Event‐triggered load frequency control for multi‐area power systems based on Markov model: a global sliding mode control approach
Xinxin Lv, Yonghui Sun, Shiqi Cao, Venkata Dinavahi
Abstract
In this study, a new method is put forward for the stability and stabilisation analysis of the event‐triggered load frequency control (LFC) with interval time‐varying delays, considering the global sliding mode controller. To lighten the network bandwidth and save more limited networked resources, the event‐triggered scheme is optimised through quantum genetic algorithm, according to different circumstances. Additionally, global sliding mode control (GSMC) scheme is proposed to provide stronger robustness performance, which against the frequency deviation caused by power unbalance or transmission time delays better. Based on the proposed schemes, multi‐area LFC for the power system model is formulated as a Markov jump linear system model, considering transmission time delays and external disturbances. By applying improved Lyapunov stability theory, criteria about the stability and stabilisation conditions for multi‐area power system can be deduced in terms of linear matrix inequality. Finally, to validate a more realistic LFC application, the proposed event‐triggered GSMC is also deployed on Kundur's two‐area test system. Simulation studies are carried out to illustrate the effectiveness and superiority of the developed schemes.