American Journal of Electrical and Electronic Engineering
ISSN (Print): 2328-7365 ISSN (Online): 2328-7357 Website: http://www.sciepub.com/journal/ajeee Editor-in-chief: Naima kaabouch
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American Journal of Electrical and Electronic Engineering. 2019, 7(3), 69-74
DOI: 10.12691/ajeee-7-3-3
Open AccessArticle

Multi-time Scale Home Energy Management Considering User Comfort

Jie Lv1, , Wei Qiu2, Ying Wang1 and Gang Ma1

1School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China

2Project Management Department, Sumec Complete Equipment and Engineering Co., LTD, Nanjing, China

Pub. Date: August 18, 2019

Cite this paper:
Jie Lv, Wei Qiu, Ying Wang and Gang Ma. Multi-time Scale Home Energy Management Considering User Comfort. American Journal of Electrical and Electronic Engineering. 2019; 7(3):69-74. doi: 10.12691/ajeee-7-3-3

Abstract

With the rapid development of household photovoltaics and electric vehicles, demand-side energy management has become an important means to release the burden of power grid during the load peaking period. In order to ensure the user comfort and reduce the cost of electricity, a multi-time scale home energy management method is proposed based on mixed integer programming algorithm. Firstly, on the basis of time-of-use electricity price, household photovoltaic, electric vehicles, storage batteries and HVAC are taken into consideration. And then, short time scale model of HVAC is adopted, which increases the rationality of modeling while discretizing. The simulation results verify the superiority of multi-time scale and the optimization effect of the proposed method, which can reduce the cost of electricity for users, smooth the load curve and improve the utilization efficiency of renewable energy.

Keywords:
home energy management mixed integer linear programming user comfort multiple time scales

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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References:

[1]  Lu Zongxiang, Huang Wei, Dan Yiguo, et al. Structural shape evolution and power fore-casting of high-ratio renewable energy power system. Automation of Electric Power Systems, 2017, 41(09):12-18.
 
[2]  Zhu Jie, Chen Yalan, Zhang Wei, Zhao He, Wan Chuang, Sun Jian, Wang Xin. Research on energy optimization of home microgrid based on mixed integer linear programming. Power System Protection and Control, 2017, 45 (22): 96-101.
 
[3]  Wang Dezhi, Zhang Xiaoshun, Yu Tao, Liu Qianjin, Pan Zhenning. Multi-objective optimization algorithm for grid/multi-family user interaction based on Pareto Nash equilibrium game. Electric Power Automation Equipment, 2017, 37(05): 114-121+128.
 
[4]  Li Dezhi, Dong Mingyu, Yin Zhongdong, Li Xiaoqiang, Lin Wei. A Smart Home Energy Management System Based on Fuzzy Control. Modern Electric Power, 2018, 35(06):39-46.
 
[5]  Huang Wei, Ma Xiyuan, Lei Jinyong, Xu Aidong, Guo Xiaobin, Li Peng, Liu Nian, Yang Ping. Optimized operation of family-type user-side microgrid considering time-of-use electricity price and demand response. Southern Power Grid Technology, 2015, 9 (04): 47-53.
 
[6]  Fan Wei, Liu Nian, Zhang Jianhua. Event-driven intelligent home online energy management algorithm. Transactions of China Electrotechnical Society, 2016, 31(13): 130-140.
 
[7]  Zhang Yusen, Kong Xiangyu, Sun Bowei, Wang Jidong. Multi-time scale family energy management optimization strategy based on power demand response. Power grid technology, 2018, 42(06): 1811-1819.
 
[8]  Yu, Zhe, Jia, Liyan; Murphy-Hoye, Mary C, "Modeling and Stochastic Control for Home Energy Management," in IEEE Transactions on Smart Grid, vol. 4, no. 4, pp. 2244-2255, Dec. 2013.
 
[9]  Liu, Yi; Zhang, Yun; Chen, Kairui and B. Tang, "Equivalence of Multi-Time Scale Optimization for Home Energy Management Considering User Discomfort Preference," in IEEE Transactions on Smart Grid, vol. 8, no. 4, pp. 1876-1887, July 2017.
 
[10]  Shafie-Khah, Miadreza; Siano, Pierluigi "A Stochastic Home Energy Management System Considering Satisfaction Cost and Response Fatigue," in IEEE Transactions on Industrial Informatics, vol. 14, no. 2, pp. 629-638, Feb. 2018.
 
[11]  Melhem, Fady Y.; Grunder, Olivier; Hammoudan, Zakaria and N. Moubayed, "Optimization and Energy Management in Smart Home Considering Photovoltaic, Wind, and Battery Storage System With Integration of Electric Vehicles," in Canadian Journal of Electrical and Computer Engineering, vol. 40, no. 2, pp. 128-138, Spring 2017.
 
[12]  Chen Zhong, Li Yunqian, Leng Yuying, Lu Guangxiang. Refined Modeling and Energy Management Strategy for Typical Household High Power Loads. Automation of Electric Power Systems, 2018, 42(22): 135-147.
 
[13]  Han Bing, Yao Jianguo,Yu Yijun,Yang Shengchun,Zhao Jiaqing, Li Yaping. Discussion on Active Load Response to DC Blocking Fault of UHV Receiving End Network. Automation of Electric Power Systems, 2016, 40(18): 1-6.