Fuzzy analytic hierarchy process based generation management for interconnected power system

Area of Science:

• Electrical Engineering
• Control Systems
• Optimization Techniques

Background:

• Decision-making involves complex attribute assessment and weight determination.
• Automatic Generation Control (AGC) in two-area power systems (2-APS) requires balancing multiple objectives.
• Existing methods may not adequately handle the multi-attribute nature of AGC optimization.

Purpose of the Study:

• To propose a Fuzzy Analytic Hierarchy Process (FAHP) for determining weights of sub-objective functions in AGC.
• To design a Proportional-Integral-Derivative (PID) controller optimized using these weights.
• To evaluate the performance of the proposed controller against other optimization algorithms.

Main Methods:

• Utilized FAHP, a multi-attribute decision-making (MADM) technique, to assign weights to integral-time-absolute-errors (ITAE) of tie-line power fluctuation, frequency deviations, and area control errors.
• Integrated FAHP-derived weights into a single objective function for PID controller design.
• Employed the Jaya Optimization Algorithm (JOA) for optimizing the objective function, comparing it with Sine Cosine Algorithm (SCA), Luus-Jaakola Algorithm (LJA), Nelder-Mead Simplex Algorithm (NMSA), Symbiotic Organism Search Algorithm (SOSA), and Elephant Herding Optimization Algorithm (EHOA).

Main Results:

• The Jaya Optimization Algorithm (JOA)-based PID controller demonstrated effective performance in automatic generation control under various load conditions.
• Experimental data and statistical analysis, including Friedman rank test, validated the superiority of the JOA-based controller.
• The FAHP method successfully integrated multiple performance criteria into a single objective function for controller optimization.

Conclusions:

• The proposed FAHP-based approach provides an effective framework for optimizing AGC in 2-APS.
• The JOA is a robust optimization algorithm for tuning PID controllers in power systems.
• This study offers a valuable contribution to the field of power system stability and control.