A Distributed and Parallell Computing Framwork for SCADA Application in Power System

This work analyses the features of distributing and parallelizing the SCADA(Supervisory control and data acquisition) tasks with power system applications. All the approaches to distribute & parallelize the tasks strive against its data structure and its real-time nature. A distributed --memory/task parallel process has been designed through a time-driven master-slave communication service. The service allows to introduce a task balancing scheme that try to hide the non-homogeneous work load nature of the involved single tasks. Simulation results obtained from PVM-based Megabit Ethernet implementation prove the efficiency of the communication and balancing load.