Revenue Estimation for Vehicle-to-Grid with Household Behind-the-Meter Solar and Storage

As electric vehicles (EVs) become increasingly prevalent, Vehicle-to-Grid (V2G), as a flexible means of interaction between EVs and the power grid, has attracted considerable attention, yet its commercial prospects remain unclear. In this paper, a V2G revenue estimation method is proposed for households with behind-the-meter solar and storage. Firstly, a mathematical model consists of solar, storage, and EVs is established, with a rolling optimization method is proposed to solve the mathematical model. Secondly, typical EV usage scenarios in household areas are analyzed based on diverse travel demand. Finally, through empirical case studies, the efficacy and viability of the proposed method are validated. The research findings suggest that V2G holds potential economic benefits within household areas, thereby offering new insights into future vehicle grid interaction and household energy management.

Authors

Institutions

Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/ciced63421.2024.10754104
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Revenue Estimation for Vehicle-to-Grid with Household Behind-the-Meter Solar and Storage

Lin Xia, Qingxue Li, Chengyao Gong, Muchun Wan et al.
Electric Vehicles and Infrastructure
article

Revenue Estimation for Vehicle-to-Grid with Household Behind-the-Meter Solar and Storage

Lin Xia, Qingxue Li, Chengyao Gong, Muchun Wan, Xiao Hong, Yichen Pan
article en

Abstract

As electric vehicles (EVs) become increasingly prevalent, Vehicle-to-Grid (V2G), as a flexible means of interaction between EVs and the power grid, has attracted considerable attention, yet its commercial prospects remain unclear. In this paper, a V2G revenue estimation method is proposed for households with behind-the-meter solar and storage. Firstly, a mathematical model consists of solar, storage, and EVs is established, with a rolling optimization method is proposed to solve the mathematical model. Secondly, typical EV usage scenarios in household areas are analyzed based on diverse travel demand. Finally, through empirical case studies, the efficacy and viability of the proposed method are validated. The research findings suggest that V2G holds potential economic benefits within household areas, thereby offering new insights into future vehicle grid interaction and household energy management.

Shanghai Electric (China) (CN), Zhejiang University (CN)
State Grid Zhejiang Electric Power Company
Openalex Percentile: Top 81%
Electric Vehicles and Infrastructure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.