IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i11p4313-d1155082.html
   My bibliography  Save this article

Effects of Ramp Rate Limit on Sizing of Energy Storage Systems for PV, Wind and PV–Wind Power Plants

Author

Listed:
  • Micke Talvi

    (Electrical Engineering Unit, Tampere University, Korkeakoulunkatu 3, 33720 Tampere, Finland)

  • Tomi Roinila

    (Electrical Engineering Unit, Tampere University, Korkeakoulunkatu 3, 33720 Tampere, Finland)

  • Kari Lappalainen

    (Electrical Engineering Unit, Tampere University, Korkeakoulunkatu 3, 33720 Tampere, Finland)

Abstract

As the share of highly variable photovoltaic (PV) and wind power production increases, there is a growing need to smooth their fast power fluctuations. Some countries have set power ramp rate (RR) limits that the output powers of power plants may not exceed. In this study, the effects of RR limit on the sizing of energy storage systems (ESS) for PV, wind, and PV–wind power plants are examined. These effects have been studied prior for PV power plants. However, for the wind and PV–wind power plants, the effects of the RR limit are studied comprehensively for the first time. In addition, the effects of the size of the power plant are considered. The study is based on climatic measurements carried out with a sampling frequency of 10 Hz for a period of 153 days. The modeling of the PV and wind powers and the simulation of the RR-based control algorithm of the ESS were completed using MATLAB. The results show that as the applied RR limit increased from 1%/min to 20%/min, the required relative energy capacities of the ESSs of the PV, wind, and PV–wind power plants decreased roughly 88%, 89%, and 89%, respectively. The required relative power capacities of the ESSs of the PV, wind, and PV–wind power plants decreased roughly 15%, 12%, and 20%, respectively. The utilization of the ESSs was found to decrease as the applied RR limit increased and as the size of the power plant grew.

Suggested Citation

  • Micke Talvi & Tomi Roinila & Kari Lappalainen, 2023. "Effects of Ramp Rate Limit on Sizing of Energy Storage Systems for PV, Wind and PV–Wind Power Plants," Energies, MDPI, vol. 16(11), pages 1-18, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4313-:d:1155082
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/11/4313/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/11/4313/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wei Wang & Chengxiong Mao & Jiming Lu & Dan Wang, 2013. "An Energy Storage System Sizing Method for Wind Power Integration," Energies, MDPI, vol. 6(7), pages 1-13, July.
    2. Lappalainen, Kari & Valkealahti, Seppo, 2022. "Sizing of energy storage systems for ramp rate control of photovoltaic strings," Renewable Energy, Elsevier, vol. 196(C), pages 1366-1375.
    3. Lappalainen, Kari & Valkealahti, Seppo, 2021. "Experimental study of the maximum power point characteristics of partially shaded photovoltaic strings," Applied Energy, Elsevier, vol. 301(C).
    4. Sang Heon Chae & Chul Uoong Kang & Eel-Hwan Kim, 2020. "Field Test of Wind Power Output Fluctuation Control Using an Energy Storage System on Jeju Island," Energies, MDPI, vol. 13(21), pages 1-16, November.
    5. Abdullah Al-Shereiqi & Amer Al-Hinai & Mohammed Albadi & Rashid Al-Abri, 2021. "Optimal Sizing of Hybrid Wind-Solar Power Systems to Suppress Output Fluctuation," Energies, MDPI, vol. 14(17), pages 1-16, August.
    6. Headley, Alexander J. & Copp, David A., 2020. "Energy storage sizing for grid compatibility of intermittent renewable resources: A California case study," Energy, Elsevier, vol. 198(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. Lou, Siwei & Zhang, Dequan & Li, Danny H.W. & Huang, Yu, 2024. "Evaluating solar ramp rate correlations by simple radiation and wind measurements," Renewable Energy, Elsevier, vol. 235(C).
    2. Hong, Sanghyun & Kim, Eunsung & Jeong, Saerok, 2023. "Evaluating the sustainability of the hydrogen economy using multi-criteria decision-making analysis in Korea," Renewable Energy, Elsevier, vol. 204(C), pages 485-492.
    3. Brumana, Giovanni & Franchini, Giuseppe & Ghirardi, Elisa & Perdichizzi, Antonio, 2022. "Techno-economic optimization of hybrid power generation systems: A renewables community case study," Energy, Elsevier, vol. 246(C).
    4. Efstathios E. Michaelides, 2022. "Transition to Renewable Energy for Communities: Energy Storage Requirements and Dissipation," Energies, MDPI, vol. 15(16), pages 1-11, August.
    5. Colak, Ilhami & Kabalci, Ersan & Fulli, Gianluca & Lazarou, Stavros, 2015. "A survey on the contributions of power electronics to smart grid systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 562-579.
    6. Pillot, Benjamin & Al-Kurdi, Nadeem & Gervet, Carmen & Linguet, Laurent, 2021. "Optimizing operational costs and PV production at utility scale: An optical fiber network analogy for solar park clustering," Applied Energy, Elsevier, vol. 298(C).
    7. Copp, David A. & Nguyen, Tu A. & Byrne, Raymond H. & Chalamala, Babu R., 2022. "Optimal sizing of distributed energy resources for planning 100% renewable electric power systems," Energy, Elsevier, vol. 239(PE).
    8. Yan, Zhe & Zhang, Yongming & Liang, Runqi & Jin, Wenrui, 2020. "An allocative method of hybrid electrical and thermal energy storage capacity for load shifting based on seasonal difference in district energy planning," Energy, Elsevier, vol. 207(C).
    9. Catalina González-Castaño & Carlos Restrepo & Javier Revelo-Fuelagán & Leandro L. Lorente-Leyva & Diego H. Peluffo-Ordóñez, 2021. "A Fast-Tracking Hybrid MPPT Based on Surface-Based Polynomial Fitting and P&O Methods for Solar PV under Partial Shaded Conditions," Mathematics, MDPI, vol. 9(21), pages 1-23, October.
    10. Gao, Fang & Hu, Rongzhao & Yin, Linfei, 2023. "Variable boundary reinforcement learning for maximum power point tracking of photovoltaic grid-connected systems," Energy, Elsevier, vol. 264(C).
    11. Lappalainen, Kari & Valkealahti, Seppo, 2022. "Sizing of energy storage systems for ramp rate control of photovoltaic strings," Renewable Energy, Elsevier, vol. 196(C), pages 1366-1375.
    12. Ander Zubiria & Álvaro Menéndez & Hans-Jürgen Grande & Pilar Meneses & Gregorio Fernández, 2022. "Multi-Criteria Decision-Making Problem for Energy Storage Technology Selection for Different Grid Applications," Energies, MDPI, vol. 15(20), pages 1-25, October.
    13. Villemin, Thomas & Claverie, Rémy & Sawicki, Jean-Paul & Parent, Gilles, 2022. "Thermal characterization of a photovoltaic panel under controlled conditions," Renewable Energy, Elsevier, vol. 198(C), pages 28-40.
    14. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2018. "Battery energy storage system size determination in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 109-125.
    15. Zhe Jiang & Xueshan Han & Zhimin Li & Wenbo Li & Mengxia Wang & Mingqiang Wang, 2016. "Two-Stage Multi-Objective Collaborative Scheduling for Wind Farm and Battery Switch Station," Energies, MDPI, vol. 9(11), pages 1-17, October.
    16. Fattaheian-Dehkordi, Sajjad & Abbaspour, Ali & Fotuhi-Firuzabad, Mahmud & Lehtonen, Matti, 2022. "A new management framework for mitigating intense ramping in distribution systems," Energy, Elsevier, vol. 254(PA).
    17. Fernando M. Camilo & Paulo Santos, 2023. "Technical-Economic Evaluation of Residential Wind and Photovoltaic Systems with Self-Consumption and Storage Systems in Portugal," Energies, MDPI, vol. 16(4), pages 1-21, February.
    18. Pearre, Nathaniel & Swan, Lukas, 2020. "Reimagining renewable electricity grid management with dispatchable generation to stabilize energy storage," Energy, Elsevier, vol. 203(C).
    19. Chen, Xiaofei & Xiao, Jinmei & Yuan, Jiaqi & Xiao, Ziwei & Gang, Wenjie, 2021. "Application and performance analysis of 100% renewable energy systems serving low-density communities," Renewable Energy, Elsevier, vol. 176(C), pages 433-446.
    20. Jiang, Hou & Lu, Ning & Qin, Jun & Yao, Ling, 2021. "Hierarchical identification of solar radiation zones in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(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:16:y:2023:i:11:p:4313-:d:1155082. 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.