IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i8p1963-d1379571.html
   My bibliography  Save this article

optimHome: A Shrinking Horizon Control Architecture for Bidirectional Smart Charging in Home Energy Management Systems

Author

Listed:
  • Corrado Maria Caminiti

    (Department of Energy, Politecnico di Milano, 20156 Milano, Italy)

  • Marco Merlo

    (Department of Energy, Politecnico di Milano, 20156 Milano, Italy)

  • Mohammad Ali Fotouhi Ghazvini

    (Volvo Car Corporation, 405 31 Göteborg, Sweden)

  • Jacob Edvinsson

    (Volvo Car Corporation, 405 31 Göteborg, Sweden)

Abstract

This study aims to develop an adaptable home energy management system capable of integrating the bidirectional smart charging of electric vehicles. The final goal is to achieve a user-defined objectives such as cost minimization or maximizing renewable self-consumption. Industrialwise, the present work yields valuable outcomes in identifying operational frameworks and boundary conditions. Optimal scheduling benefits both users and the electric network, thus enhancing grid utilization and increasing renewable energy integration. By coordinating power interactions with dynamic time-of-use tariffs, the energy management system minimizes user costs and aids the grid by cutting peak hour energy consumption. Charging and discharging operations in electric vehicles comply with energy level constraints outlined by bidirectional charging protocols. The proposed approach ensures the scheduling of cycles that minimize detrimental effects on battery health when evaluating an economically ageing mechanism. Compared to uncontrolled charging, optimal scheduling resulted in a significant reduction in the total operational cost of the dwelling. Trade-off conditions between renewable integration and potential savings are identified and numerically evaluated by means of multiobjective optimization. In contrast to scheduling-based models, the proposed architecture possesses the ability to iteratively adapt decision variables in response to system changes, thus responding effectively to external stochastic uncertainty.

Suggested Citation

  • Corrado Maria Caminiti & Marco Merlo & Mohammad Ali Fotouhi Ghazvini & Jacob Edvinsson, 2024. "optimHome: A Shrinking Horizon Control Architecture for Bidirectional Smart Charging in Home Energy Management Systems," Energies, MDPI, vol. 17(8), pages 1-24, April.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:8:p:1963-:d:1379571
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/8/1963/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/8/1963/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Jianhong & Zhang, Youlang & Li, Xinzhou & Sun, Bo & Liao, Qiangqiang & Tao, Yibin & Wang, Zhiqin, 2020. "Strategic integration of vehicle-to-home system with home distributed photovoltaic power generation in Shanghai," Applied Energy, Elsevier, vol. 263(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Niu, Jide & Li, Xiaoyuan & Tian, Zhe & Yang, Hongxing, 2024. "Uncertainty analysis of the electric vehicle potential for a household to enhance robustness in decision on the EV/V2H technologies," Applied Energy, Elsevier, vol. 365(C).
    2. Liu, Diyi & Zou, Hongyang & Qiu, Yueming & Du, Huibin, 2024. "Consumer reaction to green subsidy phase-out in China: Evidence from the household photovoltaic industry," Energy Economics, Elsevier, vol. 129(C).
    3. Yu, Hang & Shang, Yitong & Niu, Songyan & Cheng, Chong & Shao, Ziyun & Jian, Linni, 2022. "Towards energy-efficient and cost-effective DC nanaogrid: A novel pseudo hierarchical architecture incorporating V2G technology for both autonomous coordination and regulated power dispatching," Applied Energy, Elsevier, vol. 313(C).
    4. Kern, Timo & Dossow, Patrick & Morlock, Elena, 2022. "Revenue opportunities by integrating combined vehicle-to-home and vehicle-to-grid applications in smart homes," Applied Energy, Elsevier, vol. 307(C).
    5. Thiti Jittayasotorn & Muthiah Sadidah & Takahiro Yoshida & Takuro Kobashi, 2023. "On the Adoption of Rooftop Photovoltaics Integrated with Electric Vehicles toward Sustainable Bangkok City, Thailand," Energies, MDPI, vol. 16(7), pages 1-17, March.
    6. Ibham Veza & Mohd Syaifuddin & Muhammad Idris & Safarudin Gazali Herawan & Abdulfatah Abdu Yusuf & Islam Md Rizwanul Fattah, 2024. "Electric Vehicle (EV) Review: Bibliometric Analysis of Electric Vehicle Trend, Policy, Lithium-Ion Battery, Battery Management, Charging Infrastructure, Smart Charging, and Electric Vehicle-to-Everyth," Energies, MDPI, vol. 17(15), pages 1-43, July.
    7. Zhang, Yijie & Ma, Tao & Yang, Hongxing, 2022. "Grid-connected photovoltaic battery systems: A comprehensive review and perspectives," Applied Energy, Elsevier, vol. 328(C).
    8. Muchun Wan & Heyang Yu & Yingning Huo & Kan Yu & Quanyuan Jiang & Guangchao Geng, 2024. "Feasibility and Challenges for Vehicle-to-Grid in Electricity Market: A Review," Energies, MDPI, vol. 17(3), pages 1-23, January.
    9. Xinman Guo & Sunliang Cao & Yang Xu & Xiaolin Zhu, 2021. "The Feasibility of Using Zero-Emission Electric Boats to Enhance the Techno-Economic Performance of an Ocean-Energy-Supported Coastal Hotel Building," Energies, MDPI, vol. 14(24), pages 1-42, December.
    10. Ortega-Cabezas, Pedro-Miguel & Colmenar-Santos, Antonio & Borge-Diez, David & Blanes-Peiró, Jorge-Juan, 2021. "Can eco-routing, eco-driving and eco-charging contribute to the European Green Deal? Case Study: The City of Alcalá de Henares (Madrid, Spain)," Energy, Elsevier, vol. 228(C).
    11. Zhou, Yong & Dong, Guangzhong & Tan, Qianqian & Han, Xueyuan & Chen, Chunlin & Wei, Jingwen, 2023. "State of health estimation for lithium-ion batteries using geometric impedance spectrum features and recurrent Gaussian process regression," Energy, Elsevier, vol. 262(PB).
    12. Sun, Chuyu & Zhao, Xiaoli & Qi, Binbin & Xiao, Weihao & Zhang, Hongjun, 2022. "Economic and environmental analysis of coupled PV-energy storage-charging station considering location and scale," Applied Energy, Elsevier, vol. 328(C).
    13. Kobashi, Takuro & Yoshida, Takahiro & Yamagata, Yoshiki & Naito, Katsuhiko & Pfenninger, Stefan & Say, Kelvin & Takeda, Yasuhiro & Ahl, Amanda & Yarime, Masaru & Hara, Keishiro, 2020. "On the potential of “Photovoltaics + Electric vehicles” for deep decarbonization of Kyoto’s power systems: Techno-economic-social considerations," Applied Energy, Elsevier, vol. 275(C).
    14. Liu, Xiaochen & Fu, Zhi & Qiu, Siyuan & Li, Shaojie & Zhang, Tao & Liu, Xiaohua & Jiang, Yi, 2023. "Building-centric investigation into electric vehicle behavior: A survey-based simulation method for charging system design," Energy, Elsevier, vol. 271(C).
    15. Li, Yipu & Su, Hao & Zhou, Yun & Chen, Lixia & Shi, Yiwei & Li, Hengjie & Feng, Donghan, 2023. "Two-stage real-time optimal electricity dispatch strategy for urban residential quarter with electric vehicles’ charging load," Energy, Elsevier, vol. 268(C).
    16. Tostado-Véliz, Marcos & León-Japa, Rogelio S. & Jurado, Francisco, 2021. "Optimal electrification of off-grid smart homes considering flexible demand and vehicle-to-home capabilities," Applied Energy, Elsevier, vol. 298(C).
    17. Higashitani, Takuya & Ikegami, Takashi & Akisawa, Atsushi, 2024. "Optimization of residential energy system configurations considering the bidirectional power supply of electric vehicles and electricity interchange between two residences," Energy, Elsevier, vol. 303(C).
    18. Wohlschlager, Daniela & Kigle, Stephan & Schindler, Vanessa & Neitz-Regett, Anika & Fröhling, Magnus, 2024. "Environmental effects of vehicle-to-grid charging in future energy systems – A prospective life cycle assessment," Applied Energy, Elsevier, vol. 370(C).
    19. Wu, Yan & Aziz, Syed Mahfuzul & Haque, Mohammed H., 2024. "Vehicle-to-home operation and multi-location charging of electric vehicles for energy cost optimisation of households with photovoltaic system and battery energy storage," Renewable Energy, Elsevier, vol. 221(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:8:p:1963-:d:1379571. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.