Coordinating emission-aware energy trading with V2G services

G. M. Asim Akhtar; Ali T. Al-Awami; M. Waqas Khalid

doi:10.1109/EUROCON.2013.6625146

Coordinating emission-aware energy trading with V2G services

G. M. Asim Akhtar
, Ali T. Al-Awami
, M. Waqas Khalid

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

In this work, coordination of energy trading and unidirectional vehicle to grid services taking into account generation emissions is considered. The study has investigated the case of a Load Serving Entity (LSE) with owns a number of wind and thermal generation units and has to cater a certain amount of load with large concentration of a special controllable load, Electric Vehicles (EVs). The objective of the LSE is to simultaneously maximize its expected profits and minimize emission. A two level mixed integer stochastic programming (SP) is used to handle various uncertainties such as uncertain energy prices, balancing prices, stochastic availability of wind energy and demand. In addition, trading risks are accounted for using the conditional value at risk (CVaR). Simulation results show the benefits of coordinating V2G services with wind and thermal trading.

Original language	English
Title of host publication	IEEE EuroCon 2013
Pages	1293-1298
Number of pages	6
DOIs	https://doi.org/10.1109/EUROCON.2013.6625146
State	Published - 2013

Publication series

Name	IEEE EuroCon 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

EV charging
Emissions
Load-serving entities
Mixed integer stochastic programming
Risk
Thermal power production
V2G

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/EUROCON.2013.6625146

Cite this

@inproceedings{95b0477fbc4f47e38a4d4c19de54837b,

title = "Coordinating emission-aware energy trading with V2G services",

abstract = "In this work, coordination of energy trading and unidirectional vehicle to grid services taking into account generation emissions is considered. The study has investigated the case of a Load Serving Entity (LSE) with owns a number of wind and thermal generation units and has to cater a certain amount of load with large concentration of a special controllable load, Electric Vehicles (EVs). The objective of the LSE is to simultaneously maximize its expected profits and minimize emission. A two level mixed integer stochastic programming (SP) is used to handle various uncertainties such as uncertain energy prices, balancing prices, stochastic availability of wind energy and demand. In addition, trading risks are accounted for using the conditional value at risk (CVaR). Simulation results show the benefits of coordinating V2G services with wind and thermal trading.",

keywords = "EV charging, Emissions, Load-serving entities, Mixed integer stochastic programming, Risk, Thermal power production, V2G",

author = "\{Asim Akhtar\}, \{G. M.\} and Al-Awami, \{Ali T.\} and Khalid, \{M. Waqas\}",

year = "2013",

doi = "10.1109/EUROCON.2013.6625146",

language = "English",

isbn = "9781467322324",

series = "IEEE EuroCon 2013",

pages = "1293--1298",

booktitle = "IEEE EuroCon 2013",

}

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T1 - Coordinating emission-aware energy trading with V2G services

AU - Asim Akhtar, G. M.

AU - Al-Awami, Ali T.

AU - Khalid, M. Waqas

PY - 2013

Y1 - 2013

N2 - In this work, coordination of energy trading and unidirectional vehicle to grid services taking into account generation emissions is considered. The study has investigated the case of a Load Serving Entity (LSE) with owns a number of wind and thermal generation units and has to cater a certain amount of load with large concentration of a special controllable load, Electric Vehicles (EVs). The objective of the LSE is to simultaneously maximize its expected profits and minimize emission. A two level mixed integer stochastic programming (SP) is used to handle various uncertainties such as uncertain energy prices, balancing prices, stochastic availability of wind energy and demand. In addition, trading risks are accounted for using the conditional value at risk (CVaR). Simulation results show the benefits of coordinating V2G services with wind and thermal trading.

AB - In this work, coordination of energy trading and unidirectional vehicle to grid services taking into account generation emissions is considered. The study has investigated the case of a Load Serving Entity (LSE) with owns a number of wind and thermal generation units and has to cater a certain amount of load with large concentration of a special controllable load, Electric Vehicles (EVs). The objective of the LSE is to simultaneously maximize its expected profits and minimize emission. A two level mixed integer stochastic programming (SP) is used to handle various uncertainties such as uncertain energy prices, balancing prices, stochastic availability of wind energy and demand. In addition, trading risks are accounted for using the conditional value at risk (CVaR). Simulation results show the benefits of coordinating V2G services with wind and thermal trading.

KW - EV charging

KW - Emissions

KW - Load-serving entities

KW - Mixed integer stochastic programming

KW - Risk

KW - Thermal power production

KW - V2G

UR - https://www.scopus.com/pages/publications/84888602715

U2 - 10.1109/EUROCON.2013.6625146

DO - 10.1109/EUROCON.2013.6625146

M3 - Conference contribution

AN - SCOPUS:84888602715

SN - 9781467322324

T3 - IEEE EuroCon 2013

SP - 1293

EP - 1298

BT - IEEE EuroCon 2013

ER -

Coordinating emission-aware energy trading with V2G services

Abstract

Publication series

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this