E3S Web Conf.
Volume 299, 20214th Annual International Conference on Energy Development and Environmental Protection (EDEP 2021)
|Number of page(s)||8|
|Section||Energy Science and Technology|
|Published online||05 August 2021|
Multi-objective Interval Optimization of Virtual Power Plant Considering the Uncertainty of Source and Load
Electric Power Research Institute of Guangxi Power Grid Co., Ltd, Nanning 530023, China
* Corresponding author: email@example.com
As the proportion of electric vehicles and distributed power sources connected to the power grid continues to increase, virtual power plants provide new ideas for effectively solving electric vehicles and distributed power sources connected to the grid. Considering that there are obvious uncertainties in the number of dispatchable electric vehicles and the output of distributed power sources, this paper focuses on the multi-objective interval optimization problem of virtual power plants considering the uncertainty of source load. Based on the analysis of the virtual power plant architecture, aiming at the uncertainty of the source load, a multi-objective interval optimization model of the virtual power plant was established using the interval number theory; in order to verify the validity of the established model, a virtual power plant in a certain area was selected as an example for analysis. The results show that the uncertainty of distributed power sources and electric vehicles can be better avoided in the interval optimization process, and the proposed scheme has strong robustness.
© 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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