Pole Placement Technique Optimized Gains by Adaptive Tabu Search for Instability Mitigation of AC–DC Power System Feeding a Controlled Buck Converter

Power converters with tightly regulations are known to behave as constant power loads, which can degrade the stability of the system. Therefore, system stabilization using the pole placement technique, in which the feedback gains are optimized by the adaptive Tabu search (ATS) algorithm, is introduced in this paper. Additionally, the averaging model of the power converter is used to compute the system response and eigenvalues during the searching process. Therefore, better output responses can be provided by the resulting feedback gains than those designed by the conventional method. Moreover, the application of the pole placement technique designed by the ATS algorithm confirms the operation of the system under stable conditions. The effectiveness of the proposed design technique is verified using simulation and experimental results.