A power system nonlinear adaptive decentralized controller design

Practical nonlinear excitation control for a single-machine infinite-bus power system based on a detailed model

“…For multi-machine power systems, interconnections are necessary to be considered for decentralized controller design (Yan et al, 2010). Future work can be focused toward the extension of the proposed method to the multi-machine case.…”

“…Due to the intrinsic nonlinear characteristics of power systems, the studies on nonlinear control methods have been paid attentions, and there are many successful applications for the design of power system controllers, such as generator excitation control (Galaz, Ortega, Bazanella, & Stankovic, 2003;Shen, Mei, Lu, Hu, & Tamura, 2003;Yan, Dong, Saha, & Majumder, 2010). To the best knowledge of the authors, most of the existing results are model-based nonlinear control strategies (Dimirovski, Jing, Li, & Liu, 2006;Fu, Zhao, & Dimirovsk, 2006;Mei, Shen, & Liu, 2008;Sun, Tong, & Liu, 2011;Sun, Zhao, & Dimirovski, 2009;Wan, Zhao, & Dimirovski, 2014), thus, the mathematical models of power systems play an important and fundamental role in the control design for power systems.…”

Decentralized multi-machine power system excitation control using continuous higher-order sliding mode technique

“…d 2i is composed of measuring errors of E 0 qi , I di , X di , X 0 di , interconnected terms and the modeling errors. In real-time operation of multi-machine power system, the variations of these uncertainties are generally slow and continuous [28], except for some extreme cases such as a sudden changing load current. Then the lumped uncertainties d i are twice differentiable and can satisfy j € d i j < D 2i with D 2i unknown constant.…”

“…In order to implement the continuous HOSM excitation controller (11), the parameters x i , d i , E 0 qi , I di , I qi , _ I qi are used, In the power systems, P ei , Q ei , I fi V ti and x i are readily measurable variables [28].…”

Design of model predictive controllers for adaptive damping of inter-area oscillations

“…However, it is difficult for the MOR-based controllers to adapt to large changes in system operating conditions because of the fixed parameters they have employed. To overcome inherent shortcomings of conventional damping controllers, robust controllers [6,7] and adaptive controllers [8,9] have been developed from two different points of view to enhance robustness and to adapt wide range of operating conditions of power system.…”