Evaluating China´s electric network intelligence development level base on PSO and SVM method

Smart grid is the latest trends and complexity problems of the whole world power system, it will realize the intelligence communication, optimization electricity production, transmission and promote the restructuring of the whole power industry. It can reduce the poor electricity generation units and continue to promote electricity generation emissions. This paper gives the electric network intelligence developing level evaluation system from the basis size, technology support capability and intelligent application results of smart grid, and a hybrid method which combined with the particle swarm optimization (PSO) method and support vector machines (SVM) classification model is used to evaluate the level. Comparing with BP evaluation model, the experimental results show that PSOSVM has better performance than BP method, it is more suitable for the evaluation.