Optimizing Microgrid Load Fluctuations through Dynamic Pricing and Electric Vehicle Flexibility: A Comparative Analysis Article Swipe
Mahdi A. Mahdi
,
Ahmed N. Abdalla
,
Lei Liu
,
Rendong Ji
,
Haiyi Bian
,
Tao Hai
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/en17194994
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/en17194994
In the context of modern power systems, the reliance on a single-time-of-use electricity pricing model presents challenges in managing electric vehicle (EV) charging in a way that can effectively accommodate the variable supply and demand patterns, particularly in the presence of wind power generation. This often results in undesirable peak–valley differences in microgrid load profiles. To address this challenge, this paper introduces an innovative approach that combines time-of-use electricity pricing with the flexible energy storage capabilities of electric vehicles. By dynamically adjusting the time-of-use electricity prices and implementing a tiered carbon pricing system, this paper presents a comprehensive strategy for formulating optimized charging and discharging plans that leverage the inherent flexibility of electric vehicles. This approach aims to mitigate the fluctuations in the microgrid load and enhance the overall grid stability. The proposed strategy was simulated and compared with the no-incentive and single-incentive strategies. The results indicate that the load peak-to-trough difference was reduced by 30.1% and 18.6%, respectively, verifying its effectiveness and superiority. Additionally, the increase in user income and the reduction in carbon emissions verify the need for the development of EVs in tandem with clean energy for environmental benefits.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en17194994
- OA Status
- gold
- Cited By
- 2
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403230475
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4403230475Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/en17194994Digital Object Identifier
- Title
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Optimizing Microgrid Load Fluctuations through Dynamic Pricing and Electric Vehicle Flexibility: A Comparative AnalysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-08Full publication date if available
- Authors
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Mahdi A. Mahdi, Ahmed N. Abdalla, Lei Liu, Rendong Ji, Haiyi Bian, Tao HaiList of authors in order
- Landing page
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https://doi.org/10.3390/en17194994Publisher landing page
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.3390/en17194994Direct OA link when available
- Concepts
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Microgrid, Flexibility (engineering), Dynamic pricing, Electric vehicle, Automotive engineering, Computer science, Economics, Engineering, Electrical engineering, Microeconomics, Renewable energy, Physics, Power (physics), Management, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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