电网调度自动化的任务服务模型和调度算法研究

Study on Task Service Model and Scheduling Algorithm in Electric Power Automatization

电网调度自动化是确保电力系统安全、稳定、可靠运行的重要手段,调度中心任务的处理效率将会直接影响到整个系统的性能.本文针对电网调度中心的实时任务特点,提出了一种高可靠的分布式动态镜像服务模型,并在此模型基础上实现了一种基于预测的任务调度算法-动态模糊调度DFS(Dynamic Fuzzy Scheduling)算法,此算法的调度依据是经过模糊变换后的资源调度决策集.对系统的模拟测试结果表明其具有良好的响应特性、服务能力和可靠性,比基于RT-SADS算法进行调度的系统在性能上有较大的改善.

Electric power automatization is the most important approach that can ensure electric power system running safely, steadily and reliably and the task scheduling efficiency of which greatly affects on the performance of system. This paper analyzed the real-time task characteristics of electric power automatization scheduling center and presented a new distributed dynamic mirror service model. Furthermore, based on these work, we presented a new scheduling algorithm---dynamic fuzzy scheduling (DFS) algorithm whose base is the fuzzy decision-making set that comes from fuzzy transform. The emulation results show that the DFS system owns excellent response characteristic, service capability and reliability, and has a great improvement compared with RT-SADS system.