Research on Power System Cost Model with Wind Power Based on Simulated Annealing and Genetic Algorithm

The power system cost model include wind turbine were studied by using simulated annealing genetic algorithm. The advantages and disadvantages of genetic algorithm were presented. Annealing algorithm was improved using the Simulated Annealing. The power system cost model include a wind turbine was established, and the example case was analyzed by using simulated annealing genetic algorithm. The calculation was elucidated, demonstrating that with the wind power generation cost coefficient decreasing, the increase of wind power generating capacity will reduce the cost of power systems, and the existence of environmental costs of thermal power will be advantage to wind power.