A Cost-Effective and Ecological Stochastic Optimization for Integration of Distributed Energy Resources in Energy Networks Considering V2G and CHP Technologies

Daramola, Alex S., Ahmadi, Seyed Ehsan, Marzband, Mousa and Ikpehaic, Augustine (2022) A Cost-Effective and Ecological Stochastic Optimization for Integration of Distributed Energy Resources in Energy Networks Considering V2G and CHP Technologies. Journal of Energy Storage. ISSN 2352-152X (In Press)

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Electric vehicles (EVs) have the potential to decarbonize the transport sector and contribute to the attainment of the global Net-Zero goal. However, to achieve sustainable decarbonization, EVs’ power for grid-to-vehicle (G2V) operations should be sourced from carbon-free or low carbon power generating sources. Whilst the adoption of renewable energy sources (RES) in EVs’ G2V process has been extensively explored, combined heat and power (CHP) technologies are underexamined. Hence, this paper deploys harmonized natural gas and fuel cell CHP technologies alongside RES and battery energy storage systems (BESS) to facilitate EVs’ G2V and vehicle-to-grid (V2G) operations. While the BESS supports V2G operations and stores excess power from the CHP and RES, the CHP’s by-product heat could be employed in heating homes and industrial facilities. Furthermore, to maximize environmental and economic benefits, the CHP technologies are designed following the hybrid electric-thermal load strategy, such that the system autonomously switches between following the electric load strategy and following the thermal load strategy. The proposed optimization problem is tested using three different case studies (CSs) to minimize the microgrid’s (MG) operating costs and carbon dioxide (CO2) emissions in a stochastic framework considering the RES generations, the load consumption, and the behavior patterns of charging/discharging periods of EVs as the uncertain parameters. The first CS tests the proposed algorithm using only CHP technologies. Secondly, the algorithm is examined using the CHP technologies and RES. Finally, the BESS is added to support and analyze the impacts of the V2G operations of EVs on the MG. Furthermore, the life cycle assessment is investigated to analyse the CO2 emissions of distributed generations. The results show a 32.22%, 44.49%, and 47.20% operating cost reduction in the first, second, and third CSs. At the same time, the CO2 emissions declined by 29.13%, 47.13% and 47.90% in the various corresponding CSs. These results demonstrate the economic and environmental benefits of applying CHP with RES in facilitating G2V and V2G operations towards achieving a decarbonized transport sector.

Item Type: Article
Additional Information: Funding information: This work was supported from DTE Network+ funded by EPSRC grant reference EP/S032053/1.
Uncontrolled Keywords: Distributed Generation, Microgrid, CO2 emission, Vehicle-to-Grid, Combined Heat and Power, Fuel Cell.
Subjects: H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: John Coen
Date Deposited: 21 Nov 2022 14:18
Last Modified: 21 Nov 2022 14:59
URI: https://nrl.northumbria.ac.uk/id/eprint/50697

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