考虑碳捕集与光热电站的综合能源系统优化调度OA北大核心CSTPCD

To efficiently deal with the problems of wind power curtailment and carbon emissions caused by the contra-diction between the supply and demand of heat and power in an integrated energy system(IES),an optimal scheduling model considering the carbon capture and storage(CCS)technology and concentrating solar power(CSP)station is es-tablished. First,the CCS technology is used to transform the combined heat and power(CHP)unit into a low-carbon unit,and a mathematical model of the CHP unit with carbon capture is established. Then,the CSP station is introduced on this basis to form a CSP-CHP-CCS collaborative framework,and a low-carbon economic scheduling model of IES with CSP-CHP-CCS is established. In addition,aimed at the source and load uncertainties in the system,the informa-tion gap decision theory is used for simulation and analysis,and a risk aversion robust model is constructed. Finally,the effectiveness of the proposed model in promoting new energy consumption and reducing carbon emissions is verifiedby the comparison of a numerical example through simulations.