Identification of weak buses for proper placement of reactive compensation through sensitivity analysis using a neural network surrogate model
作者： Isaac Guevara , Marco Gutierrez , Pavel Zuniga
DOI: 10.1109/ROPEC.2015.7395084
关键词:
摘要: The aim of this work is to present a surrogate model appropriate for carrying out sensitivity analysis studies. obtained using radial basis functions neural network. study based on the overall power system bus voltage magnitudes reactive change. objective locate suitable compensation. To validate proposed method, flow carried in order identify most vulnerable bus. findings can be used buses where compensation have impact. Simulation results are presented that confirms validity proposal.
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