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Performance optimization of linear active disturbance rejection control approach by modified bat inspired algorithm
Shahzad Ali1, Guotian Yang1, Congzhi Huang2
1School of Control and Computer Engineering, North China Electric Power University, Beijing, China.
This study introduces a linear active disturbance rejection control approach for wind power systems to maintain grid stability. Optimized using a bat-inspired algorithm, it effectively manages load frequency control despite wind variations and disturbances.
Area of Science:
- Electrical Engineering
- Control Systems
- Renewable Energy Systems
Background:
- Load frequency control (LFC) is critical for power system stability, especially with increasing wind energy penetration.
- Wind power systems, particularly those using doubly fed induction generators, introduce complexities due to variable generation and system uncertainties.
- Maintaining power balance requires robust control strategies that can reject both internal uncertainties and external disturbances.
Purpose of the Study:
- To develop and validate a novel control strategy for load frequency control in single-area wind power systems.
- To enhance the performance and robustness of the control system against dynamic wind variations and system uncertainties.
- To optimize controller parameters using an efficient metaheuristic algorithm for improved stability.
Main Methods:
- Linear Active Disturbance Rejection Control (LADRC) framework utilizing an extended state observer (ESO) for real-time disturbance estimation and compensation.
- A modified bat-inspired algorithm for optimizing the performance index, tuning observer and controller bandwidths.
- Extensive simulations on a single-area power system model with varying wind penetration levels and external disturbances.
- Monte-Carlo simulations to assess robustness against parameter variations.
Main Results:
- The proposed LADRC approach effectively estimates and compensates for total disturbances, including unmodeled dynamics and external factors.
- Controller parameter tuning is simplified through bandwidth optimization, achieved via the bat-inspired algorithm.
- Simulations demonstrate superior performance and robustness compared to conventional Proportional Integral (PI) and Fuzzy-Proportional Integral (Fuzzy-PI) controllers.
- The approach maintains stability and power balance under high wind penetration and parameter uncertainties.
Conclusions:
- The developed LADRC strategy offers an effective solution for load frequency control in wind power systems.
- The bat-inspired algorithm provides an efficient method for optimizing the controller parameters.
- The proposed method demonstrates significant advantages in performance, robustness, and disturbance rejection capabilities over existing control techniques.
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