Using the Particle Swarm Optimization Model to Evaluate the Wind Power Enterprise Development Ability under Low-Carbon Economy Environment

Abstract

Electricity is the basic industry in China, which has the important strategic significance to maintain the social stability, ensure the national security and promote the economic development. With the rapid development of power market reform and the establishment of bidding for access mechanism, the competition among the power generation enterprises becomes much drastic. To evaluate the development ability of wind power enterprises in the power new energy, the authors proposed a novel particle swarm optimization (PSO) algorithm, which used the randomness, the rapidity and the global characteristics to obtain the pheromone distribution, and had the faster convergence velocity. The development ability evaluation of 12 wind power enterprises showed that the results given by this model were reliable, and it is feasible to evaluate the development ability using this method.