Power Distribution Network Reconfiguration for Distributed Generation Maximization
This addresses the need for efficient network reconfiguration to increase distributed generation capacity without costly upgrades, though it is incremental as it builds on existing methods with improved accuracy.
The paper tackled the problem of maximizing distributed generation hosting capacity in power networks by jointly optimizing topology and power dispatch, and demonstrated that their exact DistFlow-based method reliably performs reconfiguration within real-time operation time frames.
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.