A Hybrid Firefly-JAYA Algorithm for the Optimal Power Flow Problem Considering Wind and Solar Power Generations

Optimal power flow (OPF) is widely used in power systems. This problem involves adjusting variables such as online capacity, generator output, power stability, and bus voltage to reduce production costs. This paper presents HFAJAYA, a combined evolution method using the Firefly and JAYA algorithms to solve the OPF problem effectively and efficiently. While considering renewable energy, including solar energy and wind energy systems, the problem is regarded as a single-objective and multi-objective function. It considers power losses, emissions, emissions taxes, the total cost of fuel, and voltage deviation as objective functions of the problem. I have successfully implemented all simulations with different scenarios on a standard 30-bus IEEE network. A comparison of the results obtained from the HFAJAYA simulation with results from other well-known works has been undertaken to confirm the efficiency of the recommended HFAJAYA method.

Automated summary

This paper presents a method combining the firefly algorithm and JAYA algorithm to effectively solve the optimal power flow (OPF) problem. The method considers renewable energy and multiple objective functions, and simulations on a 30-bus IEEE network validate its efficiency.