论文标题
分配系统中高保真电压解决方案的参数化线性功率流
Parameterized Linear Power Flow for High Fidelity Voltage Solutions in Distribution Systems
论文作者
论文摘要
本文引入了一种新的模型，用于高度准确的分布电压解决方案，这是作为参数化的线性功率流模型所创造的。所提供的模型基于线性功率流程方程的物理模型，并使用学习辅助参数化来增加在广泛的工作点上的电压解决方案的保真度。为此，参数化方法的封闭形式的分析解决方案是通过高斯工艺使用故意的小输入样本获得的，而无需重新计算。由此产生的“自调整”参数是系统特异性的，并根据加载条件来控制所提出的功率流程方程的准确性。在所得参数的一定值下，所提出的模型可以完全恢复径向分布系统的专用分支流模型的线性化公式，即所谓的简化散发模型。提供了数值示例，以说明所提出的模型的有效性以及在简化的散发器模型和其他几种线性功率流模型（在多个加载水平上）的电压幅度的提高。模拟在六个中小型测试系统上进行。
This paper introduces a new model for highly accurate distribution voltage solutions, coined as a parameterized linear power flow model. The proffered model is grounded on a physical model of linear power flow equations, and uses learning-aided parameterization to increase the fidelity of voltage solutions over a wide range of operating points. To this end, the closed-form analytic solution of the parameterization approach is obtained via a Gaussian Process using a deliberately small input sample and without the need for recomputation. The resulting "self-adjusting" parameter is system-specific and controls how accurate the proposed power flow equations are according to loading conditions. Under a certain value of the resulting parameter, the proposed model can fully recover the linearized formulation of a specialized branch flow model for radial distribution systems, the so-called simplified DistFlow model. Numerical examples are provided to illustrate the effectiveness of the proposed model as well as the improvement in solution accuracy for voltage magnitudes over the simplified DistFlow model and several other linear power flow models, at multiple loading levels. Simulations were carried out on six small- and medium-sized test systems.
