| Title | Model-free Adaptive Sliding Mode Control for Interconnected Power Systems under DoS Attacks |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Chen, Zongyao, Bu, Xuhui, Guo, Jinli |
| Conference Name | 2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) |
| Keywords | Adaptation models, Adaptive systems, Data models, DoS attacks, frequency control, i-o systems security, interconnected power systems, load frequency control, Model-free adaptive control, Power system dynamics, power system stability, pubcrawl, Scalability, sliding mode control, Stability analysis |
| Abstract | In this paper, a new model-free adaptive sliding mode load frequency control (LFC) scheme is designed for inter-connected power systems, where modeling is difficult and suffers from load change disturbances and denial of service (DoS) attacks. The proposed algorithm only uses real-time I/O data of the power system to achieve a high control performance. Firstly, the dynamic linearization strategy is used to build a data-based model of the power system, and intermittent DoS attacks are modeled by limiting their duration and frequency. Secondly, the model-free adaptive sliding mode control (MFASMC) scheme is designed based on optimization theory and sliding mode reaching law, and its stability is analyzed. Finally, the three-area interconnected power system was selected to test the presented MFASMC scheme. Simulation data shows the effectiveness of the LFC algorithm in this paper. |
| DOI | 10.1109/DDCLS55054.2022.9858367 |
| Citation Key | chen_model-free_2022 |
Model-free Adaptive Sliding Mode Control for Interconnected Power Systems under DoS Attacks