Research on Economic Load Dispatch Problem of Microgrid Based on an Improved Pelican Optimization Algorithm

Area of Science:

• Engineering
• Computer Science
• Optimization Algorithms

Background:

• The economic load dispatch (ELD) problem is crucial for optimizing power plant operations and minimizing fuel costs.
• Traditional optimization algorithms face challenges in efficiently solving complex, high-dimensional ELD problems.
• Population diversity and escaping local optima are key issues in metaheuristic optimization for ELD.

Purpose of the Study:

• To introduce an Improved Pelican Optimization Algorithm (IPOA) for solving the economic load dispatch problem.
• To enhance the population diversity and global search capabilities of the pelican optimization algorithm.
• To improve the convergence speed and ability to escape local optima in optimization for power systems.

Main Methods:

• Integration of the vertical crossover operator from the crisscross optimization algorithm to increase population diversity.
• Introduction of an optimal individual to guide population search and incorporate disturbance factors for escaping local optima.
• Adoption of a dimensional variation strategy to refine the optimal individual and accelerate convergence.

Main Results:

• The IPOA demonstrated significant reductions in coal consumption compared to the standard Pelican Optimization Algorithm (POA).
• Tested on 10, 40, and 80-dimensional thermal power plant units, IPOA achieved coal consumption reductions of 0.0292%, 2.7273%, and 3.6739%, respectively.
• The IPOA effectively reduced the overall fuel cost for power plants.

Conclusions:

• The IPOA is a highly effective optimization algorithm for the economic load dispatch problem.
• The enhancements made to the pelican optimization algorithm significantly improve its performance in terms of efficiency and solution quality.
• IPOA offers a promising approach for reducing operational costs and environmental impact in the power industry.