Rong Cai, Bin Xia, Xiaoming Zhu, Liang Wang, Jiaru Gu, and Jigang Tang
New power system, evaluation index system, fuzzy hierarchical analysis, operational effectiveness, decision information system
With the increasing requirements of society for energy conservation and emission reduction, electricity is seen as an important energy supply method to promote energy conservation and emission reduction. The study combines hierarchical analysis, rough set theory and fuzzy comprehensive evaluation method to propose a new power system operation effectiveness assessment method based on improved fuzzy hierarchical analysis. The study uses Institute of Electrical and Electronics Engineers Power & Energy Society (IEEE PES) Power System Test Cases Data Set, Power System Analysis Toolbox and GridLAB-D Test Cases as the objects of the study. The distribution is more distinctive and hierarchical. The results show that after the application of the model proposed by the research institute, the overall generation efficiency has been significantly improved. All sampling times have exceeded 85.5%, and most of them are concentrated at about 88%. At the same time, the proposed model runs only 22.17 s, which is more efficient, and the overall correlation is as high as 0.97097. The fit degree is very high, which proves high training accuracy. Overall, this study contributes to the development of smart grid technology and the improvement of power system operation and management.
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