An Optimization Algorithm for Customer Topological Paths Identification in Electrical Distribution Networks
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arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866910603422990336 |
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| author | Vassallo, Maurizio Leerschool, Adrien Bahmanyar, Alireza Duchesne, Laurine Gerard, Simon Wehenkel, Thomas Ernst, Damien |
| author_facet | Vassallo, Maurizio Leerschool, Adrien Bahmanyar, Alireza Duchesne, Laurine Gerard, Simon Wehenkel, Thomas Ernst, Damien |
| contents | A customer topological path represents the sequence of network elements connecting an MV/LV transformer to a customer. Accurate knowledge of these paths is crucial for distribution system operators (DSOs) in digitalization, analysis, and network planning. This paper introduces an innovative approach to address the challenge of customer topological path identification (TPI) using only the limited and often inaccurate data available to DSOs. Specifically, our method relies only on geographic information system (GIS) data of network elements and the customer to MV/LV transformers connection information. We introduce an integer linear programming (ILP) optimization algorithm designed to identify customer topological paths that closely approximate the real electricity paths. The effectiveness of the proposed approach is demonstrated through its application to both an academic and a real-world electrical distribution network. Results show that the method effectively addresses data inaccuracies and successfully identifies customer topological paths, providing a valuable tool for DSOs in developing accurate digital twins of their distribution networks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_09073 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An Optimization Algorithm for Customer Topological Paths Identification in Electrical Distribution Networks Vassallo, Maurizio Leerschool, Adrien Bahmanyar, Alireza Duchesne, Laurine Gerard, Simon Wehenkel, Thomas Ernst, Damien Systems and Control A customer topological path represents the sequence of network elements connecting an MV/LV transformer to a customer. Accurate knowledge of these paths is crucial for distribution system operators (DSOs) in digitalization, analysis, and network planning. This paper introduces an innovative approach to address the challenge of customer topological path identification (TPI) using only the limited and often inaccurate data available to DSOs. Specifically, our method relies only on geographic information system (GIS) data of network elements and the customer to MV/LV transformers connection information. We introduce an integer linear programming (ILP) optimization algorithm designed to identify customer topological paths that closely approximate the real electricity paths. The effectiveness of the proposed approach is demonstrated through its application to both an academic and a real-world electrical distribution network. Results show that the method effectively addresses data inaccuracies and successfully identifies customer topological paths, providing a valuable tool for DSOs in developing accurate digital twins of their distribution networks. |
| title | An Optimization Algorithm for Customer Topological Paths Identification in Electrical Distribution Networks |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2409.09073 |