IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i17p4586-d408641.html
   My bibliography  Save this article

Smart Control Strategies for Primary Frequency Regulation through Electric Vehicles: A Battery Degradation Perspective

Author

Listed:
  • Paolo Scarabaggio

    (Department of Electrical and Information Engineering, Polytechnic of Bari, Via Orabona 4, 70125 Bari, Italy
    These authors contributed equally to this work.)

  • Raffaele Carli

    (Department of Electrical and Information Engineering, Polytechnic of Bari, Via Orabona 4, 70125 Bari, Italy
    These authors contributed equally to this work.)

  • Graziana Cavone

    (Department of Electrical and Information Engineering, Polytechnic of Bari, Via Orabona 4, 70125 Bari, Italy
    These authors contributed equally to this work.)

  • Mariagrazia Dotoli

    (Department of Electrical and Information Engineering, Polytechnic of Bari, Via Orabona 4, 70125 Bari, Italy
    These authors contributed equally to this work.)

Abstract

Nowadays, due to the decreasing use of traditional generators in favor of renewable energy sources, power grids are facing a reduction of system inertia and primary frequency regulation capability. Such an issue is exacerbated by the continuously increasing number of electric vehicles (EVs), which results in enforcing novel approaches in the grid operations management. However, from being an issue, the increase of EVs may turn to be a solution to several power system challenges. In this context, a crucial role is played by the so-called vehicle-to-grid (V2G) mode of operation, which has the potential to provide ancillary services to the power grid, such as peak clipping, load shifting, and frequency regulation. More in detail, EVs have recently started to be effectively used for one of the most traditional frequency regulation approaches: the so-called frequency droop control (FDC). This is a primary frequency regulation, currently obtained by adjusting the active power of generators in the main grid. Because to the decommissioning of traditional power plants, EVs are thus recognized as particularly valuable solutions since they can respond to frequency deviation signals by charging or discharging their batteries. Against this background, we address frequency regulation of a power grid model including loads, traditional generators, and several EVs. The latter independently participate in the grid optimization process providing the grid with ancillary services, namely the FDC. We propose two novel control strategies for the optimal control of the batteries of EVs during the frequency regulation service. On the one hand, the control strategies ensure re-balancing the power and stabilizing the frequency of the main grid. On the other hand, the approaches are able to satisfy different types of needs of EVs during the charging process. Differently from the related literature, where the EVs perspective is generally oriented to achieve the optimal charge level, the proposed approaches aim at minimizing the degradation of battery devices. Finally, the proposed strategies are compared with other state-of-the-art V2G control approaches. The results of numerical experiments using a realistic power grid model show the effectiveness of the proposed strategies under the actual operating conditions.

Suggested Citation

  • Paolo Scarabaggio & Raffaele Carli & Graziana Cavone & Mariagrazia Dotoli, 2020. "Smart Control Strategies for Primary Frequency Regulation through Electric Vehicles: A Battery Degradation Perspective," Energies, MDPI, vol. 13(17), pages 1-19, September.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4586-:d:408641
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/17/4586/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/17/4586/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abdulhameed S. Alsharafi & Ahmad H. Besheer & Hassan M. Emara, 2018. "Primary Frequency Response Enhancement for Future Low Inertia Power Systems Using Hybrid Control Technique," Energies, MDPI, vol. 11(4), pages 1-20, March.
    2. Ujjwal Datta & Akhtar Kalam & Juan Shi, 2020. "Battery Energy Storage System for Aggregated Inertia-Droop Control and a Novel Frequency Dependent State-of-Charge Recovery," Energies, MDPI, vol. 13(8), pages 1-18, April.
    3. George Baure & Matthieu Dubarry, 2020. "Durability and Reliability of EV Batteries under Electric Utility Grid Operations: Impact of Frequency Regulation Usage on Cell Degradation," Energies, MDPI, vol. 13(10), pages 1-11, May.
    4. Jun Yang & Zhili Zeng & Yufei Tang & Jun Yan & Haibo He & Yunliang Wu, 2015. "Load Frequency Control in Isolated Micro-Grids with Electrical Vehicles Based on Multivariable Generalized Predictive Theory," Energies, MDPI, vol. 8(3), pages 1-20, March.
    5. Maheshwari, Arpit & Paterakis, Nikolaos G. & Santarelli, Massimo & Gibescu, Madeleine, 2020. "Optimizing the operation of energy storage using a non-linear lithium-ion battery degradation model," Applied Energy, Elsevier, vol. 261(C).
    6. Konstantinos Oureilidis & Kyriaki-Nefeli Malamaki & Konstantinos Gallos & Achilleas Tsitsimelis & Christos Dikaiakos & Spyros Gkavanoudis & Milos Cvetkovic & Juan Manuel Mauricio & Jose Maria Maza Ort, 2020. "Ancillary Services Market Design in Distribution Networks: Review and Identification of Barriers," Energies, MDPI, vol. 13(4), pages 1-44, February.
    7. Sekyung Han & Soohee Han, 2013. "Economic Feasibility of V2G Frequency Regulation in Consideration of Battery Wear," Energies, MDPI, vol. 6(2), pages 1-18, February.
    8. 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.
    9. Peng, Chao & Zou, Jianxiao & Lian, Lian, 2017. "Dispatching strategies of electric vehicles participating in frequency regulation on power grid: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 147-152.
    10. Sara Bellocchi & Michele Manno & Michel Noussan & Michela Vellini, 2019. "Impact of Grid-Scale Electricity Storage and Electric Vehicles on Renewable Energy Penetration: A Case Study for Italy," Energies, MDPI, vol. 12(7), pages 1-32, April.
    11. Jin-Sun Yang & Jin-Young Choi & Geon-Ho An & Young-Jun Choi & Myoung-Hoe Kim & Dong-Jun Won, 2016. "Optimal Scheduling and Real-Time State-of-Charge Management of Energy Storage System for Frequency Regulation," Energies, MDPI, vol. 9(12), pages 1-13, November.
    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. Fan Li & Dong Liu & Boyu Qin & Ke Sun & Dan Wang & Hanqing Liang & Cheng Zhang & Taikun Tao, 2022. "Multi-Objective Energy Optimal Scheduling of Multiple Pulsed Loads in Isolated Power Systems," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
    2. Minan Tang & Chenchen Zhang & Yaqi Zhang & Yaguang Yan & Wenjuan Wang & Bo An, 2024. "A Dual-Layer MPC of Coordinated Control of Battery Load Demand and Grid-Side Supply Matching at Electric Vehicle Swapping Stations," Energies, MDPI, vol. 17(4), pages 1-26, February.
    3. White, Chris & Thompson, Ben & Swan, Lukas G., 2021. "Comparative performance study of electric vehicle batteries repurposed for electricity grid energy arbitrage," Applied Energy, Elsevier, vol. 288(C).
    4. Md. Shafiul Alam & Tanzi Ahmed Chowdhury & Abhishak Dhar & Fahad Saleh Al-Ismail & M. S. H. Choudhury & Md Shafiullah & Md. Ismail Hossain & Md. Alamgir Hossain & Aasim Ullah & Syed Masiur Rahman, 2023. "Solar and Wind Energy Integrated System Frequency Control: A Critical Review on Recent Developments," Energies, MDPI, vol. 16(2), pages 1-31, January.
    5. Tianyao Zhang & Diyi Chen & Jing Liu & Beibei Xu & Venkateshkumar M, 2020. "A Feasibility Analysis of Controlling a Hybrid Power System over Short Time Intervals," Energies, MDPI, vol. 13(21), pages 1-21, October.
    6. Khaleghi, Sahar & Karimi, Danial & Beheshti, S. Hamidreza & Hosen, Md. Sazzad & Behi, Hamidreza & Berecibar, Maitane & Van Mierlo, Joeri, 2021. "Online health diagnosis of lithium-ion batteries based on nonlinear autoregressive neural network," Applied Energy, Elsevier, vol. 282(PA).
    7. Liudmyla Davydenko & Nina Davydenko & Andrii Bosak & Alla Bosak & Agnieszka Deja & Tygran Dzhuguryan, 2022. "Smart Sustainable Freight Transport for a City Multi-Floor Manufacturing Cluster: A Framework of the Energy Efficiency Monitoring of Electric Vehicle Fleet Charging," Energies, MDPI, vol. 15(10), pages 1-27, May.
    8. Nataliia Shamarova & Konstantin Suslov & Pavel Ilyushin & Ilia Shushpanov, 2022. "Review of Battery Energy Storage Systems Modeling in Microgrids with Renewables Considering Battery Degradation," Energies, MDPI, vol. 15(19), pages 1-18, September.
    9. Ming, Fangzhu & Gao, Feng & Liu, Kun & Li, Xingqi, 2023. "A constrained DRL-based bi-level coordinated method for large-scale EVs charging," Applied Energy, Elsevier, vol. 331(C).
    10. Jesús Muñoz-Cruzado-Alba & Rossano Musca & Javier Ballestín-Fuertes & José F. Sanz-Osorio & David Miguel Rivas-Ascaso & Michael P. Jones & Angelo Catania & Emil Goosen, 2021. "Power Grid Integration and Use-Case Study of Acid-Base Flow Battery Technology," Sustainability, MDPI, vol. 13(11), pages 1-27, May.
    11. Adlan Pradana & Mejbaul Haque & Mithulanathan Nadarajah, 2023. "Control Strategies of Electric Vehicles Participating in Ancillary Services: A Comprehensive Review," Energies, MDPI, vol. 16(4), pages 1-36, February.
    12. Florian Klausmann & Anna-Lena Klingler, 2023. "Adaptive Control Strategy for Stationary Electric Battery Storage Systems with Reliable Peak Load Limitation at Maximum Self-Consumption of Locally Generated Energy," Energies, MDPI, vol. 16(9), pages 1-19, May.
    13. Tehseen Mazhar & Rizwana Naz Asif & Muhammad Amir Malik & Muhammad Asgher Nadeem & Inayatul Haq & Muhammad Iqbal & Muhammad Kamran & Shahzad Ashraf, 2023. "Electric Vehicle Charging System in the Smart Grid Using Different Machine Learning Methods," Sustainability, MDPI, vol. 15(3), pages 1-26, February.
    14. Fei Zeng & Zhinong Wei & Guoqiang Sun & Mingshen Wang & Haiteng Han, 2023. "Frequency Regulation of Electric Vehicle Aggregator Considering User Requirements with Limited Data Collection," Energies, MDPI, vol. 16(2), pages 1-21, January.
    15. Carlos Armenta-Déu & Laura Demas, 2024. "Optimization of Grid Energy Balance Using Vehicle-to-Grid Network System," Energies, MDPI, vol. 17(5), pages 1-28, February.
    16. Hassan Yousif Ahmed & Ziad M. Ali & Mohamed M. Refaat & Shady H. E. Abdel Aleem, 2023. "A Multi-Objective Planning Strategy for Electric Vehicle Charging Stations towards Low Carbon-Oriented Modern Power Systems," Sustainability, MDPI, vol. 15(3), pages 1-23, February.
    17. Giulio Ferro & Michela Robba & Roberto Sacile, 2021. "Optimal Control of Smart Distributed Power and Energy Systems," Energies, MDPI, vol. 15(1), pages 1-2, December.
    18. Kuei-Hsiang Chao & Bing-Ze Huang & Jia-Jun Jian, 2022. "An Energy Storage System Composed of Photovoltaic Arrays and Batteries with Uniform Charge/Discharge," Energies, MDPI, vol. 15(8), pages 1-23, April.
    19. Elio Chiodo & Davide Lauria & Fabio Mottola & Daniela Proto & Domenico Villacci & Giorgio Maria Giannuzzi & Cosimo Pisani, 2022. "Probabilistic Description of the State of Charge of Batteries Used for Primary Frequency Regulation," Energies, MDPI, vol. 15(18), pages 1-24, September.

    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. Andre Leippi & Markus Fleschutz & Michael D. Murphy, 2022. "A Review of EV Battery Utilization in Demand Response Considering Battery Degradation in Non-Residential Vehicle-to-Grid Scenarios," Energies, MDPI, vol. 15(9), pages 1-22, April.
    2. Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim, 2017. "Analyzing the Impacts of System Parameters on MPC-Based Frequency Control for a Stand-Alone Microgrid," Energies, MDPI, vol. 10(4), pages 1-17, March.
    3. Neofytos Neofytou & Konstantinos Blazakis & Yiannis Katsigiannis & Georgios Stavrakakis, 2019. "Modeling Vehicles to Grid as a Source of Distributed Frequency Regulation in Isolated Grids with Significant RES Penetration," Energies, MDPI, vol. 12(4), pages 1-23, February.
    4. Saleh Aghajan-Eshkevari & Sasan Azad & Morteza Nazari-Heris & Mohammad Taghi Ameli & Somayeh Asadi, 2022. "Charging and Discharging of Electric Vehicles in Power Systems: An Updated and Detailed Review of Methods, Control Structures, Objectives, and Optimization Methodologies," Sustainability, MDPI, vol. 14(4), pages 1-31, February.
    5. Sevdari, Kristian & Calearo, Lisa & Andersen, Peter Bach & Marinelli, Mattia, 2022. "Ancillary services and electric vehicles: An overview from charging clusters and chargers technology perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    6. Zhou, Yuekuan, 2022. "Transition towards carbon-neutral districts based on storage techniques and spatiotemporal energy sharing with electrification and hydrogenation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    7. Nataliia Shamarova & Konstantin Suslov & Pavel Ilyushin & Ilia Shushpanov, 2022. "Review of Battery Energy Storage Systems Modeling in Microgrids with Renewables Considering Battery Degradation," Energies, MDPI, vol. 15(19), pages 1-18, September.
    8. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    9. Nikita V. Martyushev & Boris V. Malozyomov & Svetlana N. Sorokova & Egor A. Efremenkov & Denis V. Valuev & Mengxu Qi, 2023. "Review Models and Methods for Determining and Predicting the Reliability of Technical Systems and Transport," Mathematics, MDPI, vol. 11(15), pages 1-31, July.
    10. Rancilio, G. & Rossi, A. & Falabretti, D. & Galliani, A. & Merlo, M., 2022. "Ancillary services markets in europe: Evolution and regulatory trade-offs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    11. Theofilos A. Papadopoulos & Kalliopi D. Pippi & Georgios A. Barzegkar-Ntovom & Eleftherios O. Kontis & Angelos I. Nousdilis & Christos L. Athanasiadis & Georgios C. Kryonidis, 2023. "Validation of a Holistic System for Operational Analysis and Provision of Ancillary Services in Active Distribution Networks," Energies, MDPI, vol. 16(6), pages 1-27, March.
    12. Peixiao Fan & Jia Hu & Song Ke & Yuxin Wen & Shaobo Yang & Jun Yang, 2022. "A Frequency–Pressure Cooperative Control Strategy of Multi-Microgrid with an Electric–Gas System Based on MADDPG," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    13. Fernández-Guillamón, Ana & Gómez-Lázaro, Emilio & Muljadi, Eduard & Molina-García, Ángel, 2019. "Power systems with high renewable energy sources: A review of inertia and frequency control strategies over time," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    14. Kalyani Makarand Kurundkar & Geetanjali Abhijit Vaidya, 2023. "Stochastic Security-Constrained Economic Dispatch of Load-Following and Contingency Reserves Ancillary Service Using a Grid-Connected Microgrid during Uncertainty," Energies, MDPI, vol. 16(6), pages 1-25, March.
    15. Zhou, Yuekuan & Cao, Sunliang & Hensen, Jan L.M., 2021. "An energy paradigm transition framework from negative towards positive district energy sharing networks—Battery cycling aging, advanced battery management strategies, flexible vehicles-to-buildings in," Applied Energy, Elsevier, vol. 288(C).
    16. Xin Wang & Jun Yang & Lei Chen & Jifeng He, 2017. "Application of Liquid Hydrogen with SMES for Efficient Use of Renewable Energy in the Energy Internet," Energies, MDPI, vol. 10(2), pages 1-20, February.
    17. Sung-Min Cho & Jin-Su Kim & Jae-Chul Kim, 2019. "Optimal Operation Parameter Estimation of Energy Storage for Frequency Regulation," Energies, MDPI, vol. 12(9), pages 1-21, May.
    18. Bhandari, Vivek & Sun, Kaiyang & Homans, Frances, 2018. "The profitability of vehicle to grid for system participants - A case study from the Electricity Reliability Council of Texas," Energy, Elsevier, vol. 153(C), pages 278-286.
    19. Laolu Obafemi Shobayo & Cuong Duc Dao, 2024. "Smart Integration of Renewable Energy Sources Employing Setpoint Frequency Control—An Analysis on the Grid Cost of Balancing," Sustainability, MDPI, vol. 16(22), pages 1-16, November.
    20. Hu, Qian & Zhu, Ziqing & Bu, Siqi & Wing Chan, Ka & Li, Fangxing, 2021. "A multi-market nanogrid P2P energy and ancillary service trading paradigm: Mechanisms and implementations," Applied Energy, Elsevier, vol. 293(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:13:y:2020:i:17:p:4586-:d:408641. 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.