多机相关电网任务数据的动态分批优化调度算法

Dynamic Batch Optimization Scheduling Algorithm for Multi-machine Related Grid Task Data

传统的动态分批优化调度算法对数据初始分析效果差,调度准确率较低,为解决上述问题,基于多机相关电网任务数据研究了一种新的动态分批优化调度算法,获取多机相关电网任务数据,对数据进行集中标定,保证数据处于系统可操作范围内,实现对数据的精准处理。实验结果表明,多机相关电网任务数据的动态分批优化调度算法能够很好地提高调度准确率,更精准地完成初始分析。

The traditional dynamic batch optimization scheduling algorithm has poor initial data analysis effect and low scheduling accuracy,in order to solve the above problems,a new dynamic batch optimization scheduling algorithm based on multi machine related power grid task data is studied,which can obtain multi machine related power grid task data,calibrate logarithmic data in a centralized way,ensure that the data is in the operational range of the system,and achieve the accuracy of the data processing.The experimental results show that the dynamic batch scheduling algorithm of multi machine related power grid task data can improve the scheduling accuracy and complete the initial analysis more accurately.