IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v27y2013i15p5045-5067.html
   My bibliography  Save this article

Self-Optimization Simulation Model of Short-Term Cascaded Hydroelectric System Dispatching Based on the Daily Load Curve

Author

Listed:
  • Xin-Ming Zhang
  • Li-ping Wang
  • Ji-wei Li
  • Yan-ke Zhang

Abstract

Short-term optimization dispatching of cascaded hydroelectric system with day (or week) cycle is of great value in practical implementation, such as improving grid stability, more power benefits. This study proposes a short-term self-optimization simulation model for cascaded hydroelectric system dispatching, which balances the requirements both of the generation side and the demand side. Three conflicting objectives for the management of hydropower generation are incorporated in the cascaded hydroelectric system. And in this model, the reasonable physical factors are chosen to coordinate the contradiction. According to the characteristics of the self-optimization simulation technique, for example clear physical meaning, more perfect simulation, no dimension limitation, artificial adjustment with the accumulated experience and so on, a new solving idea for this model is set up. And the new operation model is illustrated in the middle reaches of the Chinese Jinsha River, where eight cascades are planned. Considering the different startup time and combinations, the results of the joint operation compared to the single reservoir operation has provided important demonstration for the investment entities, simultaneously the solving efficiency and quality of this model are good for implementing in practical. Copyright The Author(s) 2013

Suggested Citation

  • Xin-Ming Zhang & Li-ping Wang & Ji-wei Li & Yan-ke Zhang, 2013. "Self-Optimization Simulation Model of Short-Term Cascaded Hydroelectric System Dispatching Based on the Daily Load Curve," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(15), pages 5045-5067, December.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:15:p:5045-5067
    DOI: 10.1007/s11269-013-0450-9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-013-0450-9
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-013-0450-9?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. Pekala, Lukasz M. & Tan, Raymond R. & Foo, Dominic C.Y. & Jezowski, Jacek M., 2010. "Optimal energy planning models with carbon footprint constraints," Applied Energy, Elsevier, vol. 87(6), pages 1903-1910, June.
    2. Noor Khan & Mukand Babel & Tawatchai Tingsanchali & Roberto Clemente & Huynh Luong, 2012. "Reservoir Optimization-Simulation with a Sediment Evacuation Model to Minimize Irrigation Deficits," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3173-3193, September.
    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. Yanpin Li & Huiliang Wang & Zichao Zhang & Huawei Li & Xiaoli Wang & Qifan Zhang & Tong Zhou & Peng Zhang & Fengxiang Chang, 2023. "Optimal Scheduling of the Wind-Photovoltaic-Energy Storage Multi-Energy Complementary System Considering Battery Service Life," Energies, MDPI, vol. 16(13), pages 1-17, June.
    2. Barry, Michael & Baur, Patrick & Gaudard, Ludovic & Giuliani, Gianluca & Hediger, Werner & Romerio, Franco & Schillinger, Moritz & Schumann, René & Voegeli, Gillaume & Weigt, Hannes, 2015. "The Future of Swiss Hydropower A Review on Drivers and Uncertainties," Working papers 2015/11, Faculty of Business and Economics - University of Basel.
    3. T. Cohen Liechti & J. Matos & J.-L. Boillat & A. Schleiss, 2015. "Influence of Hydropower Development on Flow Regime in the Zambezi River Basin for Different Scenarios of Environmental Flows," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(3), pages 731-747, February.
    4. Liu Yuan & Jianzhong Zhou & Chunlong Li & Mengfei Xie & Li Mo, 2016. "Benefit and Risk Balance Optimization for Stochastic Hydropower Scheduling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3347-3361, August.
    5. Liu Yuan & Jianzhong Zhou, 2017. "Self-Optimization System Dynamics Simulation of Real-Time Short Term Cascade Hydropower System Considering Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(7), pages 2127-2140, May.
    6. Balkhair, Khaled S. & Rahman, Khalil Ur, 2017. "Sustainable and economical small-scale and low-head hydropower generation: A promising alternative potential solution for energy generation at local and regional scale," Applied Energy, Elsevier, vol. 188(C), pages 378-391.

    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. Li, Y.P. & Huang, G.H. & Li, M.W., 2014. "An integrated optimization modeling approach for planning emission trading and clean-energy development under uncertainty," Renewable Energy, Elsevier, vol. 62(C), pages 31-46.
    2. Muhammad Usman Rashid & Abid Latif & Muhammad Azmat, 2018. "Optimizing Irrigation Deficit of Multipurpose Cascade Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1675-1687, March.
    3. Tan, Raymond R. & Aviso, Kathleen B. & Barilea, Ivan U. & Culaba, Alvin B. & Cruz, Jose B., 2012. "A fuzzy multi-regional input–output optimization model for biomass production and trade under resource and footprint constraints," Applied Energy, Elsevier, vol. 90(1), pages 154-160.
    4. Dong, C. & Huang, G.H. & Cai, Y.P. & Liu, Y., 2012. "An inexact optimization modeling approach for supporting energy systems planning and air pollution mitigation in Beijing city," Energy, Elsevier, vol. 37(1), pages 673-688.
    5. Bentsen, Niclas Scott & Jack, Michael W. & Felby, Claus & Thorsen, Bo Jellesmark, 2014. "Allocation of biomass resources for minimising energy system greenhouse gas emissions," Energy, Elsevier, vol. 69(C), pages 506-515.
    6. Maitri Verma & Alok Kumar Verma & A. K. Misra, 2021. "Mathematical modeling and optimal control of carbon dioxide emissions from energy sector," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13919-13944, September.
    7. Chen, C. & Li, Y.P. & Huang, G.H., 2016. "Interval-fuzzy municipal-scale energy model for identification of optimal strategies for energy management – A case study of Tianjin, China," Renewable Energy, Elsevier, vol. 86(C), pages 1161-1177.
    8. Liu, Yuan & He, Li & Shen, Jing, 2017. "Optimization-based provincial hybrid renewable and non-renewable energy planning – A case study of Shanxi, China," Energy, Elsevier, vol. 128(C), pages 839-856.
    9. Yu, Dongwei & Tan, Hongwei & Ruan, Yingjun, 2012. "An improved two-step floating catchment area method for supporting district building energy planning: A case study of Yongding County city, China," Applied Energy, Elsevier, vol. 95(C), pages 156-163.
    10. Lopez, Neil Stephen A. & Foo, Dominic C.Y. & Tan, Raymond R., 2021. "Optimizing regional electricity trading with Carbon Emissions Pinch Analysis," Energy, Elsevier, vol. 237(C).
    11. N. Adam & S. Erpicum & P. Archambeau & M. Pirotton & B. Dewals, 2015. "Stochastic Modelling of Reservoir Sedimentation in a Semi-Arid Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(3), pages 785-800, February.
    12. Julien Ancel & Théo Mandonnet & Michel de Lara, 2022. "French Optimal and Robust Trade Policies Under Carbon Footprint Reduction Constraint and Uncertainties," Working Papers hal-03721999, HAL.
    13. Lee, Jui-Yuan & Tan, Raymond R. & Chen, Cheng-Liang, 2014. "A unified model for the deployment of carbon capture and storage," Applied Energy, Elsevier, vol. 121(C), pages 140-148.
    14. Sinha, Rakesh Kumar & Chaturvedi, Nitin Dutt, 2019. "A review on carbon emission reduction in industries and planning emission limits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    15. D. Fu & Y. Li & G. Huang, 2013. "A Factorial-based Dynamic Analysis Method for Reservoir Operation Under Fuzzy-stochastic Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4591-4610, October.
    16. Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," Applied Energy, Elsevier, vol. 99(C), pages 97-108.
    17. Morvaj, Boran & Evins, Ralph & Carmeliet, Jan, 2017. "Decarbonizing the electricity grid: The impact on urban energy systems, distribution grids and district heating potential," Applied Energy, Elsevier, vol. 191(C), pages 125-140.
    18. Curtin, Richard, 2011. "An energy balance and greenhouse gas profile for county Wexford, Ireland in 2006," Applied Energy, Elsevier, vol. 88(11), pages 3773-3781.
    19. Huang, Yuping & Zheng, Qipeng P. & Fan, Neng & Aminian, Kashy, 2014. "Optimal scheduling for enhanced coal bed methane production through CO2 injection," Applied Energy, Elsevier, vol. 113(C), pages 1475-1483.
    20. Morvaj, Boran & Evins, Ralph & Carmeliet, Jan, 2016. "Optimization framework for distributed energy systems with integrated electrical grid constraints," Applied Energy, Elsevier, vol. 171(C), pages 296-313.

    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:spr:waterr:v:27:y:2013:i:15:p:5045-5067. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.