Cooperative optimal scheduling strategy of electric vehicles based on dynamic electricity price mechanism

WanJun Yin, Tao Wen and Chao Zhang

Energy, 2023, vol. 263, issue PA

Abstract: Large-scale disordered charging of electric vehicles will lead to problems such as voltage drop, increased network loss, and reduced life of transformers. In order to fully tap the dispatch potential of electric vehicles and promote more extensive participation of electric vehicle users in the orderly interaction of the power grid, this paper combines power grid optimization. The most economic lever is used in dispatching, and an optimized dispatching strategy based on the dynamic electricity price mechanism is designed. In order to fully absorb wind power, ensure the charging and discharging demand of electric vehicles and the safe operation of the distribution network, realize the power generation side and the electric vehicle user side, maximize bilateral interests. This paper verifies that the collaborative optimization scheduling strategy is an effective scheduling scheme that takes into account the interests of all aspects and realizes multi-objective optimization through an example. The optimal scheduling scheme proposed in this paper provides an example for the multi-objective optimization problem.

Keywords: EV; Dynamic electricity price; Multi-objective; Collaborative optimization (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222025130
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:263:y:2023:i:pa:s0360544222025130

DOI: 10.1016/j.energy.2022.125627

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().