Achieving low carbon emission using Smart Grid technologies

Li, Dan; Sun, Hongjian; Chiu, Wei-Yu

Abstract

This paper presents a novel carbon emission flow (CEF) model to assess and analyze the carbon emission of each component in power networks. Through the use of information about CEF, demand side management (DSM) and supply side management (SSM) are combined to reduce the emission. Three levels of load curtailment and three strategies of renewable energy sources (RES) utilization are proposed. The IEEE 30-bus system is used to validate the framework of CEF, involving the UK actual daily data of electricity and RES. Simulation results confirm the feasibility of the proposed model and approaches. In the case of DSM, the higher penetration of DSM can result in a higher emission reduction. In the case of SSM, the proposed largest emission substitution strategy can achieve the best performance. In addition, winter day shows a better carbon reduction than summer day in both cases.

Citation

Li, D., Sun, H., & Chiu, W.-Y. (2017, December). Achieving low carbon emission using Smart Grid technologies. Presented at 2017 IEEE 85th Vehicular Technology Conference (VTC2017), Sydney

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2017 IEEE 85th Vehicular Technology Conference (VTC2017)
• Acceptance Date: Mar 5, 2017
• Online Publication Date: Nov 16, 2017
• Publication Date: Nov 16, 2017
• Deposit Date: Mar 20, 2017
• Publicly Available Date: Mar 21, 2017
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 1-5
• Book Title: 2017 IEEE 85th Vehicular Technology Conference (VTC2017-Spring) : 4–7 June 2017, Sydney, Australia ; proceedings.
• ISBN: 9781509059331
• DOI: https://doi.org/10.1109/vtcspring.2017.8108624
• Public URL: https://durham-repository.worktribe.com/output/1148807