Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Multi-Objective Optimization Model of Electricity Behavior Considering the Combination of Household Appliance Correlation and Comfort

  • Qu, Zhaoyang (School of Information Engineering of Northeast Electric Power University) ;
  • Qu, Nan (Maintenaue Company of Jiangsu Power Company) ;
  • Liu, Yaowei (State Grid Jilin Electric Power Supply Company) ;
  • Yin, Xiangai (State Grid Jilin Electric Power Supply Company) ;
  • Qu, Chong (Fushun Power Supply Company of State Grid Liaoning Electric Power Supply Company) ;
  • Wang, Wanxin (School of Information Engineering of Northeast Electric Power University) ;
  • Han, Jing (School of Information Engineering of Northeast Electric Power University)
  • Received : 2017.08.28
  • Accepted : 2018.05.24
  • Published : 2018.09.01
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Abstract

With the wide application of intelligent household appliances, the optimization of electricity behavior has become an important component of home-based intelligent electricity. In this study, a multi-objective optimization model in an intelligent electricity environment is proposed based on economy and comfort. Firstly, the domestic consumer's load characteristics are analyzed, and the operating constraints of interruptible and transferable electrical appliances are defined. Then, constraints such as household electrical load, electricity habits, the correlation minimization electricity expenditure model of household appliances, and the comfort model of electricity use are integrated into multi-objective optimization. Finally, a continuous search multi-objective particle swarm algorithm is proposed to solve the optimization problem. The analysis of the corresponding example shows that the multi-objective optimization model can effectively reduce electricity costs and improve electricity use comfort.

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References

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