| Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
|---|---|---|
| Article Number | 01058 | |
| Number of page(s) | 5 | |
| Section | Energy Chemistry and Energy Storage and Save Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202125701058 | |
| Published online | 12 May 2021 | |
Research on joint optimal scheduling of air conditioning load and electric vehicle under demand response
1
Central China Electric Power Dispatching and Control Sub-center of State Grid, Wuhan 430061, China
2
State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University), Changping District, Beijing 102206, China
* Corresponding author: gaoyuanhd@163.com
As an important part of energy Internet carrier, demand side resources can participate in many interactions with power grid. In order to reduce the peak to valley load difference of power grid, from the perspective of tapping the combined peak shaving potential of air conditioning load and electric vehicles, guided by TOU price and direct load control, this paper proposes an optimal scheduling model with the minimum load difference and the maximum total revenue of users as the objective function. The results show that the joint optimal scheduling strategy can reduce the peak load and eliminate the “secondary peak load” caused by disorderly charging of electric vehicles.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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