摘要
为探究不同时间尺度下(典型年、典型日)需求曲线典型特征对冷热电三联供系统优化结果的影响,首先基于DeST模拟软件构建了大型酒店这一商业建筑并模拟用户需求,得到典型年需求曲线,并采用不同聚类和拟合方法得到典型日需求数据;其次基于冷热电三联供系统结构框架图,建立系统模型、运行策略、平衡方程以及优化目标;最后分析比较了典型年和典型日的优化结果,探究了不同典型日曲线获取方法在优化结果上的异同。结果表明:采用聚类和分段拟合等方法获取的典型日用户需求曲线可有效降低计算量。
The study aims to investigate the impact of characteristics of demand curves on the optimization results of combined cooling,Heating and power system across different time scales,including typical year and typical day.To achieve this aim,researchers first used DeST simulation software to simulate user demand in a large hotel building and obtain typical annual demand curves.Then employed different clustering and fitting methods to obtain typical daily demand data.And established a system model,operation strategy,balance equations,and optimization objectives based on the structural framework of the combined cooling,Heating and power system.Finally,researchers compared the optimization results for typical years and days to explore the similarities and differences between the results obtained using different methods for obtaining typical daily curves.The results indicate that using clustering and segmented fitting methods can effectively reduce computational workload when obtaining typical daily user demand curves.
作者
张兴嘉
郑梦莲
ZHANG Xingjia;ZHENG Menglian(Institute of Thermal Science and Power Systems,Zhejiang University,Hangzhou 310027,China)
出处
《能源工程》
2025年第4期46-54,共9页
Energy Engineering
关键词
冷热电三联供
聚类
规划优化
combined supply of heating
cooling
and electricity
clustering
planning optimization.
