DEA analysis based distribution network investment efficiency evaluation method
An evaluation method and technology of distribution network, applied in the field of evaluation of distribution network investment efficiency based on DEA analysis, can solve the problem of not taking into account the economy, reliability and quality, so as to improve the power supply service ability, improve the customer satisfaction rate, The effect of improving the reliability of power supply
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Embodiment 1
[0028] The present invention utilizes the cluster analysis method to screen distribution network investment evaluation indicators, screens out indicators with a large degree of difference between the indicators and can properly reflect the distribution network investment efficiency, and performs DEA analysis with fewer but more precise indicators, thereby obtaining more accurate evaluations As a result, the specific process of the present invention will be described below using specific embodiments.
[0029] Please refer to figure 1 , a method for evaluating distribution network investment efficiency based on DEA analysis, including the following steps:
[0030] S1. Determine multiple decision-making units for the evaluation of distribution network investment efficiency;
[0031] S2. Select the input and output indicators of the distribution network investment efficiency evaluation decision-making unit;
[0032] S3. Utilize the cluster analysis method to classify and divide ...
Embodiment 2
[0041] Please refer to figure 1 , a method for evaluating distribution network investment efficiency based on DEA analysis, including the following steps:
[0042] S1. Determine multiple decision-making units for the evaluation of distribution network investment efficiency;
[0043] S2. Select the input and output indicators of the distribution network investment efficiency evaluation decision-making unit;
[0044] S3. Utilize the cluster analysis method to classify and divide the input index and the output index of the decision-making unit, obtain multiple groups of input index and output index after screening, wherein, the cluster analysis method is agglomerative hierarchical clustering method;
[0045] S4. Utilize the data envelopment analysis evaluation model to evaluate multiple decision-making units, and obtain the relative efficiency index of multiple decision-making units;
[0046] Wherein, the data envelopment analysis evaluation model is a CCGSS evaluation model, and...
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