Data-driven wide-area damping controller design based on improved model-free adaptive control for interconnected power systems

Abstract

With the large-scale integration of wind farms into power grids, the problem of inter-area oscillations (IAO) in interconnected power systems may become more serious. However, the original model-based wide-area damping control (WADC) is hard to effectively suppress the IAO mode. In this paper, an improved model-free adaptive control (MFAC) algorithm is proposed to design data-driven WADC for the multiple IAO modes control. The improved MFAC algorithm uses full-form dynamic linearization technique to linearize the power system dynamically and a step-size vector is designed to adjust the pseudo-partial derivative vector and make the algorithm more flexible. Simulations results based on New England ten machine 39-bus system with the integration of wind farms verify that the improved MFAC based WADC can effectively damp multiple IAO modes simultaneously. Compared with the original MFAC algorithm and conventional wide area damping controllers, the step-size vector make the improved MFAC algorithm have better damping performance. And compared with the single IAO mode control, the multiple IAO modes control has superiority on the suppression of low frequency oscillations.