An Integrated Energy System Optimal Scheduling Considering Wind-Light-Electricity Load Uncertainty Set and Linearization

To promote wind and light power consumption of wind-light-electric load power uncertainty in the integrated energy system and reduce carbon emissions, firstly, a wind and light power uncertainty set was constructed considering the wind and light volatility and the phenomenon of wind and light abandonment; a price-based demand response uncertainty set of the electric load was constructed considering electricity price volatility and load demand response elasticity coefficient. Secondly, a sorting truncated apportionment method was proposed to convert an uncertain set of wind, light, and electricity load power into a linear corresponding formula that can be solved linearly. Thirdly, a combined heat and power (abbr. CHP) unit-carbon capture system was established, and derived an overall model of the system, which only focuses on the external energy interaction of the system. Fourthly, an integrated energy system (abbr. IES) optimization model for wind, light, and electric load power uncertainty was constructed, and their wind and light power consumption and carbon emissions in multiple scenarios were analyzed. Finally, the effectiveness of the proposed method is demonstrated using arithmetic examples.