EconPapers    
Economics at your fingertips  
 

Capacity value estimation of plug-in electric vehicle parking-lots in urban power systems: A physical-social coupling perspective

Bo Zeng, Bo Sun, Xuan Wei, Dunwei Gong, Dongbo Zhao and Chanan Singh

Applied Energy, 2020, vol. 265, issue C, No S0306261920303214

Abstract: This paper presents a study to investigate the potential role of public plug-in electric vehicle grid-connected parking lot (GPL) in improving the sustainability of power supply as virtual energy storage in the urban grid. For this, a comprehensive evaluation framework is proposed which introduces an extension of the generation-oriented concept of capacity value to GPL, with the aim of assessing their contribution to adequacy of supply for different settings. In order to capture the volatility in the available energy from GPL, a compound parametric model is developed from the perspective of physical-social system. Comparing with peer studies, our proposed approach has prominent advantages: (a) it accounts the effects from both technical and human factors associated with the GPL operations; (b) it considers the uncertainty of vehicle users’ preference for using GPL and its potential dynamics with the externalities. Hence, it can provide a more comprehensive and realistic representation of the operating characteristics of the GPL. A general framework based on the sequential Monte-Carlo simulation method is developed to derive the corresponding capacity value indices. The effectiveness of the proposed method is validated through implementation on both a standard test case and a real distribution system in China. The obtained results suggest that the capacity value of GPLs could vary significantly, dependent on both the operational characteristics of facilities and the charging pattern of electric vehicles. Additionally, the uncertainties in drivers’ behaviors can have a noticeable impact on the reliability benefits of GPL program.

Keywords: Plug-in electric vehicle; Parking lot; Capacity value; Vehicle-to-grid; Uncertainty (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261920303214
Full text for ScienceDirect subscribers only

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:eee:appene:v:265:y:2020:i:c:s0306261920303214

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2020.114809

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).

 
Page updated 2024-12-28
Handle: RePEc:eee:appene:v:265:y:2020:i:c:s0306261920303214