暖通空调>期刊目次>2020年>第11期

基于k-means聚类和MILP模型的CCHP系统运行优化*

CCHP system operation optimization based on k-means clustering and MILP model

金锋[1] 姜国良[1] 解鸣[1] 阮应君[2]
[1]国网上海市电力公司闸北发电厂 [2]同济大学

摘要:

针对目前冷热电三联供(CCHP)系统运行典型日确定存在主观随意性问题,提出了一种新的典型日确定方法。以青岛市某办公建筑为例,基于k-means聚类方法,将全年冷热电能耗分为6类典型日能耗,并依据其变化规律,以年最大收益为目标函数,构建了CCHP系统MILP模型。并将该模型应用于CCHP系统运行策略优化中,获得了6类典型日工况下各设备的运行策略。

关键词:聚类分析,线性优化,冷热电三联供,混合整数线性规划模型,典型日

Abstract:

Aiming at the subjective randomness in determining the typical day of CCHP system operation, proposes a new method for determining the typical day. Taking an office building in Qingdao as an example, based on the k-means clustering method, divides the annual cooling and heating energy consumption into six types of typical daily energy consumption, and according to its change law, taking the annual maximum profit as the objective function, constructs the MILP model of CCHP system. Obtains the operation strategy of each equipment under six typical daily working conditions by applying the model to CCHP system operation strategy optimization.

Keywords:cluster analysis, linear optimization, CCHP, MILP model, typical day

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