Robust Delay-Dependent Load Frequency Control of Wind Power System Based on a Novel Reconstructed Model

Area of Science:

• Electrical Engineering
• Control Systems
• Power Systems

Background:

• Load frequency control (LFC) is crucial for maintaining grid stability.
• Integrating renewable energy sources like wind power introduces complexities, including time delays and variability.
• Traditional PID controllers can be computationally intensive and challenging to tune under these conditions.

Purpose of the Study:

• To develop a novel reconstructed model for delayed LFC schemes that enhances computational efficiency.
• To retain the dynamic performance of PID controllers while improving stability analysis.
• To provide a method for efficiently determining controller gains and analyzing stability, even when controllers are unknown.

Main Methods:

• A novel reconstructed model is proposed by exploiting system states influenced by time delays.
• The model allows for controller isolation, enabling stability criteria to be established independently.
• Case studies are performed on two-area and three-area LFC systems in traditional and deregulated environments.

Main Results:

• The reconstructed model accurately estimates the influence of time delays on system frequency stability.
• Computational efficiency for obtaining controller parameters is significantly improved.
• The controller's robustness against wind power fluctuations, tie-line power changes, and inertial reductions is maintained.

Conclusions:

• The novel reconstructed model offers a computationally efficient approach to LFC.
• It provides a reliable method for stability analysis and controller tuning in complex power systems.
• The model effectively addresses challenges posed by time delays and renewable energy integration.