论文标题
可操作的三相不可行的优化，可通过不同的松弛来源进行优化
Actionable Three-Phase Infeasibility Optimization with Varying Slack Sources
论文作者
论文摘要
现代分销网格包括许多分布式能源资源（DER）和电池电动汽车（BEV）将需要模拟和优化方法，这些方法可以在不可行的操作场景下捕获行为以评估可靠性。三阶段的不可行分析（TPIA）通过非凸优化来定位并识别分配馈线中的功率不足区域，该优化将受到AC网络约束的注入和最小化的松弛源。在本文中，我们通过引入操作界限来确保现实，可操作的解决方案来扩展TPIA框架。我们结合了当前的，反应性的功率和敏感性松弛源来建模现实世界中的资产，并讨论其潜在用例。 我们表明，由电压结合的TPIA公式为最高5360个节点的现实网络提供了可行的解决方案，其中功率流仿真失败或返回低压解决方案。我们使用在不可行的测试案例上使用松弛感的表述来证明反应性功率补偿。
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.
