The Empirical Research of Demand Response on the Smart Power Consumers

DOI

10.2991/icmia-16.2016.81How to use a DOI?

Keywords

demand response, peak shifting and valley filling, load regulation, the electrical behavior with the user

Abstract

Demand response in power demand side management plays an important role. In this paper, we achieve the user electrical equipment monitoring through selecting of appropriate scale of residential customers, according to different power consumption behavior pattern, through the deployment of interactive equipment, data acquisition and load control equipment, in response to the incentive mechanism to guide users to participate in power grid peak shifting and valley filling, then this paper Analysis the electricity users behavior change of the load on the grid according to the collected user consumption data changes, in order to explore the incentive mode in response to user demand and verify the effect of the construction of smart electricity project, by comparing the experimental group and the control group, the visualization of air conditioning control results can be found that whether the proportion of users, the length of time, or family air conditioning load reduction rate, air conditioning control group are higher than the group of data visualization, it means that the air conditioning group is better than the visual group it shows that the implementation of load control has great practical effect and potential for implementation in regulation of peak load shifting under the demand response.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Bin Yang
AU  - Wenjun Ran
AU  - Kun Shi
AU  - Dezhi Li
PY  - 2016/11
DA  - 2016/11
TI  - The Empirical Research of Demand Response on the Smart Power Consumers
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.81
DO  - 10.2991/icmia-16.2016.81
ID  - Yang2016/11
ER  -