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An online method for MILP co-planning model of large-scale transmission expansion planning and energy storage systems considering N-1 criterion

Mazaheri, H ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1049/gtd2.12050
  3. Publisher: John Wiley and Sons Inc , 2021
  4. Abstract:
  5. In recent years, increased integration of renewable energy sources (RES) calls for extensive and costly investments in transmission networks. In response, power system decision-makers try to apply alternative solutions aimed to decrease the imposed investment costs. In this context, the presence of large-scale energy storage systems (ESSs) in transmission network can be a practical option for deferring investment in expansion plans of transmission lines, alleviating system congestions, and attaining higher flexibility. In this paper, an efficient model is proposed for co-planning expansion studies of compressed air energy storage (CAES) units and transmission networks. The associated optimisation formulation of co-planning problem is expressed as a MILP model, which can be efficiently solved. The proposed model is applied on the Garver as well as RTS test systems and N-1 criterion is considered to address the system reliability performance in expansion studies. The results demonstrate that the proposed co-planning framework has a superior performance in expansion plans of transmission systems. © 2020 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology
  6. Keywords:
  7. Compressed air ; Data storage equipment ; Decision making ; Electric power transmission ; Energy storage ; Integer programming ; Online systems ; Renewable energy resources ; Alternative solutions ; Compressed air energy storages (CAES) ; Energy storage systems ; Energy Storage Systems (ESSs) ; Integration of renewable energies ; System reliability ; Transmission expansion planning ; Transmission systems ; Investments
  8. Source: IET Generation, Transmission and Distribution ; Volume 15, Issue 4 , 2021 , Pages 664-677 ; 17518687 (ISSN)
  9. URL: https://onlinelibrary.wiley.com/doi/10.1049/gtd2.12050