TY  - EJOU
AU  - Liang, Lingyu 
AU  - Zhao, Xiangyu 
AU  - Huang, Wenqi 
AU  - Sun, Liming 
AU  - Wang, Ziyao 
AU  - Zhan, Yaosen 

TI  - Knowledge-Based Efficient N-1 Analysis Calculation Method for Urban Distribution Networks with CIM File Data
T2  - Energy Engineering

PY  - 2023
VL  - 120
IS  - 12
SN  - 1546-0118

AB  - 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.
KW  - MILP; CIM; fast analytical method; N-1; distribution networks; knowledge-based method

DO  - 10.32604/ee.2023.042042