scholarly journals Power Customer Resource Value Evaluation Model Based on TOPSIS and Grey Correlation Degree Method Under Background of Power Sales Side Market Liberalization

2016 ◽  
Author(s):  
Tianqiong Chen ◽  
Song Xue ◽  
Hongxian Zhang ◽  
Ming Zeng
Keyword(s):  
Evaluation Model ◽  
Market Liberalization ◽  
Resource Value ◽  
Grey Correlation ◽  
Value Evaluation ◽  
Model Based ◽  
Correlation Degree ◽  
Grey Correlation Degree

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.

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.

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