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

被引：12
|
作者：
Wu, Mei [1 ,2 ]
Bao, Yu-qing [1 ,2 ]
Zhang, Jinlong [1 ,2 ]
Ji, Tongzhou [1 ,2 ]
机构：
[1] Nanjing Normal Univ, NARI Sch Elect & Automat Engn, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Normal Univ, Engn Lab Gas Elect Integrated Energy Jiangsu Prov, Nanjing, Jiangsu, Peoples R China
来源：
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY | 2019年 / 7卷 / 05期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Demand response; Electric water heater; Thermostatically-controlled automatic water mixer; Mixed integer linear programming; SMART TRANSACTIVE ENERGY; HOME-MICROGRIDS; FRAMEWORK; MARKET; POWER;
D O I：
10.1007/s40565-019-0542-5
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
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.
引用
收藏
页码：1256 / 1266
页数：11
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