Decision-Making Method for Electrical Equipment Condition-Based Maintenance

2015 ◽  
Vol 16 (4) ◽  
pp. 349-355 ◽  
Author(s):  
Wei Zeng ◽  
Feng Jiang ◽  
Qin Shun Zeng ◽  
Yuanyu Ye ◽  
Ruixiang Fan
Keyword(s):  
Decision Making ◽  
Cloud Model ◽  
Rapid Development ◽  
Electrical Equipment ◽  
Condition Based Maintenance ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Relative Closeness ◽  
Grid Construction ◽  
Grey Correlation Degree

Abstract With the rapid development of power grid construction, appropriate maintenance can bring great benefits to the electricity company. On the contrary, it will cause sacrifices, even effect the development of economy. Thus, electrical equipment condition-based maintenance plays a key role to assure healthy operation of electrical equipment and improve power supply reliability. Under the background, in this paper, we combine the Cloud Model with TOPSIS which is improved by Grey Correlation Theory and propose a new decision-making method for electrical equipment condition-based maintenance. In this method, Cloud Model is used to solve the fuzziness and randomness of uncertain linguistic sets in the progress of decision-making. At the same time, we integrate the grey correlation degree into TOPSIS, and calculate the comprehensive relative closeness. Through the numerical example and comparing the sensitivity of some related methods about decision-making, the method in this is proved to be credibility. The basis of electrical equipment condition-based maintenance decision-making can be provided and supply dispatcher decision-making reference when arrange the CBM plan.

A Model of Weight Absolute Grey Correlation Degree for the Transformer Bushing State Assessment

2013 ◽  
Vol 345 ◽  
pp. 507-510
Author(s):  
Rong Gu ◽  
Jin Sha Yuan ◽  
Fei Lv
Keyword(s):  
Correlation Coefficients ◽  
State Assessment ◽  
The State ◽  
Condition Based Maintenance ◽  
Normal Operation ◽  
Power Equipment ◽  
Accurate Assessment ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Grey Correlation Degree

Accurate assessment for the operational status of the transformer bushing is not only a prerequisite for the implementation of condition-based maintenance, but also to ensure the normal operation of the transformer and the whole power equipment conditions. In the paper, a model of weight absolute grey correlation degree was used to assess the transformer bushing state. Firstly, determined the assessment indicators and handled them. Secondly, the weights, correlation coefficients and each association were calculated. Thirdly, to compare the largest association of assessment indicators in grades as the transformer bushing final run state. Finally, give the state assessment results, according to the remark set. The result shows the model works well.

scholarly journals Study on Grey Correlation Degree Decision-Making Model for Investment Scheme on High-Grade Highways in Western China

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Huihong Feng ◽  
Tian Tang ◽  
Guohong Zhang ◽  
Li Lu
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
Western China ◽  
High Grade ◽  
Grey Correlation ◽  
Western Area ◽  
Correlation Degree ◽  
Grey Correlation Degree ◽  
Decision Making Model ◽  
The Impact

Under the impact of the government’s policies to expand domestic demand and maintain economic growth, the western area acquired a large amount of funding for infrastructure construction. The high-grade highways became the key project attracting investment because of its great development potential and strong transportation adaptability. However, the special geographical conditions in the western area created numerous barriers for the construction of high-grade highways, including many investment influencing factors, great investment risks and uncertainties, and high difficulty in defining the investment effect. In view of the goals in technical advancement and economic rationality for the investment scheme of high-grade highways, the possible influencing factors of the investment scheme decision-making of the high-grade highways in western China were first given comprehensive analysis. Through literature review and field investigation, 67 influencing factors of investment scheme decision-making were determined by the cost decomposition method and expert investigation method. Then, the influence degree of each factor was analyzed by using the Delphi method and entropy method. According to the sorting results, 49 important factors were reserved as the detailed index for investment scheme decision-making. Afterwards, the index system for investment scheme decision-making consisting of 2 target factors, 5 first-level indexes, 13 second-level indexes, and 49 third-level indexes was constructed. Based on this, the decision-making model of investment scheme for high-grade highways was established by combining Analytic Hierarchy Process (AHP) and grey theory. Specially, the standardized index matrix of investment scheme was determined by AHP, and the relation degree of each scheme was calculated by grey correlation degree, and then the optimal scheme was shaped by the size of comprehensive relation degree. Finally, the grey correlation degree decision-making model of the investment scheme was applied to a highway project located in Gansu province, China. The results showed that the optimal investment scheme determined by the decision model was consistent with the scheme actually adopted, indicating that the model has good operability and practicability. In this paper, a grey correlation degree decision-making model of investment scheme for high-grade highways in western China was proposed, providing an effective theoretical basis and valuable practical experience for the investment scheme decision-making of transportation infrastructure under special environments.

scholarly journals Research on Clearing Model of Long-Term Transaction Considering Matching Degree between Generation and Load

2020 ◽  
Vol 165 ◽  
pp. 06033
Author(s):  
Zhang Lin ◽  
Zhang Qinghe ◽  
Zhang Xue ◽  
Gao Hui
Keyword(s):  
Similarity Analysis ◽  
Load Curve ◽  
Market Clearing ◽  
Grey Correlation ◽  
Correlation Degree ◽  
New Energy ◽  
Matching Degree ◽  
Flexible Load ◽  
Grey Correlation Degree

With the development of new energy and flexible load, there are many kinds of power and load characters in the power grid. It’s necessary to considerate the similarity between generation output and load when it’s market clearing. First, similarity analysis of generation-load curve based on the grey correlation degree is introduced, correlation between power generation enterprises and power users can be calculated. Then, market clearing model is built. market clearing mechanism is set which considering the matching degree between generation and load. The technological process of market clearing is given. Last, the effectiveness of the proposed clearing model is verified by an example.

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