Power Distribution Network Reconfiguration for Distributed Generation Maximization
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866908948383137792 |
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| author | Sou, Kin Cheong Malmer, Gabriel Thorin, Lovisa Samuelsson, Olof |
| author_facet | Sou, Kin Cheong Malmer, Gabriel Thorin, Lovisa Samuelsson, Olof |
| contents | Network reconfiguration can significantly increase the hosting capacity (HC) for distributed generation (DG) in radially operated systems, thereby reducing the need for costly infrastructure upgrades. However, when the objective is DG maximization, jointly optimizing topology and power dispatch remains computationally challenging. Existing approaches often rely on relaxations or approximations, yet we provide counterexamples showing that interior point methods, linearized DistFlow and second-order cone relaxations all yield erroneous results. To overcome this, we propose a solution framework based on the exact DistFlow equations, formulated as a bilinear program and solved using spatial branch-and-bound (SBB). Numerical studies on standard benchmarks and a 533-bus real-world system demonstrate that our proposed method reliably performs reconfiguration and dispatch within time frames compatible with real-time operation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_11332 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Power Distribution Network Reconfiguration for Distributed Generation Maximization Sou, Kin Cheong Malmer, Gabriel Thorin, Lovisa Samuelsson, Olof Optimization and Control Systems and Control Network reconfiguration can significantly increase the hosting capacity (HC) for distributed generation (DG) in radially operated systems, thereby reducing the need for costly infrastructure upgrades. However, when the objective is DG maximization, jointly optimizing topology and power dispatch remains computationally challenging. Existing approaches often rely on relaxations or approximations, yet we provide counterexamples showing that interior point methods, linearized DistFlow and second-order cone relaxations all yield erroneous results. To overcome this, we propose a solution framework based on the exact DistFlow equations, formulated as a bilinear program and solved using spatial branch-and-bound (SBB). Numerical studies on standard benchmarks and a 533-bus real-world system demonstrate that our proposed method reliably performs reconfiguration and dispatch within time frames compatible with real-time operation. |
| title | Power Distribution Network Reconfiguration for Distributed Generation Maximization |
| topic | Optimization and Control Systems and Control |
| url | https://arxiv.org/abs/2406.11332 |