4.6 Article

V2G optimized power control strategy based on time-of-use electricity price and comprehensive load cost?

期刊

ENERGY REPORTS
卷 10, 期 -, 页码 1467-1473

出版社

ELSEVIER
DOI: 10.1016/j.egyr.2023.08.017

关键词

V2G; Optimized control strategy; Electric vehicles; Power grid

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As a nascent industry, electric vehicles have made significant advancements in technology and policy, providing a clearer development trend and promising future prospects. The integration of EVs with the energy sector, specifically with vehicle-to-grid technology and efficient collaboration, serves as major areas for technical breakthroughs. This paper analyzes the impact of disordered charging of EVs on the power grid and proposes an optimized V2G power control strategy based on time-of-use electricity pricing and comprehensive load cost optimization.
Electric vehicles (EVs), as a nascent industry, have seen significant advancements in technology and policy, allowing for a clearer development trend and promising future prospects. The integration of EVs with the energy sector is becoming a key focus, with vehicle-to-grid (V2G) technology and efficient collaboration serving as major areas for technical breakthroughs. This paper begins by analyzing the impact of disordered charging of EVs on the power grid. Given that EVs can function as mobile energy storage units, they have the potential to provide flexible support for the secure operation of the power grid. Building upon this, the paper proposes an optimized V2G power control strategy that is based on time-of-use electricity pricing and comprehensive load cost optimization. The principle behind this proposed control strategy is elaborated upon in the subsequent sections. To validate the effectiveness of the proposed V2G optimized power control strategy, the paper provides simulation results. These results serve to demonstrate the practical feasibility and benefits of the proposed strategy in leveraging the capabilities of EVs and promoting grid stability and efficiency. & COPY; 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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