透過您的圖書館登入
IP:3.140.207.79
  • 期刊

Sliding Mode Robust Load Frequency Control based on Fuzzy Rules

摘要


A sliding mode control method combining with fuzzy rules is proposed in this paper, the primary target of the controller is to reduce frequency fluctuation of power system caused by uncertain factors in ship navigation. The sliding mode compensation controller is designed based on fuzzy rules to approximate the unknown disturbance. the and the parameters is optimized by H∞theory. The performance of the designed controller is evaluated by utilizing simulation software. Simulation results show, compared with the traditional proportional integral controller, that the proposed sliding mode controller can effectively suppress the system frequency fluctuation, has lower frequency overshoot and faster frequency recovery. It can suppress the parameter uncertainty and the influence of disturbance on the system, which will ensure the system run stably and have good robustness performance.

參考文獻


F. Liu, Y. Li, Y. Cao, J. She and M. Wu, "A Two-Layer Active Disturbance Rejection Controller Design for Load Frequency Control of Interconnected Power System," IEEE Transactions on Power Systems, vol.31(2016), 3320-3321.
PARK H, SUN J, PEKAREK S, et al. Real-time model predictive control for shipboard power manage⁃ ment using the IPA-SQP approach. IEEE Transactions on Control Systems Technology, vol.23(2015), 2129-2143.
Pahasa J,Ngamroo I,Coordinated Control of Wind Turbine Blade Pitch Angle and PHEVs Using MPCs for Load Frequency Control of Microgrid, IEEE Systems Journal,vol.10(2010), 97-105
Khooban M H, Dragicevic T, Blaabjerg F, et al. "Coordinated Control of Wind Turbine Blade Pitch Angle and PHEVs Using MPCs for Load Frequency Control of Microgrid," IEEE Systems Journal, vol.10(2018), 97-105.
BEVRANI H,FEIZI M R,ATAEE S. Robust frequency control in an islanded microgrid:H ∞ and μ-synthesis approaches. IEEE Transactions on Smart Grid, vol.7(2016), 706-717.

延伸閱讀