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- W3019859814 abstract "High proportion of renewable energy and AC-DC hybrid structure are the challenges that the power system has faced. In order to cope with the high-dimensional uncertainties in the hybrid AC/DC system, this work developed a novel method of combining the uncertainty quantification and stochastic optimization to solve a hybrid AC-DC energy management problem. The problem is approximately reformulated by a conic quadratic optimization model, while a surrogate model of random variables and polynomial manipulation for a risk constraint are proposed to handle the tricky. Given a set of samples in the sparse random space generated by Smolyaks algorithm, thus the problem could be handled by using a high-performance solver. Simulation results verify that our proposed approach not only reduces the computational cost for energy management under uncertainties but also provides more accurate statistical information for risk assessment." @default.
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- W3019859814 date "2020-01-01" @default.
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- W3019859814 title "A Spectral Approximate Strategy for Energy Management of Hybrid AC/DC System With Uncertainty" @default.
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- W3019859814 doi "https://doi.org/10.1109/access.2020.2989832" @default.
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