This paper deeply analyzes the influential factors for line loss rate,studies present line loss rate prediction methods,uses particle swarm algorithm to optimize the parameters of support vector machine,sets up support vector machine prediction model based on particle swarm optimization to simulate theoretical line loss rate prediction in order to provide guarantee for reducing line loss rate and highly-efficient utilization of power and finally uses sample experiment to verify the accuracy of this model in theoretical line loss rate prediction.