Ill-Conditioned Power Flow Analysis Using a Quantized State-Based Approach
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866915830452715520 |
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| author | Huang, Liya Milano, Federico Tzounas, Georgios |
| author_facet | Huang, Liya Milano, Federico Tzounas, Georgios |
| contents | This paper focuses on power flow analysis through the lens of the Newton flow, a continuous-time formulation of Newton's method. Within this framework, we explore how quantized-state concepts, originally developed as an alternative to time discretization, can be incorporated to govern the evolution of the Newton flow toward the power flow solution. This approach provides a novel perspective on adaptive step-size control and shows how state quantization can enhance robustness in illconditioned cases. The performance of the proposed approach is discussed with the ACTIVSg70k synthetic test system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_02412 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Ill-Conditioned Power Flow Analysis Using a Quantized State-Based Approach Huang, Liya Milano, Federico Tzounas, Georgios Systems and Control This paper focuses on power flow analysis through the lens of the Newton flow, a continuous-time formulation of Newton's method. Within this framework, we explore how quantized-state concepts, originally developed as an alternative to time discretization, can be incorporated to govern the evolution of the Newton flow toward the power flow solution. This approach provides a novel perspective on adaptive step-size control and shows how state quantization can enhance robustness in illconditioned cases. The performance of the proposed approach is discussed with the ACTIVSg70k synthetic test system. |
| title | Ill-Conditioned Power Flow Analysis Using a Quantized State-Based Approach |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2603.02412 |