Deep learning-based correlation analysis for probabilistic power flow considering renewable energy and energy storage
Xiaotian Xia,
Liye Xiao,
Hua Ye
Abstract:Developing photovoltaic (PV) and wind power is one of the most efficient approaches to reduce carbon emissions. Accumulating the PV and wind energy resources at different geographical locations can minimize total power output variance as injected into the power systems. To some extent, a low degree of the variance amplitude of the renewable resources can reduce the requirement of in-depth regulation and dispatch for the fossil fuel-based thermal power plants. Such an issue can alternatively reduce carbon emiss… Show more
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