SONG Chenyu, WANG Chengyang, LI Baokuan. Modeling and optimization of multi-energy flow system for future green homes[J]. Thermal power generation, 2020, 49(9): 32-38.
DOI:
SONG Chenyu, WANG Chengyang, LI Baokuan. Modeling and optimization of multi-energy flow system for future green homes[J]. Thermal power generation, 2020, 49(9): 32-38. DOI: 10.19666/j.rlfd.201911251.
Modeling and optimization of multi-energy flow system for future green homes
摘要
为了在源端通过能耗花费将输入家庭的各类能源统一标准
横向实现冷-热-水-电-气能源耦合
纵向完成源-网-荷-储协同优化
本文以用能设备为能源节点
建立了未来绿色家园的多能流模型及其有向图
并建立了多能流的分时节点数学模型
给出了多能流方程耦合矩阵的建模过程。最后
以该模式下夏季某日用能情况为例
进行了计算机优化仿真。结果表明
该建模方法可用于解决具有可再生能源、储能、能源回收等不同结构的住宅能流优化问题
其优化结果体现了基于多能流系统的未来绿色家园在改善居住舒适度及节约运行成本上的优势。
Abstract
In order to obtain unified standard of all kinds of energy input into one family through energy consumption at the source end
achieve coupling of cold-hot-water-electricity-gas energy in the horizontal direction
and realize collaborative optimization of source-network-charge-storage in the vertical direction
this paper establishes the multi-energy flow model and directed graph of the directed green home in the future
by taking the energy-using device as the energy node. It builds up the time-sharing node mathematical model of the multi-energy flow
and then gives out the modeling process of the coupling matrix of the multi-energy flow equation. In this mode
the energy consumption situation of one day in summer is taken as an example to carry out optimization simulation. The results show that
this modeling method can be used to solve the optimization problem of energy flow in buildings with different structures of renewable energy
energy storage and recycling. Its optimization result indicates that the future green home based on the multi-energy flow system has the advantages in improving the living comfort and saving the operation cost.