Optimal design of CDM controller to frequency control of a realistic power system equipped with storage devices using...

Area of Science:

• Electrical Engineering
• Control Systems
• Power Systems

Background:

• Load Frequency Control (LFC) is crucial for maintaining stable power system operation.
• Realistic power systems exhibit nonlinearities such as generation rate constraint (GRC), governor dead band (GDB), and time delay (TD).
• Redox flow batteries (RFB) offer potential for enhancing power system stability and control.

Purpose of the Study:

• To propose a novel, robust LFC technique for a three-area thermal power system.
• To optimize the coefficient diagram method (CDM) controller design using a new hybrid intelligent approach.
• To address system nonlinearities and parameter uncertainties for improved LFC performance.

Main Methods:

• Developed a decentralized CDM technique integrated with optimization through algebraic equations.
• Employed the grasshopper optimization algorithm (GOA) for the first time to tune LFC controller parameters.
• Utilized a modified objective function incorporating integral of time multiplied squared error (ITSE) for ACE and actuator output, settling time, and minimum damping ratio (MDR).

Main Results:

• The proposed optimal CDM technique demonstrated superior performance in LFC compared to other strategies.
• The controller effectively handled significant load perturbations (step and sinusoidal) and parameter uncertainties.
• Integration with RFB further enhanced the robustness and effectiveness of the proposed LFC scheme.

Conclusions:

• The novel LFC strategy provides a flexible, accurate, and mathematically robust controller.
• It successfully mitigates the impact of GRC, GDB, and TD nonlinearities in uncertain power systems.
• The proposed method ensures fast, stable, and robust dynamic responses, suitable for real-world power system applications.