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Cloud-based parallel power flow calculation using resilient distributed datasets and directed acyclic graph
Journal of Modern Power Systems and Clean Energy
With the integration of distributed generation and the construction of cross-regional long-distance power grids, power systems become larger and more complex. They require faster computing speed and better scalability for power flow calculations to support unit dispatch. Based on the analysis of a variety of parallelization methods, this paper deploys the large-scale power flow calculation task on a cloud computing platform using resilient distributed datasets (RDDs). It optimizes a directeddoi:10.1007/s40565-018-0406-4 fatcat:i2aovy6tlrho7hyl4tqqiu245a