Unit Commitment in Achieving Low Carbon Smart Grid Environment with Virtual Power Plant

Hua, Weiqi; Li, Dan; Sun, Hongjian; Matthews, Peter

doi:10.1109/isc2.2017.8090810

Unit Commitment in Achieving Low Carbon Smart Grid Environment with Virtual Power Plant

Hua, Weiqi; Li, Dan; Sun, Hongjian; Matthews, Peter

Authors

Weiqi Hua

Dan Li

Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor

Peter Matthews

Abstract

This paper proposes a novel unit commitment (UC) model under smart grid (SG) environment, which intends to strike a balance pursuing minimum carbon emissions for policy maker, minimum costs for generators and minimum payment bills for consumers. This leads to a multiobjective optimization problem (MOP) which can be solved through the multiobjective immune algorithm (MOIA). Therefore, the energy market scheduling problem considering low carbon smart grid environment can be analysed. The case studies are conducted to demonstrate the proposed model and present the allocation of power generations as well as the daily energy market scheduling results. It has been proved that the penetration of SG contributes to the mitigation of carbon emissions during the peak demand time by around 500 ton/h. It is also suggested that if the policy maker can provide appropriate monetary compensation for the deployment of SG technologies, generators will be encouraged to participate in the SG deployment.

Citation

Hua, W., Li, D., Sun, H., & Matthews, P. (2017). Unit Commitment in Achieving Low Carbon Smart Grid Environment with Virtual Power Plant. In 2017 IEEE International Smart Cities Conference (ISC2) : 14-17 September 2017, Wuxi, China ; proceedings (1-6). https://doi.org/10.1109/isc2.2017.8090810

Conference Name	2017 3rd IEEE International Smart Cities Conference (ISC2 2017).
Conference Location	Wuxi, China
Start Date	Sep 14, 2017
End Date	Sep 17, 2017
Acceptance Date	Aug 18, 2017
Online Publication Date	Nov 2, 2017
Publication Date	Nov 2, 2017
Deposit Date	Aug 28, 2017
Publicly Available Date	Aug 29, 2017
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-6
Book Title	2017 IEEE International Smart Cities Conference (ISC2) : 14-17 September 2017, Wuxi, China ; proceedings.
ISBN	9781538625255
DOI	https://doi.org/10.1109/isc2.2017.8090810

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