A new MCDM method in transmission network planning based on gray correlation degree and TOPSIS

Author(s):  
Fan Liguo ◽  
Li Yanhong
2013 ◽  
Vol 732-733 ◽  
pp. 1292-1296
Author(s):  
Lian Guang Liu ◽  
Wan Li Zhao ◽  
Yan Wei Chen

The comprehensive fuzzy evaluation method for transmission network planning scheme has the drawback that relying more on the subjectivity. To solve this problem, gray theory is introduced into comprehensive fuzzy evaluation method. Gray correlation analysis method is used to calculate gray correlation coefficient as the membership of evaluation index to get fuzzy evaluation matrix. Then, the fuzzy weight vector is determined by the subjective and objective empowerment by integrating AHP and entropy method. Comprehensive fuzzy evaluation vector is obtained by using composite operator to synthesis evaluation matrix and fuzzy weight vector. The obtained result is used to evaluate transmission network planning scheme. Therefore, the problem that judger definate membership function based on subjective view is solved by combining the two methods. Calculation results show that the proposed method has a certain practical value.


2014 ◽  
Vol 672-674 ◽  
pp. 1075-1080 ◽  
Author(s):  
Bai Xiao ◽  
Hao Wang ◽  
Gang Mu

A spatial load forecasting method based on reliability of load forecasting is proposed. It calculates the correlation of wave comprehensive index, variance, maximum predictable ability of each power supply small area’s historical load data by using the analysis theory of grey degree based on the analysis of load forecasting error last target year. The weight of each factor effected on prediction outcomes according to the gray correlation degree is determined, then the load forecasting reliability model of each power supply area is constructed. Finally, by using the adjustment role of load forecasting reliability, the load of target year is forecasted. Actual example shows that the spatial load forecasting method based on reliability of load forecasting is correct and effective.


AIMS Energy ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 170-186 ◽  
Author(s):  
Jiashen Teh ◽  
◽  
Ching-Ming Lai ◽  
Yu-Huei Cheng ◽  
◽  
...  

2018 ◽  
Vol 33 (1) ◽  
pp. 486-501 ◽  
Author(s):  
Alexandre Moreira ◽  
Goran Strbac ◽  
Rodrigo Moreno ◽  
Alexandre Street ◽  
Ioannis Konstantelos

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