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Information gap decision theory to deal with long-term wind energy planning considering voltage stability

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  • Rabiee, Abbas
  • Nikkhah, Saman
  • Soroudi, Alireza

Abstract

This paper proposes a novel approach for long-term planning of wind energy considering its inherent uncertainty. The uncertainty of wind energy is handled via information gap decision theory (IGDT) method. Additionally, due to the importance of security considerations, loading margin is employed as an index of voltage stability to guarantee the security of power system. The operational constraints (such as power flow equations) in initial operation point considered along with those at the voltage collapse point, simultaneously. Accordingly, the IGDT-based voltage stability constrained wind energy-planning model is proposed that can be used for ensuring the safe operation of power networks. The main feature of this model is to handle the uncertainty of wind energy in the long-term wind energy planning via IGDT technique, by considering voltage stability constraints. In order to evaluate the capability of the IGDT technique for uncertainty handling of wind energy, the obtained results are compared with Monte Carlo simulations. To demonstrate the effectiveness of proposed model, it is applied to the New-England 39-bus test system. The obtained results validated the applicability of the proposed model for optimal wind energy planning. The proposed methodology could help wind farm investors to make optimal large-scale wind energy investment decisions.

Suggested Citation

  • Rabiee, Abbas & Nikkhah, Saman & Soroudi, Alireza, 2018. "Information gap decision theory to deal with long-term wind energy planning considering voltage stability," Energy, Elsevier, vol. 147(C), pages 451-463.
    • Handle: RePEc:eee:energy:v:147:y:2018:i:c:p:451-463
    DOI: 10.1016/j.energy.2018.01.061
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    References listed on IDEAS

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    1. Roy, N.K. & Pota, H.R. & Hossain, M.J., 2013. "Reactive power management of distribution networks with wind generation for improving voltage stability," Renewable Energy, Elsevier, vol. 58(C), pages 85-94.
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    Cited by:

    1. Majidi, M. & Mohammadi-Ivatloo, B. & Soroudi, A., 2019. "Application of information gap decision theory in practical energy problems: A comprehensive review," Applied Energy, Elsevier, vol. 249(C), pages 157-165.
    2. Yadegari, Saeed & Abdi, Hamdi & Nikkhah, Saman, 2020. "Risk-averse multi-objective optimal combined heat and power planning considering voltage security constraints," Energy, Elsevier, vol. 212(C).
    3. Aldarajee, Ammar H.M. & Hosseinian, Seyed H. & Vahidi, Behrooz, 2020. "A secure tri-level planner-disaster-risk-averse replanner model for enhancing the resilience of energy systems," Energy, Elsevier, vol. 204(C).
    4. Razavi, Seyed-Ehsan & Esmaeel Nezhad, Ali & Mavalizadeh, Hani & Raeisi, Fatima & Ahmadi, Abdollah, 2018. "Robust hydrothermal unit commitment: A mixed-integer linear framework," Energy, Elsevier, vol. 165(PB), pages 593-602.

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