Study on bi‐level multi‐objective collaborative optimization model for integrated energy system considering source‐load uncertainty

The uncertainty of both the generation side and user brings certain impacts on source-load coordinated operation integrated energy system (IES). At first, characteristics IES with large-scale distributed is analyzed. Secondly, considering lower operating cost higher renewable consumption rate, a bilevel optimization model coordination based structure established, which considers side, such as wind photovoltaic (PV) power output, load side. robust theory stochastic chance-constrained programming are introduced to establish upper layer models IES. Besides, firefly algorithm used design solution process model. results show that power, PV positively correlated comprehensive cost. Also, full consideration uncertainties, significantly reduced. Meanwhile, improvement confidence level objective function constraint conditions will enhance optimistic value system, means gaining reliability by sacrificing partial benefits. Overall, can improve rate reduce system.