Reliability Analysis and Overload Capability Assessment of Oil-Immersed Power Transformers

Chen Wang, Jie Wu, Jianzhou Wang and Weigang Zhao ()
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Chen Wang: School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, China
Jie Wu: School of Mathematics and Computer Science, Northwest University for Nationalities, Lanzhou 730030, China
Jianzhou Wang: School of Statistics, Dongbei University of Finance and Economics, Dalian 116025, China

Energies, 2016, vol. 9, issue 1, 1-19

Abstract: Smart grids have been constructed so as to guarantee the security and stability of the power grid in recent years. Power transformers are a most vital component in the complicated smart grid network. Any transformer failure can cause damage of the whole power system, within which the failures caused by overloading cannot be ignored. This research gives a new insight into overload capability assessment of transformers. The hot-spot temperature of the winding is the most critical factor in measuring the overload capacity of power transformers. Thus, the hot-spot temperature is calculated to obtain the duration running time of the power transformers under overloading conditions. Then the overloading probability is fitted with the mature and widely accepted Weibull probability density function. To guarantee the accuracy of this fitting, a new objective function is proposed to obtain the desired parameters in the Weibull distributions. In addition, ten different mutation scenarios are adopted in the differential evolutionary algorithm to optimize the parameter in the Weibull distribution. The final comprehensive overload capability of the power transformer is assessed by the duration running time as well as the overloading probability. Compared with the previous studies that take no account of the overloading probability, the assessment results obtained in this research are much more reliable.

Keywords: current measurement; losses; power transformers; reliability estimation; transformer windings (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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