Multi-objective optimization for electric water heater using mixed integer linear programming
Multi-objective optimization for electric water heater using mixed integer linear programming作者机构:NARI School of Electrical and Automation EngineeringNanjing Normal UniversityNanjingChina Engineering Laboratory of Gas-Electricity Integrated Energy of Jiangsu ProvinceNanjing Normal UniversityNanjingChina
出 版 物:《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报(英文))
年 卷 期:2019年第7卷第5期
页 面:1256-1266页
核心收录:
学科分类:080801[工学-电机与电器] 0808[工学-电气工程] 08[工学]
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)
主 题:Demand response Electric water heater Thermostatically-controlled automatic water mixer Mixed integer linear programming
摘 要:Due to the capacity of thermal storage,electric water heater(EWH)is one of the best candidates for demand response ***,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 *** 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 *** examples verify the effectiveness of the proposed method.