Research on Optimization of Valley-Filling Charging for Vehicle Network System Based on Multi-Objective Optimization

Lingling Hu, Junming Zhou, Feng Jiang, Guangming Xie, Jie Hu and Qinglie Mo ()
Additional contact information
Lingling Hu: School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
Junming Zhou: School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
Feng Jiang: School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
Guangming Xie: Institute for Artificial Intelligence, Peking University, Beijing 100871, China
Jie Hu: School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China
Qinglie Mo: School of Mechanical and Automotive, Guangxi University of Science and Technology, Liuzhou 545006, China

Sustainability, 2023, vol. 16, issue 1, 1-25

Abstract: Many electric vehicles connected to the grid will lead to problems such as poor stability of power grid generation. The key to solving these problems is to propose an efficient, stable, and economical valley-filling charging scheme for electric vehicles and grid users in the vehicle network system. Firstly, the convex optimization theory is used to make the grid achieve the optimization effect of valley filling. On this basis, the electricity price scheme with a time-varying coefficient as the variable is proposed to meet the single objective optimization of EV charging cost optimization, and its degree of influence on the grid valley-filling effect is analyzed. Secondly, based on the competitive relationship between EV charging cost and battery life, the P2D model is simplified and analyzed, and the attenuation law of battery capacity is quantitatively described. The multi-objective optimization problem is established to express in a Pareto matrix. Finally, the compatibility between the multi-objective optimization and grid valley charging is analyzed. The simulation results show that: (1) The convexity electricity price scheme can satisfy the requirements of various retention rates to achieve the valley-filling effect; (2) The filling effect is satisfied with the electricity price scheme that minimizes the charging cost, and the key factors affecting the filling effect are analyzed; (3) The multi-objective optimization scheme with charging cost and battery life is compatible with the valley-filling effect.

Keywords: vehicle network system; valley charging; P2D model; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/1/57/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/1/57/ (text/html)

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:gam:jsusta:v:16:y:2023:i:1:p:57-:d:1303916

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().