Load–Frequency Control Using Multi-objective Genetic Algorithm and Hybrid Sliding Mode Control-Based SMES

2017 ◽  
Vol 20 (1) ◽  
pp. 280-294 ◽  
Author(s):  
Mehrshad Khosraviani ◽  
Mohsen Jahanshahi ◽  
Mohsen Farahani ◽  
Amir Reza Zare Bidaki
Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6509
Author(s):  
Van Van Huynh ◽  
Phong Thanh Tran ◽  
Bui Le Ngoc Minh ◽  
Anh Tuan Tran ◽  
Dao Huy Tuan ◽  
...  

The implementation of the sliding mode control (SMC) for load frequency control of power networks becomes difficult due to the chattering phenomenon of high-frequency switching. This chattering problem in SMC is extremely dangerous for actuators used in power systems. In this paper, a continuous control strategy by combining a second-order mode and integral siding surface is proposed as a possible solution to this problem. The proposed second-order integral sliding mode control (SOISMC) law not only rejects chattering phenomenon in control input, but also guarantees the robustness of the multi-area power network, which has an effect on parametric uncertainties such as the load variations and the matched or mismatched parameter uncertainties. Moreover, the reporting of the simulation indicates that the proposed controller upholds the quality requirement by controlling with operating conditions in the larger range, rejects disturbance, reduces the transient response of frequency, eliminates the overshoot problem, and can better address load uncertainties compared to several previous control methods. The simulation results also show that the proposed SOISMC can be used for practical multi-area power network to lessen high parameter uncertainties and load disturbances.


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