IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i11p2994-d1672808.html
   My bibliography  Save this article

Analysis of Renewable Energy Absorption Potential via Security-Constrained Power System Production Simulation

Author

Listed:
  • Zhihui Feng

    (Economic and Technological Research Institute, State Grid Gansu Electric Power Company, Lanzhou 730050, China)

  • Yaozhong Zhang

    (Economic and Technological Research Institute, State Grid Gansu Electric Power Company, Lanzhou 730050, China)

  • Jiaqi Liu

    (Economic and Technological Research Institute, State Grid Gansu Electric Power Company, Lanzhou 730050, China)

  • Tao Wang

    (Economic and Technological Research Institute, State Grid Gansu Electric Power Company, Lanzhou 730050, China)

  • Ping Cai

    (Economic and Technological Research Institute, State Grid Gansu Electric Power Company, Lanzhou 730050, China)

  • Lixiong Xu

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

Abstract

The increasing penetration of renewable energy sources presents significant challenges for power system stability and operation. Accurately assessing renewable energy absorption capacity is essential to ensuring grid reliability while maximizing renewable integration. This paper proposes a security-constrained sequential production simulation (SPS) framework, which incorporates grid voltage and frequency support constraints to provide a more realistic evaluation of renewable energy absorption capability. Additionally, hierarchical clustering (HC) based on dynamic time warping (DTW) and min-max linkage is employed for temporal aggregation (TA), significantly reducing computational complexity while preserving key system characteristics. A case study on the IEEE 39-bus system, integrating wind and photovoltaic generation alongside high-voltage direct current (HVDC) transmission, demonstrates the effectiveness of the proposed approach. The results show that the security-constrained SPS successfully prevents overvoltage and frequency deviations by bringing additional conventional units online. The study also highlights that increasing grid demand, both locally and through HVDC export, enhances renewable energy absorption, though adequate grid support remains crucial.

Suggested Citation

  • Zhihui Feng & Yaozhong Zhang & Jiaqi Liu & Tao Wang & Ping Cai & Lixiong Xu, 2025. "Analysis of Renewable Energy Absorption Potential via Security-Constrained Power System Production Simulation," Energies, MDPI, vol. 18(11), pages 1-24, June.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2994-:d:1672808
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/11/2994/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/11/2994/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maximilian Hoffmann & Leander Kotzur & Detlef Stolten & Martin Robinius, 2020. "A Review on Time Series Aggregation Methods for Energy System Models," Energies, MDPI, vol. 13(3), pages 1-61, February.
    2. Bien, Jacob & Tibshirani, Robert, 2011. "Hierarchical Clustering With Prototypes via Minimax Linkage," Journal of the American Statistical Association, American Statistical Association, vol. 106(495), pages 1075-1084.
    3. Dan Zhou & Qi Zhang & Yangqing Dan & Fanghong Guo & Jun Qi & Chenyuan Teng & Wenwei Zhou & Haonan Zhu, 2022. "Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production Simulations," Energies, MDPI, vol. 15(19), pages 1-15, September.
    4. Oluwaseun M. Akeyo & Aron Patrick & Dan M. Ionel, 2020. "Study of Renewable Energy Penetration on a Benchmark Generation and Transmission System," Energies, MDPI, vol. 14(1), pages 1-14, December.
    5. Dhanuja Lekshmi J & Zakir Hussain Rather & Bikash C Pal, 2021. "A New Tool to Assess Maximum Permissible Solar PV Penetration in a Power System," Energies, MDPI, vol. 14(24), pages 1-21, December.
    6. Dalala, Zakariya & Al-Omari, Murad & Al-Addous, Mohammad & Bdour, Mathhar & Al-Khasawneh, Yaqoub & Alkasrawi, Malek, 2022. "Increased renewable energy penetration in national electrical grids constraints and solutions," Energy, Elsevier, vol. 246(C).
    7. Shair, Jan & Li, Haozhi & Hu, Jiabing & Xie, Xiaorong, 2021. "Power system stability issues, classifications and research prospects in the context of high-penetration of renewables and power electronics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(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. Oluwafemi Emmanuel Oni & Omowunmi Mary Longe, 2023. "Analysis of Secondary Controller on MTDC Link with Solar PV Integration for Inter-Area Power Oscillation Damping," Energies, MDPI, vol. 16(17), pages 1-18, August.
    2. Kenjiro Yagi & Ramteen Sioshansi, 2023. "Simplifying capacity planning for electricity systems with hydroelectric and renewable generation," Computational Management Science, Springer, vol. 20(1), pages 1-28, December.
    3. Elvira Pelle & Roberta Pappadà, 2021. "A clustering procedure for mixed-type data to explore ego network typologies: an application to elderly people living alone in Italy," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(5), pages 1507-1533, December.
    4. Yin, Linfei & He, Xiaoyu, 2023. "Artificial emotional deep Q learning for real-time smart voltage control of cyber-physical social power systems," Energy, Elsevier, vol. 273(C).
    5. Gautier Marti & Frank Nielsen & Philippe Donnat & S'ebastien Andler, 2016. "On clustering financial time series: a need for distances between dependent random variables," Papers 1603.07822, arXiv.org.
    6. Daniele Candelaresi & Giuseppe Spazzafumo, 2023. "Production of Substitute Natural Gas Integrated with Allam Cycle for Power Generation," Energies, MDPI, vol. 16(5), pages 1-17, February.
    7. Riccardo Fraboni & Gianluca Grazieschi & Simon Pezzutto & Benjamin Mitterrutzner & Eric Wilczynski, 2023. "Environmental Assessment of Residential Space Heating and Cooling Technologies in Europe: A Review of 11 European Member States," Sustainability, MDPI, vol. 15(5), pages 1-22, February.
    8. Tan, Jiawei & Chen, Xingyu & Bu, Yang & Wang, Feng & Wang, Jialing & Huang, Xianan & Hu, Zhenda & Liu, Lin & Lin, Changzhui & Meng, Chao & Lin, Jian & Xie, Shan & Xu, Jinmei & Jing, Rui & Zhao, Yingru, 2024. "Incorporating FFTA based safety assessment of lithium-ion battery energy storage systems in multi-objective optimization for integrated energy systems," Applied Energy, Elsevier, vol. 367(C).
    9. Cristiano Varin & Manuela Cattelan & David Firth, 2016. "Statistical modelling of citation exchange between statistics journals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 1-63, January.
    10. Jonasson, Erik & Fjellstedt, Christoffer & Temiz, Irina, 2024. "Grid impact of co-located offshore renewable energy sources," Renewable Energy, Elsevier, vol. 230(C).
    11. Reveron Baecker, Beneharo & Candas, Soner, 2022. "Co-optimizing transmission and active distribution grids to assess demand-side flexibilities of a carbon-neutral German energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    12. Imed Khabbouchi & Dhaou Said & Aziz Oukaira & Idir Mellal & Lyes Khoukhi, 2023. "Machine Learning and Game-Theoretic Model for Advanced Wind Energy Management Protocol (AWEMP)," Energies, MDPI, vol. 16(5), pages 1-15, February.
    13. Zelaschi, Andrea & Pliotti, Lorenzo & Betti, Giulio & Tonno, Giovanni & Sgrò, Daniele & Martelli, Emanuele, 2025. "An effective MILP model for the optimal design of microgrids with high-reliability requirements," Applied Energy, Elsevier, vol. 383(C).
    14. Giorgio M. Giannuzzi & Viktoriya Mostova & Cosimo Pisani & Salvatore Tessitore & Alfredo Vaccaro, 2022. "Enabling Technologies for Enhancing Power System Stability in the Presence of Converter-Interfaced Generators," Energies, MDPI, vol. 15(21), pages 1-13, October.
    15. Hoffmann, Maximilian & Priesmann, Jan & Nolting, Lars & Praktiknjo, Aaron & Kotzur, Leander & Stolten, Detlef, 2021. "Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models," Applied Energy, Elsevier, vol. 304(C).
    16. Ahmad Amiruddin & Roger Dargaville & Ross Gawler, 2024. "Optimal Integration of Renewable Energy, Energy Storage, and Indonesia’s Super Grid," Energies, MDPI, vol. 17(20), pages 1-29, October.
    17. de Guibert, Paul & Shirizadeh, Behrang & Quirion, Philippe, 2020. "Variable time-step: A method for improving computational tractability for energy system models with long-term storage," Energy, Elsevier, vol. 213(C).
    18. Abdulkadir Atalan, 2023. "Forecasting drinking milk price based on economic, social, and environmental factors using machine learning algorithms," Agribusiness, John Wiley & Sons, Ltd., vol. 39(1), pages 214-241, January.
    19. Tian, Zhe & Wang, Yi & Li, Xiaoyuan & Wen, Li & Niu, Jide & Lu, Yakai, 2024. "Typical daily scenario extraction method based on key features to promote building renewable energy system optimization efficiency," Renewable Energy, Elsevier, vol. 236(C).
    20. Baxter Williams & Daniel Bishop & Patricio Gallardo & J. Geoffrey Chase, 2023. "Demand Side Management in Industrial, Commercial, and Residential Sectors: A Review of Constraints and Considerations," Energies, MDPI, vol. 16(13), pages 1-28, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:18:y:2025:i:11:p:2994-:d:1672808. 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.