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

doi:10.1007/s40565-019-0542-5

Home > Archive>Volume 7, Issue 5, 2019 >1256-1266. DOI:10.1007/s40565-019-0542-5

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

DOI:

10.1007/s40565-019-0542-5

Author:

Mei WU
Mei WU
1 NARI School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China 2 Engineering Laboratory of Gas-Electricity Integrated Energy of Jiangsu Province, Nanjing Normal University, Nanjing, China
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Yu-Qing BAO
Yu-Qing BAO
1 NARI School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China 2 Engineering Laboratory of Gas-Electricity Integrated Energy of Jiangsu Province, Nanjing Normal University, Nanjing, China
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Jinlong ZHANG
Jinlong ZHANG
1 NARI School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China 2 Engineering Laboratory of Gas-Electricity Integrated Energy of Jiangsu Province, Nanjing Normal University, Nanjing, China
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Tongzhou JI
Tongzhou JI
1 NARI School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China 2 Engineering Laboratory of Gas-Electricity Integrated Energy of Jiangsu Province, Nanjing Normal University, Nanjing, China
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Affiliation:

1 NARI School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China 2 Engineering Laboratory of Gas-Electricity Integrated Energy of Jiangsu Province, Nanjing Normal University, Nanjing, China

Fund Project:

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

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Abstract:

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.

Key words:Demand response, Electric water heater,Thermostatically-controlled automatic water mixer, Mixedinteger linear programming

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Online: September 24,2019
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