Evaluation method of power emergency plan index based on weight adaptive
DOI：10.19783/j.cnki.pspc.181173
Key Words:power emergency  preplan evaluation  evaluation index construction  RC grade method  adaptive weight
Author NameAffiliation
LI Lujun State Grid Ningbo Power Supply Company, Ningbo 315000, China 
DING Pengkun School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China 
FANG Xinyan School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China 
WANG Haifeng School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China 
HE Yutao School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China 
WANG Di School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China 
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Abstract:Aiming at the one-sided problem of traditional power grid disaster recovery plan evaluation and the limitation of traditional weight partition method, an evaluation method of electric power emergency plan with adaptive weights is proposed in this paper. The construction of comprehensive evaluation index and the determination method of adaptive weights are introduced in detail. With the highest similarity between the electric power emergency plan and the absolute positive ideal solution as the objective function and the judgment of RC grade method as the weight constraint condition, the relative closeness between the electric power emergency plan and the absolute positive ideal solution is calculated and compared to realize the ranking of the electric power emergency plan. This method improves the comprehensiveness of evaluation index and avoids the influence of subjective factors on weight division. The scientific evaluation results of plans provide reference and assistance for the formulation and modification of plans. The final application example in this paper shows the effectiveness of this method. This work is supported by National Key Research and Development Program of China (No. 2016YFC0205204).
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