Parallel domain decomposition based distributed state estimation for large-scale power systems
作者： Hadis Karimipour , Venkata Dinavahi
DOI: 10.1109/ICPS.2015.7266420
关键词:
摘要: Growing system sizes and complexity, along with the large amount of data provided by phasor measurement units (PMUs), are drivers to accurate state estimation algorithms for online monitoring operation power systems. In this paper, a distributed weighted-least-square method using an additive Schwarz domain decomposition technique is proposed reduce computational execution time. The approach divides set into several subsets be processed in parallel multiprocessor architecture considering exchange among areas. slow coherency balanced partitioning utilized communication overhead increase accuracy. Moreover, bad analysis also investigated manner. performance estimator, speed-up test systems, was compared traditional centralized estimator. simulation results show 6.5 4992-bus system.
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