TY - JOUR
T1 - Carbon-oriented operational planning in coupled electricity and emission trading markets
AU - Wang, Yunqi
AU - Qiu, Jing
AU - Tao, Yuechuan
AU - Zhao, Junhua
N1 - Funding Information:
Manuscript received July 21, 2019; revised November 11, 2019; accepted January 11, 2020. Date of publication January 14, 2020; date of current version June 22, 2020. This work was supported in part by the Training Program of the Major Research Plan of the National Natural Science Foundation of China under Grant 91746118, in part by the Shenzhen Science and Technology Innovation Committee under Grant ZDSYS20170725140921348, in part by the Shenzhen Municipal Science and Technology Innovation Committee Basic Research project under Grant CYJ20170410172224515, in part by the Robotic Discipline Development Fund under Grant 2016-1418 from the Shenzhen Government, in part by the ARC Research Hub Grant IH180100020, and Sir William Tyree Foundation-Distributed Power Generation Research Fund. Paper no. TPWRS-01058-2019. (Corresponding author: Jing Qiu.) Y. Wang, J. Qiu, and Y. Tao are with the School of Electrical and Information Engineering, The University of Sydney, Camperdown, NSW 2006, Australia (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 1969-2012 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - Carbon financing policies such as emission trading have been used to assist in emission mitigation worldwide. As energy end-users/consumers are the underlying driver of emissions, it would be difficult to effectively mitigate carbon emissions by creating an emission trading market without active end-users' involvement. In electricity markets, demand side management (DSM) in the smart grid can manage demands in response to power supply conditions and influence end-users to contribute to improving both network efficiency and economic efficiency. However, it is a relatively new topic to study the environmental benefits of DSM. This paper proposes a two-stage scheduling model to comprehensively investigate the environmental benefits of consumers participating in both electricity and carbon emission trading markets through active DSM. A developed zero sum gains-data envelopment analysis (ZSG-DEA) model based multi-criteria allocation scheme for emission allocation is employed. Meanwhile, the carbon emission flow model (CEF) is applied to track the 'virtual' carbon flow accompanying power flow. According to case studies on the IEEE 24-bus system and IEEE 118-bus system, the proposed model can effectively achieve carbon emission mitigation and provide consumers extra environmental benefits in some scenarios. This model can be an important guide for governments to establish emission trading schemes.
AB - Carbon financing policies such as emission trading have been used to assist in emission mitigation worldwide. As energy end-users/consumers are the underlying driver of emissions, it would be difficult to effectively mitigate carbon emissions by creating an emission trading market without active end-users' involvement. In electricity markets, demand side management (DSM) in the smart grid can manage demands in response to power supply conditions and influence end-users to contribute to improving both network efficiency and economic efficiency. However, it is a relatively new topic to study the environmental benefits of DSM. This paper proposes a two-stage scheduling model to comprehensively investigate the environmental benefits of consumers participating in both electricity and carbon emission trading markets through active DSM. A developed zero sum gains-data envelopment analysis (ZSG-DEA) model based multi-criteria allocation scheme for emission allocation is employed. Meanwhile, the carbon emission flow model (CEF) is applied to track the 'virtual' carbon flow accompanying power flow. According to case studies on the IEEE 24-bus system and IEEE 118-bus system, the proposed model can effectively achieve carbon emission mitigation and provide consumers extra environmental benefits in some scenarios. This model can be an important guide for governments to establish emission trading schemes.
KW - climate change policy
KW - demand side management
KW - emission market
KW - energy economics
KW - Low-carbon economy
UR - http://www.scopus.com/inward/record.url?scp=85086138135&partnerID=8YFLogxK
U2 - 10.1109/TPWRS.2020.2966663
DO - 10.1109/TPWRS.2020.2966663
M3 - Article
AN - SCOPUS:85086138135
SN - 0885-8950
VL - 35
SP - 3145
EP - 3157
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 4
ER -
