基于AI技术的电网业务智慧调度分配模型研究

Research on intelligent dispatching and distribution model of power grid business based on AI technology

为有效提高电网业务调度效率,提出利用AI算法技术提高调度系统的业务调度,根据处理开销以及延时电网业务的调度策略,建立基于AI技术算法的调度分配模型。仿真实验结果表明,随着电网业务数量的增加,平均延时逐渐增加。当业务数量为70时,AI算法与随机森林算法、深度学习算法的延时时间分别为92 ms、156 ms、212 ms。AI算法的准确率随着系统容量增加而迅速提高,最大准确率高达99.3%。当迭代次数为50次时,AI算法的计算时间为300 ms,较随机森林算法及深度学习算法分别降低37.5%、28.57%。

To effectively improve the efficiency of power grid business scheduling,AI algorithm technology was pro⁃posed to improve the service scheduling of the dispatching system,and a dispatching and distribution model based on AI technology algorithm was established according to the scheduling strategy of processing overhead and delayed power grid business.The simulation experiment results showed that as the number of power grid services increases,the average delay gradually increased.When the number of services was 70,the delay times of AI algorithm,ran⁃dom forest algorithm,and deep learning algorithm were 92 ms,156 ms,and 212 ms,respectively.The accuracy of AI algorithm increased rapidly with the increase of system capacity,with a maximum accuracy of 99.3%.When the number of iterations was 50,the calculation time of the AI algorithm was 300 ms,which was 37.5%and 28.57%low⁃er than the random forest algorithm and deep learning algorithm,respectively.