考虑热惯性的居民楼宇综合能源系统日前运行优化

针对居民楼宇中部分热负荷的热惯性特征,提出了一种考虑热惯性的居民楼宇综合能源系统日前运行优化方法。首先,建立了居民楼宇综合能源系统的典型结构和数学模型,探究能源供给、转换、分配、存储的机理;其次,基于线性能量平衡法,采用微分方程描述楼宇制冷采暖系统和生活热水系统的热惯性特征,并将上述方程差分化;再次,以综合成本最小为目标,考虑购能约束、功率平衡约束、热惯性约束、备用容量约束等,建立日前运行优化模型,并将上述模型转化为混合整数二次规划,通过Yalmip调用Cplex求解;最后,通过实际算例分析热惯性对居民楼宇综合能源系统运行优化的影响。结果表明,利用热惯性能够对冷热负荷进行平移或削减,从而降低运行成本。

Day-ahead optimal operation of residential building integrated energy system considering thermal inertia

According to the thermal inertia of part of heat loads in the residential buildings,this paper proposes a novel day-ahead optimal operation method for the residential building integrated energy system(RBIES)considering the thermal inertia.Firstly,the model of RBIES is modeled,including the typical structure and the mathematical expression.The mechanism of energy generation,conversion,distribution,and storage is delved.Secondly,based on the linear energy balance method,the thermal inertia of building cooling and heating system and residential hot water system is modelled by differential equations.Furthermore,the equations are simplified by difference.Then,the day-ahead optimal operation model aimed to minimized the total cost is established,subjected to constraints of energy purchase,power balance,thermodynamic process,reserve capacity and so on.The problem is simplified to mixed-integer quadratic programming.The commercial solver Cplex is employed to get the solution based on Yalmip.Lastly,the influence of thermal inertia to the optimal operation is illustrated by actual case studies.Results show that benefitted from the thermal inertia,the heat loads can be shifted or cut to pursue a lower operation cost.