We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
An Equivalent-Perceptional Intertemporal Choice Heuristics Model for Electric Operation Vehicle Charging Behavior.
- Authors
Han, Yue; Quan, Yi; Li, Peiwen; Fu, Bo; Xie, Mei; Zhao, Haiyan
- Abstract
The inherent stochasticity of electric operation vehicle (EOV) charging poses challenges to the stability and efficiency of regional power distribution networks. Existing charging behavior decision-making models often prioritize revenue considerations, neglecting the influence of multi-time-span characteristics and the potential irrationality of EOV owners. To address these limitations, this study proposes a comprehensive framework encompassing three aspects. First, operational data are statistically analyzed to reconstruct EOV operation scenarios, establishing a dynamic charging scheme tailored to multi-time-span characteristics. Second, an improved ITCH model is developed using operational equivalent change to incorporate both gains and losses. Third, a WFL framework is employed to integrate the perceptual attenuation of revenue into the ITCH model. Simulation results show that decision-makers (DMs) demonstrate a preference for charging schemes with high equivalent perceived revenues and low time costs. Moreover, when the charging price is doubled, revenue perception attenuation leads decision-makers to postpone their charging behavior. Compared to other models, the equivalent perception intertemporal choice heuristics (EP-ITCH) charging model results in reduced load peaks, valleys, and variances on the grid side. This study highlights the model's effectiveness and accuracy in optimizing EOV charging infrastructure.
- Subjects
INTERTEMPORAL choice; ITCHING; POWER distribution networks; INFRASTRUCTURE (Economics); HEURISTIC; PEAK load
- Publication
Symmetry (20738994), 2024, Vol 16, Issue 3, p374
- ISSN
2073-8994
- Publication type
Article
- DOI
10.3390/sym16030374