论文标题
在线电源系统参数估计和最佳操作
Online power system parameter estimation and optimal operation
论文作者
论文摘要
将可再生能源集成到电网中，要求基于优化的控制方案需要可靠的网格模型。通常，通常将基于参数的估计和基于优化的控制被解耦，从而导致估计过程中的高系统操作成本。目前的工作提出了一种基于实验最佳设计的方法，同时最大程度地降低网格操作成本并最佳估算线路参数。与标准的最佳功率流和最大样本估计相比，此方法可实现最佳估计的成本和更高准确性的成本降低。我们说明了基准系统上提出的方法的性能。
The integration of renewables into electrical grids calls for optimization-based control schemes requiring reliable grid models. Classically, parameter estimation and optimization-based control is often decoupled, which leads to high system operation cost in the estimation procedure. The present work proposes a method for simultaneously minimizing grid operation cost and optimally estimating line parameters based on methods for the optimal design of experiments. This method leads to a substantial reduction in cost for optimal estimation and in higher accuracy in the parameters compared with standard Optimal Power Flow and maximum-likelihood estimation. We illustrate the performance of the proposed method on a benchmark system.
