基于信息间隙决策理论的含碳捕集−电转气综合能源系统优化调度

Optimization and Scheduling of Integrated Energy Systems With Carbon Capture and Storage-Power to Gas Based on Information Gap Decision Theory

【目的】为科学统筹综合能源系统运行经济性、稳定性和低碳性优化目标,采用何种技术手段以提升能源转化效率,减少系统能源浪费和区域环境污染,是当下综合能源系统合理优化的主要问题。为此,提出一种基于场景生成与信息间隙决策理论的含碳捕集与封存(carbon capture and storage,CCS)—两段式电转气(power to gas,P2G)综合能源系统低碳优化策略。【方法】在技术层面,通过对电P2G两阶段精细化建模,提高氢能利用效率,建立热电联产(combined heating and power,CHP)-CCS-P2G耦合模型;在市场机制层面,引入阶梯型碳交易模型以降低系统中CO_(2)排放量。最终,基于信息间隙决策理论(IGDT)构建不同风险偏好下的优化调度模型。【结果】以典型综合能源系统进行算例分析,仿真结果表明所提模型可提高风光消纳率,实现系统低碳、经济、稳定运行。【结论】该优化策略可有效帮助决策者根据其风险偏好制定风险规避与风险追求策略下的调度方案,实现系统不确定性与经济性的平衡。

[Objectives]The main issue in the current rational optimization of integrated energy systems is to adopt technological means to improve energy conversion efficiency,reduce system energy waste and regional environmental pollution,in order to scientifically coordinate the optimization goals of economic,stability,and low-carbon operation of the integrated energy system.To this end,a low-carbon optimization strategy for a carbon capture and storage(CCS)two-stage power to gas(P2G)integrated energy system based on scenario generation and information gap decision theory(IGDT)was proposed.[Methods]At the technical level,by finely modeling the two-stage conversion from power to gas,the efficiency of hydrogen energy utilization was improved,and a combined heating and power(CHP)-CCS-P2G coupling model was established.At the market mechanism level,a tiered carbon trading model was introduced to reduce CO_(2)emissions in the system.Finally,based on the IGDT,an optimization scheduling model was constructed for different risk preferences.[Results]Taking a typical integrated energy system as an example,the simulation results show that the proposed model can improve the wind and solar energy consumption rate,achieve low-carbon,economic,and stable operation of the system.[Conclusions]This optimization strategy can effectively help decision-makers develop scheduling plans under risk avoidance and risk pursuit strategies based on their risk preferences,achieving a balance between system uncertainty and economy.