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

Energy Engineering 2023年第12期120卷 2839-2856页

作者： Lingyu Liang Xiangyu Zhao Wenqi Huang Liming Sun Ziyao Wang Yaosen Zhan Digital Grid Research Institute of China Southern Power Grid China Southern Power Grid Co.Ltd.Guangzhou510640China Software Development Department Guangzhou Shuimu Qinghua Technology Co.Ltd.Guangzhou510640China College of Electric Power South China University of TechnologyGuangzhou510640China

The N-1 criterion is a critical factor for ensuring the reliable and resilient operation of electric power distribution ***,the increasing complexity of distribution networks and the associated growth in data size have created a significant challenge for distribution network *** 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 *** proposed method leverages the principles of CIM file analysis for distribution network N-1 *** develop a mathematical model of distribution networks based on CIM data and transfer it into *** 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 *** validate our approach through a series of case studies and demonstrate its scalability and superiority over traditional N-1 analysis and heuristic optimization *** enabling online N-1 analysis,our approach significantly improves the work efficiency of distribution network *** summary,our proposed method provides a valuable tool for distribution network planners to enhance the accuracy and efficiency of their N-1 *** 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

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