An Integrated Decision-Making Model for Condition Assessment of Power Transformers Using Fuzzy Approach and Evidential Reasoning

Liao, Ruijin; Zheng, Hanbo; Grzybowski, S.; Yang, Lijun; Zhang, Yiyi; Liao, Yuxiang

doi:10.1109/tpwrd.2010.2096482

Cited by 151 publications

(124 citation statements)

References 33 publications

Supporting

Mentioning

123

Contrasting

Order By: Relevance

“…Although the health condition of the power transformer cannot be observed directly, it can be reflected by all kinds of condition information [5,6]. Thus, diverse evaluation indices are acquired to evaluate the health condition of the transformer, which is regarded as an MADM problem.…”

Section: Framework For Transformer Condition Assessmentmentioning

confidence: 99%

“…Therefore, grasping the health condition of transformers accurately is of significant importance, which involves transformers' operation and maintenance [4]. Health diagnosis methods provide feasibility for changing the maintenance strategy and, accordingly, maximizing the practicable operating efficiency and optimum life, while minimizing the risk of premature failure [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…Results indicated that these research works could evaluate the transformer fault condition effectively to a certain extent. Nevertheless, these attempts were not sufficient to obtain an overall and precise health condition of the transformers [5,6]. They usually gave a qualitative description of transformers whether in good or bad condition.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, some indices may be below the thresholds, but the overall condition is bad, since timely maintenance is required. Therefore, it is difficult for power utilities to obtain accurate evaluation results due to varied information sources from transformers, which can be regarded as an MADM problem [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…The AHP method, established by Satty, which has been successfully employed under many actual decision-making situations [11][12][13][14], is a popular approach for determining the weights of alternatives in MADM problems involving qualitative data [15,16]. In addition, the Dempster-Shafer theory (also called evidence theory), initially presented by Dempster [17] and then developed by Shafer [18], is applied to handle the uncertain information in MADM problems [5,6]. The kernel of evidence theory is the combination rule, which can be adopted to obtain an evaluation result considering various kinds of condition information [19].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

An Integrated Decision-Making Model for Transformer Condition Assessment Using Game Theory and Modified Evidence Combination Extended by D Numbers

et al. 2016

View full text Add to dashboard Cite

Abstract:The power transformer is one of the most critical and expensive components for the stable operation of the power system. Hence, how to obtain the health condition of transformer is of great importance for power utilities. Multi-attribute decision-making (MADM), due to its ability of solving multi-source information problems, has become a quite effective tool to evaluate the health condition of transformers. Currently, the analytic hierarchy process (AHP) and Dempster-Shafer theory are two popular methods to solve MADM problems; however, these techniques rarely consider one-sidedness of the single weighting method and the exclusiveness hypothesis of the Dempster-Shafer theory. To overcome these limitations, this paper introduces a novel decision-making model, which integrates the merits of fuzzy set theory, game theory and modified evidence combination extended by D numbers, to evaluate the health condition of transformers. A four-level framework, which includes three factors and seventeen sub-factors, is put forward to facilitate the evaluation model. The model points out the following: First, the fuzzy set theory is employed to obtain the original basic probability assignments for all indices. Second, the subjective and objective weights of indices, which are calculated by fuzzy AHP and entropy weight, respectively, are integrated to generate the comprehensive weights based on game theory. Finally, based on the above two steps, the modified evidence combination extended by D numbers, which avoids the limitation of the exclusiveness hypothesis in the application of Dempster-Shafer theory, is proposed to obtain the final assessment results of transformers. Case studies are given to demonstrate the proposed modeling process. The results show the effectiveness and engineering practicability of the model in transformer condition assessment.

show abstract

Section: Framework For Transformer Condition Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Integrated Decision-Making Model for Transformer Condition Assessment Using Game Theory and Modified Evidence Combination Extended by D Numbers

et al. 2016

View full text Add to dashboard Cite

show abstract

Dissolved Gas Analysis Interpretation and Intelligent Machine Learning Techniques

Cui¹,

Saha²,

Ma³

2017

Transformer Ageing

View full text Add to dashboard Cite

A cloud and evidential reasoning integrated model for insulation condition assessment of high voltage transformers

Liao

Zhang

Yang

et al. 2013

Int. Trans. Electr. Energ. Syst.

Self Cite

View full text Add to dashboard Cite

SUMMARY Power transformers of high voltage play a key role in the power transmission system. Statistics show that acquiring an accurate assessment of transformer insulation can avoid financial losses of electrical companies, because it can detect a potential failure and therefore decrease the risk of transformer failure. Condition assessment of transformers is full of uncertain, fuzzy and randomness information and can be considered as a multiple‐attribute decision‐making problem. Aiming at this problem, this study presents a cloud and evidential reasoning integrated approach for assessing the condition of transformers. Data from the main body, maintenance record and accessory were chosen to form the assessment index system. Analysis results show that the integrated approach is effective and provides some valuable information to the maintenance of high voltage transformer. Copyright © 2013 John Wiley & Sons, Ltd.

show abstract

An Integrated Decision-Making Model for Condition Assessment of Power Transformers Using Fuzzy Approach and Evidential Reasoning

Cited by 151 publications

References 33 publications

An Integrated Decision-Making Model for Transformer Condition Assessment Using Game Theory and Modified Evidence Combination Extended by D Numbers

An Integrated Decision-Making Model for Transformer Condition Assessment Using Game Theory and Modified Evidence Combination Extended by D Numbers

Dissolved Gas Analysis Interpretation and Intelligent Machine Learning Techniques

A cloud and evidential reasoning integrated model for insulation condition assessment of high voltage transformers

Contact Info

Product

Resources

About