Optimal low-carbon operation of regional integrated energy systems: a data-driven hybrid stochastic-distributionally robust optimization approach
Uncertainties arising from the increasing renewable energy source (RES) penetration
induced by the imposition of carbon emission penalties introduce substantial challenges to
the optimal operations of regional integrated energy system (RIES). The present work
addresses this issue by developing a data-driven hybrid stochastic-distributionally robust
optimization approach for RIESs, in which carbon emission costs and uncertainties in RES
output are considered. The approach involves a tri-level optimization problem that is …
induced by the imposition of carbon emission penalties introduce substantial challenges to
the optimal operations of regional integrated energy system (RIES). The present work
addresses this issue by developing a data-driven hybrid stochastic-distributionally robust
optimization approach for RIESs, in which carbon emission costs and uncertainties in RES
output are considered. The approach involves a tri-level optimization problem that is …
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