Knowledge-Based Efficient N-1 Analysis Calculation Method for Urban Distribution Networks with CIM File Data  

作　　者：Lingyu Liang Xiangyu Zhao Wenqi Huang Liming Sun Ziyao Wang Yaosen Zhan 

机构地区：[1]Digital Grid Research Institute of China Southern Power Grid,China Southern Power Grid Co.,Ltd.,Guangzhou,510640,China [2]Software Development Department,Guangzhou Shuimu Qinghua Technology Co.,Ltd.,Guangzhou,510640,China [3]College of Electric Power,South China University of Technology,Guangzhou,510640,China

出　　处：《Energy Engineering》2023年第12期2839-2856,共18页能源工程（英文）

基　　金：supported by the National Natural Science Foundation of China(52207105)。

摘　　要：The N-1 criterion is a critical factor for ensuring the reliable and resilient operation of electric power distribution networks.However,the increasing complexity of distribution networks and the associated growth in data size have created a significant challenge for distribution network planners.To address this issue,we propose a fast N-1 verification procedure for urban distribution networks that combines CIM file data analysis with MILP-based mathematical modeling.Our proposed method leverages the principles of CIM file analysis for distribution network N-1 analysis.We develop a mathematical model of distribution networks based on CIM data and transfer it into MILP.We also take into account the characteristics of medium voltage distribution networks after a line failure and select the feeder section at the exit of each substation with a high load rate to improve the efficiency of N-1 analysis.We validate our approach through a series of case studies and demonstrate its scalability and superiority over traditional N-1 analysis and heuristic optimization algorithms.By enabling online N-1 analysis,our approach significantly improves the work efficiency of distribution network planners.In summary,our proposed method provides a valuable tool for distribution network planners to enhance the accuracy and efficiency of their N-1 analyses.By leveraging the advantages of CIM file data analysis and MILP-based mathematical modeling,our approach contributes to the development of more resilient and reliable electric power distribution networks.

关 键 词：MILP CIM fast analytical method N-1 distribution networks knowledge-based method 

分 类 号：TM73[电气工程—电力系统及自动化]