IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v195y2022icp395-406.html
   My bibliography  Save this article

Robust frequency risk-constrained unit commitment model for AC-DC system considering wind uncertainty

Author

Listed:
  • Jiang, Sufan
  • Wu, Chuanshen
  • Gao, Shan
  • Pan, Guangsheng
  • Liu, Yu
  • Zhao, Xin
  • Wang, Sicheng

Abstract

With the increasing penetration of volatile renewable energy sources (RES) in power systems, the formulation of RES uncertainty set in the unit commitment (UC) problem poses significant challenges to the operators especially those in AC-DC systems. To overcome the over-conservativeness and computational redundancy in conventional uncertainty formulation methods, this paper induces the stochastic rationale into the robust dispatch model and proposes a two-stage robust frequency risk-constrained unit commitment (FRCUC) model to excavate the system flexibility. Based on the typical characteristics of AC-DC dispatch system, the frequency violation risk (FVR) factors are proposed to enhance the adaptability of uncertainty sets, wherein the HVDC regulation is activated to cope with the extreme uncertain scenarios with lower probability. As a result, being aware of the wind power distribution, the proposed model succeeds in managing the operational risks by fully exploiting the controllability of HVDC system, and the over-conservativeness from conventional robust model is handled by the proposed FVR factors. The outperformance of our model is validated by the numerical experiments on a modified AC-DC system, it is validated that the operational risks are evaluated when considering the violated wind power distribution, and therefore the model economic benefits are promoted when ensuring the reliability.

Suggested Citation

  • Jiang, Sufan & Wu, Chuanshen & Gao, Shan & Pan, Guangsheng & Liu, Yu & Zhao, Xin & Wang, Sicheng, 2022. "Robust frequency risk-constrained unit commitment model for AC-DC system considering wind uncertainty," Renewable Energy, Elsevier, vol. 195(C), pages 395-406.
    • Handle: RePEc:eee:renene:v:195:y:2022:i:c:p:395-406
    DOI: 10.1016/j.renene.2022.06.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122008485
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.06.017?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. Deng, Jingchuan & Li, Hongru & Hu, Jinxing & Liu, Zhenyu, 2021. "A new wind speed scenario generation method based on spatiotemporal dependency structure," Renewable Energy, Elsevier, vol. 163(C), pages 1951-1962.
    2. Oh, Eunsung & Son, Sung-Yong, 2020. "Theoretical energy storage system sizing method and performance analysis for wind power forecast uncertainty management," Renewable Energy, Elsevier, vol. 155(C), pages 1060-1069.
    3. Wang, Shuaishuai & Moan, Torgeir & Jiang, Zhiyu, 2022. "Influence of variability and uncertainty of wind and waves on fatigue damage of a floating wind turbine drivetrain," Renewable Energy, Elsevier, vol. 181(C), pages 870-897.
    4. Cebulla, F. & Fichter, T., 2017. "Merit order or unit-commitment: How does thermal power plant modeling affect storage demand in energy system models?," Renewable Energy, Elsevier, vol. 105(C), pages 117-132.
    5. Liu, Tongxiang & Zhao, Qiujun & Wang, Jianzhou & Gao, Yuyang, 2021. "A novel interval forecasting system for uncertainty modeling based on multi-input multi-output theory: A case study on modern wind stations," Renewable Energy, Elsevier, vol. 163(C), pages 88-104.
    6. Alvarado-Barrios, Lázaro & Rodríguez del Nozal, Álvaro & Boza Valerino, Juan & García Vera, Ignacio & Martínez-Ramos, Jose L., 2020. "Stochastic unit commitment in microgrids: Influence of the load forecasting error and the availability of energy storage," Renewable Energy, Elsevier, vol. 146(C), pages 2060-2069.
    7. Meng, Yongqing & Yan, Shuhao & Wu, Kang & Ning, Lianhui & Li, Xuan & Wang, Xiuli & Wang, Xifan, 2021. "Comparative economic analysis of low frequency AC transmission system for the integration of large offshore wind farms," Renewable Energy, Elsevier, vol. 179(C), pages 1955-1968.
    8. Agostini, Claudio A. & Armijo, Franco A. & Silva, Carlos & Nasirov, Shahriyar, 2021. "The role of frequency regulation remuneration schemes in an energy matrix with high penetration of renewable energy," Renewable Energy, Elsevier, vol. 171(C), pages 1097-1114.
    9. Guo, Wencheng & Yang, Jiandong, 2018. "Modeling and dynamic response control for primary frequency regulation of hydro-turbine governing system with surge tank," Renewable Energy, Elsevier, vol. 121(C), pages 173-187.
    10. Sánchez-Barroso, Gonzalo & González-Domínguez, Jaime & García-Sanz-Calcedo, Justo & Sanz, Joaquín García, 2021. "Markov chains estimation of the optimal periodicity for cleaning photovoltaic panels installed in the dehesa," Renewable Energy, Elsevier, vol. 179(C), pages 537-549.
    11. Gu, Bo & Zhang, Tianren & Meng, Hang & Zhang, Jinhua, 2021. "Short-term forecasting and uncertainty analysis of wind power based on long short-term memory, cloud model and non-parametric kernel density estimation," Renewable Energy, Elsevier, vol. 164(C), pages 687-708.
    12. Jiang, Sufan & Gao, Shan & Pan, Guangsheng & Zhao, Xin & Liu, Yu & Guo, Yasen & Wang, Sicheng, 2020. "A novel robust security constrained unit commitment model considering HVDC regulation," Applied Energy, Elsevier, vol. 278(C).
    13. Kalair, A. & Abas, N. & Khan, N., 2016. "Comparative study of HVAC and HVDC transmission systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1653-1675.
    14. Sandano, Roberto & Farrell, Michael & Basu, Malabika, 2017. "Enhanced master/slave control strategy enabling grid support services and offshore wind power dispatch in a multi-terminal VSC HVDC transmission system," Renewable Energy, Elsevier, vol. 113(C), pages 1580-1588.
    15. Hickman, William & Muzhikyan, Aramazd & Farid, Amro M., 2017. "The synergistic role of renewable energy integration into the unit commitment of the energy water nexus," Renewable Energy, Elsevier, vol. 108(C), pages 220-229.
    16. Kim, SunOh & Hur, Jin, 2021. "Probabilistic power output model of wind generating resources for network congestion management," Renewable Energy, Elsevier, vol. 179(C), pages 1719-1726.
    17. Zhang, Yachao & Liu, Wei & Huang, Zhanghao & Zheng, Feng & Le, Jian & Zhu, Shu, 2021. "Distributionally robust coordination optimization scheduling for electricity-gas-transportation coupled system considering multiple uncertainties," Renewable Energy, Elsevier, vol. 163(C), pages 2037-2052.
    18. Furukakoi, Masahiro & Adewuyi, Oludamilare Bode & Matayoshi, Hidehito & Howlader, Abdul Motin & Senjyu, Tomonobu, 2018. "Multi objective unit commitment with voltage stability and PV uncertainty," Applied Energy, Elsevier, vol. 228(C), pages 618-623.
    19. Edmonds, Lawryn & Derby, Melanie & Hill, Mary & Wu, Hongyu, 2021. "Coordinated operation of water and electricity distribution networks with variable renewable energy and distribution locational marginal pricing," Renewable Energy, Elsevier, vol. 177(C), pages 1438-1450.
    20. Zhou, P. & Jin, R.Y. & Fan, L.W., 2016. "Reliability and economic evaluation of power system with renewables: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 537-547.
    21. Alassi, Abdulrahman & Bañales, Santiago & Ellabban, Omar & Adam, Grain & MacIver, Callum, 2019. "HVDC Transmission: Technology Review, Market Trends and Future Outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 530-554.
    22. Shojaei, Amir Hossein & Ghadimi, Ali Asghar & Miveh, Mohammad Reza & Gandoman, Foad H. & Ahmadi, Abdollah, 2021. "Multiobjective reactive power planning considering the uncertainties of wind farms and loads using Information Gap Decision Theory," Renewable Energy, Elsevier, vol. 163(C), pages 1427-1443.
    23. Zhou, Bo & Ai, Xiaomeng & Fang, Jiakun & Yao, Wei & Zuo, Wenping & Chen, Zhe & Wen, Jinyu, 2019. "Data-adaptive robust unit commitment in the hybrid AC/DC power system," Applied Energy, Elsevier, vol. 254(C).
    24. Putz, Dominik & Gumhalter, Michael & Auer, Hans, 2021. "A novel approach to multi-horizon wind power forecasting based on deep neural architecture," Renewable Energy, Elsevier, vol. 178(C), pages 494-505.
    25. Pan, Guangsheng & Gu, Wei & Wu, Zhi & Lu, Yuping & Lu, Shuai, 2019. "Optimal design and operation of multi-energy system with load aggregator considering nodal energy prices," Applied Energy, Elsevier, vol. 239(C), pages 280-295.
    26. Nycander, Elis & Söder, Lennart & Olauson, Jon & Eriksson, Robert, 2020. "Curtailment analysis for the Nordic power system considering transmission capacity, inertia limits and generation flexibility," Renewable Energy, Elsevier, vol. 152(C), pages 942-960.
    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. Jiménez, Diego & Angulo, Alejandro & Street, Alexandre & Mancilla-David, Fernando, 2023. "A closed-loop data-driven optimization framework for the unit commitment problem: A Q-learning approach under real-time operation," Applied Energy, Elsevier, vol. 330(PB).
    2. Jiang, Boyou & Guo, Chuangxin & Chen, Zhe, 2024. "Frequency constrained unit commitment considering reserve provision of wind power," Applied Energy, Elsevier, vol. 361(C).
    3. Qiu, Haifeng & Sun, Qirun & Lu, Xi & Beng Gooi, Hoay & Zhang, Suhan, 2022. "Optimality-feasibility-aware multistage unit commitment considering nonanticipative realization of uncertainty," Applied Energy, Elsevier, vol. 327(C).

    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. Jiang, Sufan & Gao, Shan & Pan, Guangsheng & Zhao, Xin & Liu, Yu & Guo, Yasen & Wang, Sicheng, 2020. "A novel robust security constrained unit commitment model considering HVDC regulation," Applied Energy, Elsevier, vol. 278(C).
    2. Jiang, Sufan & Gao, Shan & Pan, Guangsheng & Liu, Yu & Wu, Chuanshen & Wang, Sicheng, 2021. "Congestion-aware robust security constrained unit commitment model for AC-DC grids," Applied Energy, Elsevier, vol. 304(C).
    3. Qing, Ke & Du, Yuefang & Huang, Qi & Duan, Chao & Hu, Weihao, 2024. "Energy scheduling for microgrids with renewable energy sources considering an adjustable convex hull based uncertainty set," Renewable Energy, Elsevier, vol. 220(C).
    4. Nansheng Pang & Wenjing Guo, 2019. "Uncertain Hybrid Multiple Attribute Group Decision of Offshore Wind Power Transmission Mode Based on theVIKOR Method," Sustainability, MDPI, vol. 11(21), pages 1-21, November.
    5. Xiaodong Li & Zheng Xu, 2021. "Feasibility Evaluation on Elimination of DC Filters for Line-Commutated Converter-Based High-Voltage Direct Current Projects in New Situations," Energies, MDPI, vol. 14(18), pages 1-16, September.
    6. Biéron, M. & Le Dréau, J. & Haas, B., 2023. "Assessment of the marginal technologies reacting to demand response events: A French case-study," Energy, Elsevier, vol. 275(C).
    7. Guo, Xusheng & Lou, Suhua & Chen, Zhe & Wu, Yaowu, 2022. "Flexible operation of integrated energy system with HVDC infeed considering multi-retrofitted combined heat and power units," Applied Energy, Elsevier, vol. 325(C).
    8. Liao, Shengli & Yang, Hualong & Liu, Benxi & Zhao, Hongye & Liu, Huan & Ma, Xiangyu & Wu, Huijun, 2022. "Daily peak-shaving model of cascade hydropower serving multi-grids considering an HVDC channel shared constraint," Renewable Energy, Elsevier, vol. 199(C), pages 112-122.
    9. Wu, Yunyun & Fang, Jiakun & Ai, Xiaomeng & Xue, Xizhen & Cui, Shichang & Chen, Xia & Wen, Jinyu, 2023. "Robust co-planning of AC/DC transmission network and energy storage considering uncertainty of renewable energy," Applied Energy, Elsevier, vol. 339(C).
    10. Nikolaidis, Pavlos & Poullikkas, Andreas, 2021. "A novel cluster-based spinning reserve dynamic model for wind and PV power reinforcement," Energy, Elsevier, vol. 234(C).
    11. Hu, Jinhong & Yang, Jiebin & He, Xianghui & Zhao, Zhigao & Yang, Jiandong, 2023. "Transient analysis of a hydropower plant with a super-long headrace tunnel during load acceptance: Instability mechanism and measurement verification," Energy, Elsevier, vol. 263(PA).
    12. d'Amore-Domenech, Rafael & Leo, Teresa J. & Pollet, Bruno G., 2021. "Bulk power transmission at sea: Life cycle cost comparison of electricity and hydrogen as energy vectors," Applied Energy, Elsevier, vol. 288(C).
    13. Gils, Hans Christian & Gardian, Hedda & Kittel, Martin & Schill, Wolf-Peter & Zerrahn, Alexander & Murmann, Alexander & Launer, Jann & Fehler, Alexander & Gaumnitz, Felix & van Ouwerkerk, Jonas & Bußa, 2022. "Modeling flexibility in energy systems — comparison of power sector models based on simplified test cases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    14. Csereklyei, Zsuzsanna & Qu, Songze & Ancev, Tihomir, 2019. "The effect of wind and solar power generation on wholesale electricity prices in Australia," Energy Policy, Elsevier, vol. 131(C), pages 358-369.
    15. Pavičević, Matija & De Felice, Matteo & Busch, Sebastian & Hidalgo González, Ignacio & Quoilin, Sylvain, 2021. "Water-energy nexus in African power pools – The Dispa-SET Africa model," Energy, Elsevier, vol. 228(C).
    16. Lim, Juin Yau & Safder, Usman & How, Bing Shen & Ifaei, Pouya & Yoo, Chang Kyoo, 2021. "Nationwide sustainable renewable energy and Power-to-X deployment planning in South Korea assisted with forecasting model," Applied Energy, Elsevier, vol. 283(C).
    17. Helistö, Niina & Kiviluoma, Juha & Morales-España, Germán & O’Dwyer, Ciara, 2021. "Impact of operational details and temporal representations on investment planning in energy systems dominated by wind and solar," Applied Energy, Elsevier, vol. 290(C).
    18. David Firnando Silalahi & Andrew Blakers & Cheng Cheng, 2023. "100% Renewable Electricity in Indonesia," Energies, MDPI, vol. 17(1), pages 1-22, December.
    19. Jing-Li Fan & Zezheng Li & Xi Huang & Kai Li & Xian Zhang & Xi Lu & Jianzhong Wu & Klaus Hubacek & Bo Shen, 2023. "A net-zero emissions strategy for China’s power sector using carbon-capture utilization and storage," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    20. Guo, Wencheng & Peng, Zhiyuan, 2019. "Hydropower system operation stability considering the coupling effect of water potential energy in surge tank and power grid," Renewable Energy, Elsevier, vol. 134(C), pages 846-861.

    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:renene:v:195:y:2022:i:c:p:395-406. 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.journals.elsevier.com/renewable-energy .

    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.