Multidimensional Optimal Power Flow with Voltage Profile Enhancement in Electrical Systems via Honey Badger Algorithm

Area of Science:

• Electrical Engineering
• Computational Intelligence
• Optimization Algorithms

Background:

• The Optimal Power Flow (OPF) problem is crucial for efficient and reliable operation of modern electrical power systems.
• Existing optimization methods like Particle Swarm Optimization (PSO) and Gray Wolf Optimization (GWO) have limitations in addressing complex OPF challenges.
• Balancing economic objectives (fuel cost) and operational quality (voltage deviation) remains a significant challenge in power system management.

Purpose of the Study:

• To introduce and evaluate a novel metaheuristic algorithm, Honey Badger Optimization (HBO), for solving the OPF problem.
• To compare the performance of HBO against established algorithms like PSO and GWO in terms of fuel cost reduction and voltage deviation minimization.
• To investigate the multi-objective capabilities of HBO for balancing competing economic and voltage quality objectives in power systems.

Main Methods:

• Developed the Honey Badger Optimization (HBO) algorithm, inspired by honey badger foraging behavior, featuring distinct exploration and exploitation stages.
• Formulated the OPF problem with objectives of fuel cost minimization and voltage deviation reduction, considering operational constraints.
• Applied HBO to the IEEE 30-bus test system for single-objective and multi-objective optimization analyses.

Main Results:

• HBO demonstrated superior performance in reducing fuel cost and enhancing voltage profiles compared to PSO and GWO.
• Achieved significant improvements in voltage deviation, with HBO outperforming GWO by 38.5% and PSO by 22.78%.
• Successfully generated a comprehensive Pareto front for multi-objective OPF, illustrating the trade-offs between fuel cost and voltage deviation.

Conclusions:

• Honey Badger Optimization (HBO) is a highly effective and robust tool for solving complex OPF problems in electrical power systems.
• HBO offers significant advantages over existing methods in improving system economics and voltage stability.
• The multi-objective capability of HBO provides valuable insights for system operators to manage competing objectives and make informed decisions.