An AHP based optimized tuning of Modified Active Disturbance Rejection Control: An application to power system load...

Area of Science:

• Control Engineering
• Power Systems
• Optimization Techniques

Background:

• Traditional control methods struggle with complex power system dynamics, uncertainties, and disturbances.
• Tuning control parameters for systems like load frequency control (LFC) is challenging and often requires expert knowledge.
• Active Disturbance Rejection Control (ADRC) offers a promising framework, but systematic tuning remains an issue.

Purpose of the Study:

• To present a Modified Active Disturbance Rejection Control (MADRC) scheme.
• To develop a systematic procedure for tuning MADRC parameters using a multi-objective optimization approach.
• To validate the proposed tuning method's effectiveness in power system load frequency control.

Main Methods:

• Formulating the tuning problem as a constrained multi-objective optimization problem.
• Utilizing Teaching-Learning Based Optimization (TLBO) to optimize individual objective functions derived from weighted sums.
• Employing the Analytical Hierarchy Process (AHP) to select the best set of tuning parameters from multiple optimized solutions.

Main Results:

• Successfully generated five sets of tuning variables through individual optimization using TLBO.
• Identified the optimal tuning parameters using AHP, demonstrating a systematic selection process.
• Validated the MADRC scheme's effectiveness in load frequency control for single-area and multi-area power systems under disturbances, uncertainties, and parameter variations.

Conclusions:

• The proposed MADRC tuning methodology provides a systematic and effective approach for complex control problems.
• The integration of multi-objective optimization (TLBO) and decision-making (AHP) offers a robust framework for controller parameter selection.
• The validated performance in power system LFC highlights the practical applicability and robustness of the developed MADRC scheme.