大型电力DCS控制系统中的优化任务调度模型  

Optimization Task Scheduling Model in DCS Control System of Large-scale Electric Power

作　　者：蔡红梅[1] 张转芳[2] 张光利 

机构地区：[1]集宁师范学院计算机系,内蒙古乌兰察布012000 [2]齐齐哈尔大学化学与化学工程学院,黑龙江齐齐哈尔161006 [3]乌兰察布中联水泥有限公司,内蒙古乌兰察布012000

出　　处：《计算机仿真》2015年第11期161-163,332,共4页Computer Simulation

基　　金：内蒙古自治区高等学校科学研究项目(NJZY286)

摘　　要：在对大型电力DCS(分布式控制系统)系统优化任务调度建模时,因其具有开放性和分散性,对划分任务能力大小和任务关联任务集产生非线性干扰。采用传统的优化任务调度方法时,模型中的元胞演化规则受到干扰影响,使任务调度目标模型不明确,导致无法有效实现任务调度。提出基于元胞自动机的大型电力DCS控制系统中的鲁棒优化任务调度模型,通过任务能力矩阵体现出每个设计单元完成任务能力的大小,确定任务关联矩阵,合并任务集,构成一个元胞单元,对每个元胞进行演化,给出控制系统任务调度的目标模型,并且对其进行鲁棒优化,有效实现大型电力DCS控制系统中的优化任务调度。仿真结果表明,改进方法具有很高的鲁棒性。In the modeling of optimization task scheduling for distributed control system （DCS） of large-scale electric power, because of its openness and dispersibility, the nonlinear interference on the division of the size of task ability and the association of task and task set is created. By using the traditional optimization task scheduling method, the cellular evolution rule in the model is affected by the interference, which makes that the target model of the task scheduling is not clear, leading to the failure to effectively achieve the task scheduling. In the paper, robust optimization task scheduling model in DCS control system of large-scale electric power was proposed based on cellular automaton. Through the task capability matrix, the size of task ability fulfilled by each design unit was reflected to de- termine the task incidence matrix and combine the task set and constitute a cellular element. Every cell was evolved, and the target model of task scheduling of control system was given to make robust optimization. Finally, the optimization task scheduling in the DCS control system of large-scale electric power was realized. The simulation results show that the improved method has high robustness.

关 键 词：电力 控制系统 任务调度 

分 类 号：TH128[机械工程—机械设计及理论]