Improved Fitness-Dependent Optimizer for Solving Economic Load Dispatch Problem

Area of Science:

• Power Systems Engineering
• Optimization Algorithms
• Computational Intelligence

Background:

• Economic Load Dispatch (ELD) is crucial for minimizing power system operating costs, environmental impact, and conserving energy.
• Swarm-based algorithms offer solutions for ELD but often suffer from premature convergence.
• The Fitness-Dependent Optimizer (FDO) is a novel swarm-based algorithm inspired by bee swarming behavior.

Purpose of the Study:

• To apply the Fitness-Dependent Optimizer (FDO) to solve the Economic Load Dispatch (ELD) problem, focusing on reducing fuel cost, emission allocation, and transmission loss.
• To enhance the FDO algorithm with novel population initialization and dynamic weight factor selection for improved performance.

Main Methods:

• An enhanced Fitness-Dependent Optimizer (FDO) variant was developed, incorporating quasi-random Sabol sequence for population initialization.
• Dynamically employed sine maps were used to select the weight factor for guiding search agents during exploitation and exploration.
• The enhanced FDO was tested on a standard 24-unit power system under various load demands.

Main Results:

• The enhanced FDO demonstrated superior performance in minimizing fuel cost, emission allocation, and transmission loss compared to the conventional FDO.
• The study achieved a record low transmission loss of 7.94E-12 using the enhanced FDO.
• Standard estimations confirmed the stability and effectiveness of the enhanced FDO in both exploitation and exploration phases.

Conclusions:

• The enhanced Fitness-Dependent Optimizer (FDO) effectively addresses the Economic Load Dispatch (ELD) problem, offering significant improvements over conventional methods.
• The novel enhancements, including quasi-random initialization and dynamic sine map-based weight selection, contribute to superior optimization capabilities.
• The FDO algorithm shows promise for efficient and stable power system operation optimization.