IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v262y2020ics0306261920300192.html
   My bibliography  Save this article

Multiple group search optimization based on decomposition for multi-objective dispatch with electric vehicle and wind power uncertainties

Author

Listed:
  • Zhang, Xian
  • Chan, Ka Wing
  • Wang, Huaizhi
  • Zhou, Bin
  • Wang, Guibin
  • Qiu, Jing

Abstract

While the number of plug-in electric vehicles (PEVs) increases rapidly, the application potential of PEVs should be accounted in electric power dispatch with several conflicting and competing objectives such as providing vehicle-to-grid (V2G) service or coordinating with wind power. To solve this highly constrained multi-objective optimization problem (MOOP), a multiple group search optimization based on decomposition (MGSO/D) is proposed considering the uncertainties of PEVs and wind power. Specifically, the decomposition approach effectively reduces the computational complexity, and the innovatively incorporated producer-scrounger model effectively improves the diversity and spanning of the Pareto-optimal front (PF). Meanwhile, the estimation error punishment is utilized to take into account of uncertainties. The performance of MGSO/D and the effectiveness of the uncertainty model are investigated on the IEEE 30-bus and 118-bus system with wind farms and PEV aggregators. Simulation results demonstrate the superiority of MGSO/D to solve this MOOP with practical uncertainties by comparing with well-established Pareto heuristic methods.

Suggested Citation

  • Zhang, Xian & Chan, Ka Wing & Wang, Huaizhi & Zhou, Bin & Wang, Guibin & Qiu, Jing, 2020. "Multiple group search optimization based on decomposition for multi-objective dispatch with electric vehicle and wind power uncertainties," Applied Energy, Elsevier, vol. 262(C).
    • Handle: RePEc:eee:appene:v:262:y:2020:i:c:s0306261920300192
    DOI: 10.1016/j.apenergy.2020.114507
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261920300192
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2020.114507?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Andersson, S.-L. & Elofsson, A.K. & Galus, M.D. & Göransson, L. & Karlsson, S. & Johnsson, F. & Andersson, G., 2010. "Plug-in hybrid electric vehicles as regulating power providers: Case studies of Sweden and Germany," Energy Policy, Elsevier, vol. 38(6), pages 2751-2762, June.
    2. de Jong, Pieter & Kiperstok, Asher & Sánchez, Antonio Santos & Dargaville, Roger & Torres, Ednildo Andrade, 2016. "Integrating large scale wind power into the electricity grid in the Northeast of Brazil," Energy, Elsevier, vol. 100(C), pages 401-415.
    3. Peng, Chao & Zou, Jianxiao & Lian, Lian & Li, Liying, 2017. "An optimal dispatching strategy for V2G aggregator participating in supplementary frequency regulation considering EV driving demand and aggregator’s benefits," Applied Energy, Elsevier, vol. 190(C), pages 591-599.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lu, Xin & Qiu, Jing & Zhang, Cuo & Lei, Gang & Zhu, Jianguo, 2024. "Seizing unconventional arbitrage opportunities in virtual power plants: A profitable and flexible recruitment approach," Applied Energy, Elsevier, vol. 358(C).
    2. Wu, Chuanshen & Gao, Shan & Liu, Yu & Song, Tiancheng E. & Han, Haiteng, 2021. "A model predictive control approach in microgrid considering multi-uncertainty of electric vehicles," Renewable Energy, Elsevier, vol. 163(C), pages 1385-1396.

    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. Staudt, Philipp & Schmidt, Marc & Gärttner, Johannes & Weinhardt, Christof, 2018. "A decentralized approach towards resolving transmission grid congestion in Germany using vehicle-to-grid technology," Applied Energy, Elsevier, vol. 230(C), pages 1435-1446.
    2. Saad Ullah Khan & Khawaja Khalid Mehmood & Zunaib Maqsood Haider & Muhammad Kashif Rafique & Chul-Hwan Kim, 2018. "A Bi-Level EV Aggregator Coordination Scheme for Load Variance Minimization with Renewable Energy Penetration Adaptability," Energies, MDPI, vol. 11(10), pages 1-28, October.
    3. Juul, Nina, 2012. "Battery prices and capacity sensitivity: Electric drive vehicles," Energy, Elsevier, vol. 47(1), pages 403-410.
    4. Wang, Kejun & Qi, Xiaoxia & Liu, Hongda & Song, Jiakang, 2018. "Deep belief network based k-means cluster approach for short-term wind power forecasting," Energy, Elsevier, vol. 165(PA), pages 840-852.
    5. Galus, Matthias D. & Zima, Marek & Andersson, Göran, 2010. "On integration of plug-in hybrid electric vehicles into existing power system structures," Energy Policy, Elsevier, vol. 38(11), pages 6736-6745, November.
    6. Shi You & Junjie Hu & Charalampos Ziras, 2016. "An Overview of Modeling Approaches Applied to Aggregation-Based Fleet Management and Integration of Plug-in Electric Vehicles †," Energies, MDPI, vol. 9(11), pages 1-18, November.
    7. Gerald Broneske & David Wozabal, 2017. "How Do Contract Parameters Influence the Economics of Vehicle-to-Grid?," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 150-164, February.
    8. Cláudio Albuquerque Frate & Christian Brannstrom, 2019. "How Do Stakeholders Perceive Barriers to Large-Scale Wind Power Diffusion? A Q-Method Case Study from Ceará State, Brazil," Energies, MDPI, vol. 12(11), pages 1-14, May.
    9. Schill, Wolf-Peter, 2011. "Electric Vehicles in Imperfect Electricity Markets: The case of Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 39(10), pages 6178-6189.
    10. Frate, Cláudio Albuquerque & Brannstrom, Christian & de Morais, Marcus Vinícius Girão & Caldeira-Pires, Armando de Azevedo, 2019. "Procedural and distributive justice inform subjectivity regarding wind power: A case from Rio Grande do Norte, Brazil," Energy Policy, Elsevier, vol. 132(C), pages 185-195.
    11. Sovacool, Benjamin K. & Kester, Johannes & Noel, Lance & Zarazua de Rubens, Gerardo, 2020. "Actors, business models, and innovation activity systems for vehicle-to-grid (V2G) technology: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    12. Khandaker Dahirul Islam & Thanansak Theppaya & Fida Ali & Jompob Waewsak & Tanita Suepa & Juntakan Taweekun & Teerawet Titseesang & Kuaanan Techato, 2021. "Wind Energy Analysis in the Coastal Region of Bangladesh," Energies, MDPI, vol. 14(18), pages 1-18, September.
    13. Liu, Hui & Huang, Kai & Wang, Ni & Qi, Junjian & Wu, Qiuwei & Ma, Shicong & Li, Canbing, 2019. "Optimal dispatch for participation of electric vehicles in frequency regulation based on area control error and area regulation requirement," Applied Energy, Elsevier, vol. 240(C), pages 46-55.
    14. Iria, José & Soares, Filipe & Matos, Manuel, 2019. "Optimal bidding strategy for an aggregator of prosumers in energy and secondary reserve markets," Applied Energy, Elsevier, vol. 238(C), pages 1361-1372.
    15. Sheeraz Iqbal & Salman Habib & Muhammad Ali & Aqib Shafiq & Anis ur Rehman & Emad M. Ahmed & Tahir Khurshaid & Salah Kamel, 2022. "The Impact of V2G Charging/Discharging Strategy on the Microgrid Environment Considering Stochastic Methods," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    16. Zhou, Bin & Li, Wentao & Chan, Ka Wing & Cao, Yijia & Kuang, Yonghong & Liu, Xi & Wang, Xiong, 2016. "Smart home energy management systems: Concept, configurations, and scheduling strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 30-40.
    17. Steffen, Bjarne, 2012. "Prospects for pumped-hydro storage in Germany," Energy Policy, Elsevier, vol. 45(C), pages 420-429.
    18. Colmenar-Santos, A. & de Palacio-Rodriguez, Carlos & Rosales-Asensio, Enrique & Borge-Diez, David, 2017. "Estimating the benefits of vehicle-to-home in islands: The case of the Canary Islands," Energy, Elsevier, vol. 134(C), pages 311-322.
    19. Maria Taljegard & Lisa Göransson & Mikael Odenberger & Filip Johnsson, 2019. "Electric Vehicles as Flexibility Management Strategy for the Electricity System—A Comparison between Different Regions of Europe," Energies, MDPI, vol. 12(13), pages 1-19, July.
    20. Wesseh, Presley K. & Benjamin, Nelson I. & Lin, Boqiang, 2022. "The coordination of pumped hydro storage, electric vehicles, and climate policy in imperfect electricity markets: Insights from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(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:eee:appene:v:262:y:2020:i:c:s0306261920300192. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.