| Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
|---|---|---|
| Article Number | 01083 | |
| Number of page(s) | 4 | |
| Section | Energy Chemistry and Energy Storage and Save Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202125701083 | |
| Published online | 12 May 2021 | |
Research on Virtual Power Plant Optimal Scheduling Based on TOU Electricity Price
1
State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University), Changping District, Beijing 102206, China
2
Central China Electric Power Dispatching and Control Sub-center of State Grid, Wuhan 430061, China
* Corresponding author: gaoyuanhd@163.com
The power supply in many provinces is in short supply during peak load period, and the largescale entry of new energy into the grid brings new problems to the safety and economic operation of the grid. Under the mechanism of time-of-use electricity price, the virtual power plant participates in the grid dispatching by integrating distributed new energy and demand-side resources, which can effectively participate in the peak load clipping and valley filling of the grid and suppress the load fluctuation of the grid. This paper builds a VPP economic optimization scheduling model based on TOU electricity price, and uses particle swarm optimization algorithm to get the output of each energy source of VPP. The simulation results show that the model is reasonable and economical.
© The Authors, published by EDP Sciences, 2021
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