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Unit commitment in achieving low carbon smart grid environment with virtual power plant.

Hua, Weiqi and Li, Dan and Sun, Hongjian and Matthews, Peter (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. Piscataway: IEEE, pp. 1-6.

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.

Item Type:Book chapter
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1109/isc2.2017.8090810
Publisher statement:© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Date accepted:18 August 2017
Date deposited:29 August 2017
Date of first online publication:02 November 2017
Date first made open access:No date available

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