Multi-objective optimization for improving EV users’ adhesion with hybrid demand response strategy
With the popularization of electric vehicles (EVs), the charging behavior of users will inevitably affect the power grid in the process of vehicle-to-grid (V2G). It is particularly important to consider the behavior characteristics and charging habits of EV users to guide their charging behavior. Th...
Main Authors: | Ziyin He, Hui Hou, Tingting Hou, Rengcun Fang, Jinrui Tang, Changjun Xie |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-09-01
|
Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723006753 |
Similar Items
-
Charging Load Allocation Strategy of EV Charging Station Considering Charging Mode
by: Yutong Zhao, et al.
Published: (2019-06-01) -
Optimal Allocation Model for EV Charging Stations Coordinating Investor and User Benefits
by: Youbo Liu, et al.
Published: (2018-01-01) -
A Constrained Programming-Based Algorithm for Optimal Scheduling of Aggregated EVs Power Demand in Smart Buildings
by: Rajaa Naji El Idrissi, et al.
Published: (2022-01-01) -
Optimal schedule of 100% renewable energy microgrid considering demand response of EVs
by: Hui Hou, et al.
Published: (2023-09-01) -
Assessment of Electric Vehicle Charging Costs in Presence of Distributed Photovoltaic Generation and Variable Electricity Tariffs
by: Marco Pasetti, et al.
Published: (2019-02-01)