Parameter-free optimization algorithm effective and precise solution of the optimal power flow problem

Area of Science:

• Computational Intelligence
• Electrical Engineering
• Optimization Algorithms

Background:

• Nature-inspired algorithms offer problem-independent solutions for complex optimization tasks.
• The Optimal Power Flow (OPF) problem involves optimizing power system control variables for various objectives.

Purpose of the Study:

• To introduce and evaluate the Jaya algorithm for solving the Optimal Power Flow (OPF) problem.
• To demonstrate the parameter-free nature and simplicity of the Jaya algorithm.

Main Methods:

• The Jaya optimization algorithm was applied to the Optimal Power Flow (OPF) problem.
• The algorithm was tested on standard power systems: IEEE 30-Bus, 57-Bus, and IEEE 118 Bus systems.
• Results were benchmarked against existing optimization techniques.

Main Results:

• The Jaya algorithm demonstrated effectiveness in solving the OPF problem.
• Application to the IEEE 30-bus system resulted in an approximate 11.31% reduction in fuel cost.
• The parameter-free characteristic simplifies implementation and avoids complex tuning.

Conclusions:

• The Jaya algorithm is a powerful and efficient tool for tackling the Optimal Power Flow (OPF) problem.
• Its simplicity and effectiveness make it a competitive alternative to other optimization methods.
• The study confirms the potential of Jaya for improving power system operations.