Research on the Development Evaluation of New Power System Based on Improved Cloud Model of Bayesian Algorithm
Xinyu Yang, Yifan Zhang, Weilin Ren, Bo Zeng, Yuqing Wang, Xiaochun Zhang · 2023
To scientifically and reasonably assess the development level of China’s new power system, this study first establishes an evaluation index system, with the main dimensions being “safety and reliability, flexibility and efficiency, friendly interaction, and low-carbon economy”, comprising 11 primary indicators and 45 secondary indicators. The core of this research lies in the application of the comprehensive evaluation algorithm of the cloud model improved by the Bayesian algorithm. Through the entropy weight-order relation method, specific weights are assigned to the index system. Using data from a certain province in China from 2021 as an example, the improved cloud model successfully determined the province’s development level as “good to excellent” and proposed strategies for indicators with lower development levels. This validates the effectiveness and superiority of the cloud model improved by the Bayesian algorithm in evaluating the development level of the new power system.