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Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging

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  • Guilherme Gloriano de Souza
  • Ricardo Ribeiro dos Santos
  • Ruben Barros Godoy

Abstract

The expansion of electric vehicles (EVs) challenges electricity grids by increasing charging demand, thereby making Demand-Side Management (DSM) strategies essential to maintaining balance between supply and demand. Among these strategies, the Valley-Filling approach has emerged as a promising method to optimize renewable energy utilization and alleviate grid stress. This study introduces a novel heuristic, Load Conservation Valley-Filling (LCVF), which builds on the Classical and Optimistic Valley-Filling approaches by incorporating dynamic load conservation principles, enabling better alignment of EV charging with grid capacity. We conducted a comprehensive analysis of the heuristic across five EV charging scenarios. In both the Original and Flexible scenarios, LCVF reduced energy demand by up to 10.65%, demonstrating its adaptability and effectiveness. Notably, in the 24-hour Availability scenario, LCVF achieved a reduction of over 20% in energy demand compared to CVF. These findings indicate that LCVF could play a crucial role in enhancing real-world EV charging infrastructure, boosting energy efficiency and grid stability. By integrating DSM strategies like LCVF, energy grids can better accommodate renewable energy sources, promoting more sustainable operations.

Suggested Citation

  • Guilherme Gloriano de Souza & Ricardo Ribeiro dos Santos & Ruben Barros Godoy, 2025. "Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-36, January.
    • Handle: RePEc:plo:pone00:0316677
    DOI: 10.1371/journal.pone.0316677
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    References listed on IDEAS

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    1. Meng, Fanyue & Lu, Zhaoyuan & Li, Xiang & Han, Wei & Peng, Jieyang & Liu, Xiufeng & Niu, Zhibin, 2024. "Demand-side energy management reimagined: A comprehensive literature analysis leveraging large language models," Energy, Elsevier, vol. 291(C).
    2. Abdelfattah, Wael & Abdelhamid, Ahmed Sayed & Hasanien, Hany M. & Rashad, Basem Abd-Elhamed, 2024. "Smart vehicle-to-grid integration strategy for enhancing distribution system performance and electric vehicle profitability," Energy, Elsevier, vol. 302(C).
    3. Sai Sudharshan Ravi & Muhammad Aziz, 2022. "Utilization of Electric Vehicles for Vehicle-to-Grid Services: Progress and Perspectives," Energies, MDPI, vol. 15(2), pages 1-27, January.
    4. Hussein Jumma Jabir & Jiashen Teh & Dahaman Ishak & Hamza Abunima, 2018. "Impacts of Demand-Side Management on Electrical Power Systems: A Review," Energies, MDPI, vol. 11(5), pages 1-19, April.
    5. Saad Ullah Khan & Khawaja Khalid Mehmood & Zunaib Maqsood Haider & Muhammad Kashif Rafique & Muhammad Omer Khan & Chul-Hwan Kim, 2021. "Coordination of Multiple Electric Vehicle Aggregators for Peak Shaving and Valley Filling in Distribution Feeders," Energies, MDPI, vol. 14(2), pages 1-16, January.
    6. Ma, Shao-Chao & Yi, Bo-Wen & Fan, Ying, 2022. "Research on the valley-filling pricing for EV charging considering renewable power generation," Energy Economics, Elsevier, vol. 106(C).
    7. Tehreem Nasir & Syed Sabir Hussain Bukhari & Safdar Raza & Hafiz Mudassir Munir & Muhammad Abrar & Hafiz Abd ul Muqeet & Kamran Liaquat Bhatti & Jong-Suk Ro & Rooha Masroor, 2021. "Recent Challenges and Methodologies in Smart Grid Demand Side Management: State-of-the-Art Literature Review," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-16, August.
    8. Jian, Linni & Zheng, Yanchong & Shao, Ziyun, 2017. "High efficient valley-filling strategy for centralized coordinated charging of large-scale electric vehicles," Applied Energy, Elsevier, vol. 186(P1), pages 46-55.
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    1. Muhammed Cavus & Huseyin Ayan & Dilum Dissanayake & Anurag Sharma & Sanchari Deb & Margaret Bell, 2025. "Forecasting Electric Vehicle Charging Demand in Smart Cities Using Hybrid Deep Learning of Regional Spatial Behaviours," Energies, MDPI, vol. 18(13), pages 1-30, June.

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