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A novel approach for distant wind farm interconnection: Iran South-West wind farms integration

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  • Javadi, Mohammad Sadegh
  • Razavi, Seyed-Ehsan
  • Ahmadi, Abdollah
  • Siano, Pierluigi

Abstract

A multi-objective wind farm integration framework is proposed in this paper which considers the composite generation and reliability assessment and annualized operating and investment cost evaluation. An emission-controlled policy is adopted such that the amount of SOx and NOx decreases in line with renewable resource planning. Since the incorporation of large-scale distant wind farms is a problem of the multi-objective mixed-integer type with nonlinearities and non-convexities, this paper utilizes a fast elicit multi-objective Non-dominated Sorting Genetic Algorithm II (NSGA II) by probabilistic indices. It is noted that the impacts of the unavailability of the transmission system are modeled employing DC Optimal Power Flow (OPF) based on the incidence matrix together with the static security evaluation. Furthermore, in order to assess the performance of the suggested approach, the model is implemented on the Roy Billinton Test System (RBTS). Afterwards, distant wind farms integration into Iran’s South-West Regional Grid (ISWRG) is studied.

Suggested Citation

  • Javadi, Mohammad Sadegh & Razavi, Seyed-Ehsan & Ahmadi, Abdollah & Siano, Pierluigi, 2019. "A novel approach for distant wind farm interconnection: Iran South-West wind farms integration," Renewable Energy, Elsevier, vol. 140(C), pages 737-750.
    • Handle: RePEc:eee:renene:v:140:y:2019:i:c:p:737-750
    DOI: 10.1016/j.renene.2019.03.099
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    References listed on IDEAS

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    1. Mansouri, Seyed Amir & Ahmarinejad, Amir & Javadi, Mohammad Sadegh & Catalão, João P.S., 2020. "Two-stage stochastic framework for energy hubs planning considering demand response programs," Energy, Elsevier, vol. 206(C).

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