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A source–grid–load coordinated power planning model considering the integration of wind power generation

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  • Zhang, Ning
  • Hu, Zhaoguang
  • Shen, Bo
  • Dang, Shuping
  • Zhang, Jian
  • Zhou, Yuhui

Abstract

Power system planning approach should meet the new requirements brought by continuous development of power systems. In recent years, wind power generation capacity keeps a rapid growth, but the problem of wind power curtailment becomes increasingly serious in some countries. The limitations of wind power integration produced by power systems, such as the inconsistency between installed generation capacity and transmission capacity and the insufficiency of regulation capacity, are drawing the attention in both academia and industry. This paper proposes a source–grid–load coordinated planning model for power systems with regulation capacity constraints being taken into account. In this novel model, traditional generation expansion planning and transmission expansion planning are integrated, and the peak-load regulation capacity and flexible regulation capability of power systems are considered. Meanwhile, the positive impacts of demand response are also taken into consideration. The numerical study verifies that the source–grid–load coordinated planning model can not only reduce the overall cost of the system, but also improve the wind power integration capacity and guarantee the sustainable development of wind power generation.

Suggested Citation

  • Zhang, Ning & Hu, Zhaoguang & Shen, Bo & Dang, Shuping & Zhang, Jian & Zhou, Yuhui, 2016. "A source–grid–load coordinated power planning model considering the integration of wind power generation," Applied Energy, Elsevier, vol. 168(C), pages 13-24.
    • Handle: RePEc:eee:appene:v:168:y:2016:i:c:p:13-24
    DOI: 10.1016/j.apenergy.2016.01.086
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    References listed on IDEAS

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    1. Hemmati, Reza & Hooshmand, Rahmat-Allah & Khodabakhshian, Amin, 2013. "State-of-the-art of transmission expansion planning: Comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 312-319.
    2. He, Y.X. & Xia, T. & Liu, Z.Y. & Zhang, T. & Dong, Z., 2013. "Evaluation of the capability of accepting large-scale wind power in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 509-516.
    3. Hasan, Kazi Nazmul & Saha, Tapan Kumar & Chattopadhyay, Deb & Eghbal, Mehdi, 2014. "Benefit-based expansion cost allocation for large scale remote renewable power integration into the Australian grid," Applied Energy, Elsevier, vol. 113(C), pages 836-847.
    4. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2013. "An integrated model for long-term power generation planning toward future smart electricity systems," Applied Energy, Elsevier, vol. 112(C), pages 1424-1437.
    5. Koltsaklis, Nikolaos E. & Georgiadis, Michael C., 2015. "A multi-period, multi-regional generation expansion planning model incorporating unit commitment constraints," Applied Energy, Elsevier, vol. 158(C), pages 310-331.
    6. Gitizadeh, Mohsen & Kaji, Mahdi & Aghaei, Jamshid, 2013. "Risk based multiobjective generation expansion planning considering renewable energy sources," Energy, Elsevier, vol. 50(C), pages 74-82.
    7. Shen, Bo & Ghatikar, Girish & Lei, Zeng & Li, Jinkai & Wikler, Greg & Martin, Phil, 2014. "The role of regulatory reforms, market changes, and technology development to make demand response a viable resource in meeting energy challenges," Applied Energy, Elsevier, vol. 130(C), pages 814-823.
    8. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Kopanos, Georgios M. & Pistikopoulos, Efstratios N. & Georgiadis, Michael C., 2014. "A spatial multi-period long-term energy planning model: A case study of the Greek power system," Applied Energy, Elsevier, vol. 115(C), pages 456-482.
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