Abstract
According to rapid assessment requirement of system protection control strategy adaptability in future operation mode, combining with application status of distributed computing for power system security and stability analysis, based on design idea of asynchronism and concurrency, this paper proposes a multi-scheme concurrent computing framework suitable for coarse-grained case parallelism. By the way of multi-data section parallel, the asynchronous and concurrent scheduling management of computing task of multiple application functions under different sections is realized, which effectively improves the utilization rate of computing resources and significantly reduces the computing period of advance evaluation of system protection control strategy adaptability. The technology has been applied in provincial power grid and its effectiveness has been verified.
Highlights
Due to the disadvantages of traditional safety prevention and control, such as single control measure, lack of overall consideration, lack of coordination control and difficulty in effectively dealing with cascading faults
In response to serious faults such as UHV DC blocking, the safe operation of power grid is faced with great risks [1]
In order to meet the requirement of rapid assessment of system protection control strategy adaptability in future operation mode, based on the design idea of asynchronism and concurrency, this paper proposes a multi-scheme concurrent computing framework suitable for coarsegrained case parallelism
Summary
Due to the disadvantages of traditional safety prevention and control, such as single control measure, lack of overall consideration, lack of coordination control and difficulty in effectively dealing with cascading faults. In order to meet the rapid assessment requirement of the system protection control strategy adaptability, it is necessary to further improve the speed of parallel computation of security and stability analysis, the flexibility of calculation process definition and the extensibility of application functions. It is required to further optimize the interaction mechanism between the application server and the computer cluster as well as the computing management mechanism inside the computer cluster, so as to reduce the idle and waiting time of the computer cluster and further improve the computing efficiency of the computer cluster. The computing period of advance evaluation of system protection control strategy adaptability is reduced significantly under the condition of constant computing resources
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