Multi-objective optimization for electric water heater using mixed integer linear programming

Multi-objective optimization for electric water heater using mixed integer linear programming

论文摘要

Due to the capacity of thermal storage, electric water heater(EWH) is one of the best candidates for demand response programs. However, few attentions are given to the modeling and optimization of EWHs with thermostatically-controlled automatic water mixer(TCAWM). In this paper, differential thermodynamic model is established for EWHs with TCAWM and a piecewise linear approximation method is performed for the nonlinear thermodynamic model. The multi-objective optimization model is established by introducing an index reflecting the comfort degree of users, so that the optimal energy usage of the EWH can be obtained by mixed integer linear programming. Testing examples verify the effectiveness of the proposed method.

论文目录

文章来源

类型: 期刊论文

作者: Mei WU,Yu-Qing BAO,Jinlong ZHANG,Tongzhou JI

来源: Journal of Modern Power Systems and Clean Energy 2019年05期

年度: 2019

分类: 工程科技Ⅱ辑

专业: 电力工业

单位: NARI School of Electrical and Automation Engineering,Nanjing Normal University,Engineering Laboratory of Gas-Electricity Integrated Energy of Jiangsu Province, Nanjing Normal University

基金: supported by National Natural Science Foundation of China (No. 51707099),Natural Science Fund for Colleges and Universities of Jiangsu Province (No. 16KJB470009),China Postdoctoral Science Foundation (No. 2017M611859)

分类号: TM925.32

页码: 1256-1266

总页数: 11

文件大小: 640K

下载量: 25

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Multi-objective optimization for electric water heater using mixed integer linear programming
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