基于有限理性的集中供热耦合绿电调峰系统运行优化OA

To address the pronounced problems of long regulation time lag and severe indoor temperature unevenness in central heating,the central-heating peak-shaving systems achieves regulation optimization through a combined heating mode of basic central-heating guarantee and fluctuating supplement by the peak shaving system,and has become one of the prevailing heating configurations in northern China.Meanwhile,the central-heating peak-shaving system coupled with distributed green power can facilitate building-grid interaction,enhance renewable power accommodation,and satisfy residents'personalized thermal comfort demands.Therefore,this paper proposes a central-heating peak-shaving system coupled with distributed green power and oriented toward personalized heat demands,and incorporates the bounded rationality of residents participating in central-heating demand response into the modeling.A cost-comfort model is employed to characterize the demand-response behaviors of heterogeneous users,and a bi-level pricing and scheduling optimization framework for heating enterprises and users is established to achieve coordinated optimization of green power accommodation and heating benefits.Taking a residential community in Xi'an for case study,the results show that the daily average accommodated green power reaches 10～18 MW,the operating cost of the heating enterprises is reduced by 36.5%,and the user temperature compliance rate is increased from 2.9%to 90.3%.The proposed approach can alleviate the scheduling deviation caused by the idealized assumption of residents'demand response,improve system economy and terminal comfort guarantee level,and provide a reference for the participation of green power in heating peak shaving and the design of differentiated pricing mechanisms.