integrated optimum gray neutral network model of monthly power load forecasting [J]. Power System Technology, 2005, 29(5): 16-19.

DOI: 10.1115/pwr2005-50313