Ahmadi, Seyed Ehsan, Kazemi-Razi, S. Mahdi, Marzband, Mousa, Ikpehai, Augustine and Abusorrah, Abdullah (2023) Multi-Objective Stochastic Techno-Economic-Environmental Optimization of Distribution Networks with G2V and V2G Systems. Electric Power Systems Research, 218. p. 109195. ISSN 0378-7796
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Abstract
Plug-in electric vehicles (PEVs) are one of the most promising technologies for decarbonizing the transportation sector towards the global Net-zero target. However, charging/discharging of PEVs impacts the electricity network's stability, increases the operating costs, and affects the voltage profile. This paper proposes a flexible multi-objective optimization approach to evaluate and deploy vehicle-to-grid and grid-to-vehicle technologies considering techno-economical and environmental factors. Furthermore, life cycle of PEV batteries, charging/discharging pattern, and driving behaviours of the PEV owners are considered. The simulations are run over a modified IEEE 69-bus radial distribution test system to minimize two objective functions including the operating costs and CO 2 emissions using the heuristic-based Firefly Algorithm in a stochastic optimization framework considering renewable generations, load consumption, and charging/discharging timing of PEVs as the uncertain parameters. The results demonstrate significant reductions in the operating costs and CO 2 emissions, and the voltage profile of the network is improved properly. Besides, by implementing the discharging facility of PEVs in the network, the PEV owners save a considerable amount in operating costs.
| Item Type: | Article |
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| Additional Information: | Funding information: This work was supported from DTENetwork+funded by EPSRC grant reference EP/S032053/1. The authors would like to thanks Mr. Alex S. Daramola and Mr. Nnamdi Anthony Iwoba for their assistance and contribution during data collection, simulation, and analysis the corresponding results. |
| Uncontrolled Keywords: | Plug-in electric vehicle, CO2 emission, Firefly algorithm, multi-objective optimization |
| Subjects: | H600 Electronic and Electrical Engineering |
| Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
| Depositing User: | Rachel Branson |
| Date Deposited: | 06 Feb 2023 10:48 |
| Last Modified: | 07 Mar 2023 11:45 |
| URI: | https://nrl.northumbria.ac.uk/id/eprint/51319 |
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