Analysis and Application of Improved Genetic Algorithm in Voltage Optimization and Control System Carbon Saving Strategy

The demand for efficient, stable operation, environmental protection in the power system is growing steadily. This paper employs an improved genetic algorithm method (IGA) which is an optimization method imitating the process of biological evolution. IGA improves the encoding, selection, crossover, and mutation operations of traditional genetic algorithms to enable it to find the global optimal solution during the search process more effectively. The experimental results indicate that IGA is quite good at extreme reduction in environmental impact, with a maximum of 3.9kgCO2e, and extreme efficiency of 9.37kgoe, at the lowest cost of just ${\$}$556. For the key indicators of extreme environmental impact, extreme efficiency and extreme cost, IGA performed very well, improving the genetic algorithms as an effective tool for voltage optimization and carbon saving strategies in power systems. This is a sign of the future development of the power industry in a more environmentally friendly and economical direction.