具有不同松弛源的可操作三相不可行性Optimization
Actionable Three-Phase Infeasibility Optimization with Varying Slack Sources
摘要：
包括大量分布式能源（DER）和电池电动汽车（BEV）的现代配电网将需要仿真和最优化方法，这些方法可以捕获不可行操作场景下的行为，以评估可靠性。三相不可行性分析（TPIA）通过非凸优化来定位和识别配电馈线中的功率不足区域，所述非凸优化在AC网络约束下注入并随后最小化松弛源。在本文中，我们通过引入操作界限来扩展TPIA框架，以确保现实的，可操作的解决方案。我们将电流，无功功率和磁阻松弛源建模现实世界的资产，并讨论其潜在的用例。我们表明，电压有界的TPIA配方提供了可行的解决方案，高达5360节点的潮流模拟失败或返回低电压的解决方案的现实网络。我们证明了无功功率补偿使用松弛磁阻制定一个不可行的测试案例。
英文摘要：
Modern distribution grids that include numerous distributed energy resources (DERs) and battery electric vehicles (BEVs) will require simulation and optimization methods that can capture behavior under infeasible operating scenarios to assess reliability. A three-phase infeasibility analysis (TPIA) localizes and identifies power deficient areas in distribution feeders via a non-convex optimization that injects and subsequently minimizes slack sources, subject to AC network constraints. In this paper, we extend the TPIA framework by introducing operational bounds to ensure realistic, actionable solutions. We incorporate current, reactive power, and susceptance slack sources to model real-world assets, and discuss their potential use cases. We show that the voltage-bounded TPIA formulations provide actionable solutions for realistic networks of up to 5360 nodes where power flow simulations either fail or return low-voltage solutions. We demonstrate reactive power compensation using the slack susceptance formulation on an infeasible test case.
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