Benefits of electric vehicles integrating into power grid
Creators
- 1. School of Management, China Institute for Studies in Energy Policy, Collaborative Innovation Center for Energy Economics and Energy Policy, Xiamen University, Fujian, 361005 (China)
- 2. Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen, Fujian 361101 (China)
Description
Highlights: • The integration of EV can smooth the grid load curve and decline electricity cost. • The marginal electricity supply cost under random charging mode is 556.5 CNY/MWh. • The controlled charging can further drop the power supply cost to be 495.2 CNY/MWh. • V2G are cost-effective with the consideration of battery degradation cost. Electric vehicles play an essential role in low carbon development and have significant implications for the power grid. The purpose of this study is to examine the economic value of electric vehicle integrating into the power grid. An electricity supply cost model is established to investigate the cost reduction under three charging operation modes, including random charging, controlled charging, and V2G charging. The results reveal that the adoption of EVs can effectively improve the power grid's load factor and reduce the electricity supply cost. Under the random charging mode, the marginal electricity cost is 556.5 CNY/MWh, which is lower than the grid's power supply cost of 597.1 yuan/MWh. The controlled charging without V2G can further smooth the load curve and drop the power supply cost to be 495.2 CNY/MWh. In the V2G model, the grid revenue is complicated with the consideration of battery degradation costs and the optimal total revenue could be 148.4 million CNY. The main policy implication is that the government should deregulate the electricity market and allow electric vehicles to participate in the electricity market as a power source.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.energy.2021.120108Additional details
Identifiers
- DOI
- 10.1016/j.energy.2021.120108;
- PII
- S0360544221003571;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 224
- Journal Page Range
- vp.
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53123453
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY; S24: POWER TRANSMISSION AND DISTRIBUTION;
- Descriptors DEI
- ECONOMIC ANALYSIS; ELECTRICITY; ELECTRIC-POWERED VEHICLES; ENERGY POLICY; MARKET; POWER DISTRIBUTION SYSTEMS
- Descriptors DEC
- ECONOMICS; GOVERNMENT POLICIES; VEHICLES
Optional Information
- Copyright
- Copyright (c) 2021 Elsevier Ltd. All rights reserved.