考虑用户热适应性的含跨季储热综合能源系统两阶段容量配置

Addressing seasonal supply-demand mismatch caused by uneven monthly power generation and user energy heterogeneity, this paper proposes a two-stage capacity configuration model for integrated energy systems with interseasonal thermal storage, incorporating user thermal adaptation. It introduces dynamic heating temperature setting and differentiated comfort evaluation based on thermal history, builds an economic-environmental multi-objective first-stage sizing model solved by MPSO, and a second-stage multi-time-scale operation optimization model with electric-thermal demand response to maximize user satisfaction.

针对月度发电量分布不均以及用户用能差异带来的季节性供需匹配问题,构建一种考虑用户热适应性的含跨季储热综合能源系统两阶段容量配置模型.首先,对不同供暖时期用户舒适度特征进行刻画,提出一种用户热经历影响下的供暖温度动态设置及用户舒适度差异化评估策略.其次,考虑经济与环境成本,构建含跨季储热综合能源系统的一阶段容量配置模型,在时间序列重构下采用多目标粒子群算法求解,并生成跨季储热全年参考容量状态序列.然后,建立第二阶段多时间尺度运行优化模型,研究不同配置条件下考虑长短时电热综合需求响应的系统运行情况,最终确定使得用户满意度最高的设备最优配置容量.通过算例仿真验证所提出模型及其求解方法的可行性.