TY - GEN
T1 - Optimal residential comprehensive load demand response for integrated energy management systems coupling electricity, gas and heating
AU - Liu, Peiyun
AU - Ding, Tao
AU - Lu, Guangming
AU - Lv, Ying
AU - Xie, Chang
N1 - Publisher Copyright:
© 2018 Institution of Engineering and Technology. All rights reserved.
PY - 2018
Y1 - 2018
N2 - In recent years, the residential demand response in House Energy Management Systems (HEMS) has concentrated on off-peak power consumption of house loads considering only the scheduling of electricity. However, the advancement of multi-energy system and the increasing pressure on the grid give rise to the necessity of multi-energy EMS model research. In this paper, household equipment is classified into electrical equipment, gas-supplied equipment and heating-supplied equipment. Considering the combination among them, an advanced model of HEMS Coupling Electricity, Gas and Heating (CEGH) at the residential building level, which can achieve the redistribution of energy, is proposed in this work. By the means of simulation, this model achieves the redistribution of multi-energy, and thus it is proved superior on shifting peak load for the grid and reducing daily energy cost bills for residents than original single electricity scheduling model.
AB - In recent years, the residential demand response in House Energy Management Systems (HEMS) has concentrated on off-peak power consumption of house loads considering only the scheduling of electricity. However, the advancement of multi-energy system and the increasing pressure on the grid give rise to the necessity of multi-energy EMS model research. In this paper, household equipment is classified into electrical equipment, gas-supplied equipment and heating-supplied equipment. Considering the combination among them, an advanced model of HEMS Coupling Electricity, Gas and Heating (CEGH) at the residential building level, which can achieve the redistribution of energy, is proposed in this work. By the means of simulation, this model achieves the redistribution of multi-energy, and thus it is proved superior on shifting peak load for the grid and reducing daily energy cost bills for residents than original single electricity scheduling model.
KW - Demand response
KW - Home energy management system
KW - Multi-energy
KW - Smart home
UR - https://www.scopus.com/pages/publications/85081663981
U2 - 10.1049/cp.2018.1782
DO - 10.1049/cp.2018.1782
M3 - 会议稿件
AN - SCOPUS:85081663981
SN - 9781785617911
SN - 9781839530043
T3 - IET Conference Publications
BT - IET Conference Publications
PB - Institution of Engineering and Technology
T2 - 11th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2018
Y2 - 11 November 2018 through 15 November 2018
ER -