Power System Operation with Large Scale Stochastic Wind Power Integration

Nominated as an outstanding Ph.D. thesis by Tsinghua University Develops a new kind of operation and analysis for power systems to address the uncertainties of renewable energy Proposes new methods for solving right-hand side interval linear/nonlinear equations and optimization that can be applied to the research focusing on the interval analysis Describes robust optimization methods for finding a robust optimal scheduling that is immune to the uncertainties for industrial engineering Studies various new optimization algorithms that can be used for solving large-scale optimization problems and improve the computational efficiency Includes supplementary material: sn.pub/extras

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