Volume 14 Issue 3
Mar.  2017
Article Contents

Yu-Xiao Huang, Feng Yang, Yang Luo, Cheng-Long Xia. Power Optimization Strategy Considering Electric Vehicle in Home Energy Management System[J]. Journal of Electronic Science and Technology, 2016, 14(3): 234-241. doi: 10.11989/JEST.1674-862X.603161
Citation: Yu-Xiao Huang, Feng Yang, Yang Luo, Cheng-Long Xia. Power Optimization Strategy Considering Electric Vehicle in Home Energy Management System[J]. Journal of Electronic Science and Technology, 2016, 14(3): 234-241. doi: 10.11989/JEST.1674-862X.603161

Power Optimization Strategy Considering Electric Vehicle in Home Energy Management System

doi: 10.11989/JEST.1674-862X.603161
Funds:

This work was supported by the National Basic Research Program of China (973 Program) under Grant No. 2012CB215202 and the National Natural Science Foundation of China under Grant No. 51205046 and No. 61450010.

More Information
  • Author Bio:

    Yu-Xiao Huang research interests include electric vehicle, intelligent control, etc;hyxhuangyuxiao@163.com;Feng Yang, fyang@uestc.edu.cn;Yang Luo, Luoyang_uestc@yeah.net;Cheng-Long Xia, 15608225206@163.com

    Yu-Xiao Huang research interests include electric vehicle, intelligent control, etc;hyxhuangyuxiao@163.com;Feng Yang, fyang@uestc.edu.cn;Yang Luo, Luoyang_uestc@yeah.net;Cheng-Long Xia, 15608225206@163.com

    Yu-Xiao Huang research interests include electric vehicle, intelligent control, etc;hyxhuangyuxiao@163.com;Feng Yang, fyang@uestc.edu.cn;Yang Luo, Luoyang_uestc@yeah.net;Cheng-Long Xia, 15608225206@163.com

    Yu-Xiao Huang research interests include electric vehicle, intelligent control, etc;hyxhuangyuxiao@163.com;Feng Yang, fyang@uestc.edu.cn;Yang Luo, Luoyang_uestc@yeah.net;Cheng-Long Xia, 15608225206@163.com

  • Received Date: 2016-03-17
  • Rev Recd Date: 2016-06-20
  • Publish Date: 2016-09-25

通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Power Optimization Strategy Considering Electric Vehicle in Home Energy Management System

doi: 10.11989/JEST.1674-862X.603161
Funds:

This work was supported by the National Basic Research Program of China (973 Program) under Grant No. 2012CB215202 and the National Natural Science Foundation of China under Grant No. 51205046 and No. 61450010.

  • Author Bio:

Abstract: With the development of smart grid, residents have the opportunity to schedule their household appliances (HA) for the purpose of reducing electricity expenses and alleviating the pressure of the smart grid. In this paper, we introduce the structure of home energy management system (EMS) and then propose a power optimization strategy based on household load model and electric vehicle (EV) model for home power usage. In this strategy, the electric vehicles are charged when the price is low, and otherwise, are discharged. By adopting this combined system model under the time-of-use electricity price (TOUP), the proposed scheduling strategy would effectively minimize the electricity cost and reduce the pressure of the smart grid at the same time. Finally, simulation experiments are carried out to show the feasibility of the proposed strategy. The results show that crossover genetic particle swarm optimization algorithm has better convergence properties than traditional particle swarm algorithm and better adaptability than genetic algorithm.

Yu-Xiao Huang, Feng Yang, Yang Luo, Cheng-Long Xia. Power Optimization Strategy Considering Electric Vehicle in Home Energy Management System[J]. Journal of Electronic Science and Technology, 2016, 14(3): 234-241. doi: 10.11989/JEST.1674-862X.603161
Citation: Yu-Xiao Huang, Feng Yang, Yang Luo, Cheng-Long Xia. Power Optimization Strategy Considering Electric Vehicle in Home Energy Management System[J]. Journal of Electronic Science and Technology, 2016, 14(3): 234-241. doi: 10.11989/JEST.1674-862X.603161

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