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Harnessing power system flexibility under multiple uncertainties

Mazaheri, H ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1049/gtd2.12526
  3. Publisher: John Wiley and Sons Inc , 2022
  4. Abstract:
  5. Increasing the intermittent outputs of renewable energy sources (RESs) has forced planners to define a new concept named flexibility. In this regard, some short- and long-term solutions, such as transmission expansion planning (TEP) and energy storage systems (ESSs) have been suggested to improve the flexibility amount. A proper optimization procedure is required to choose an optimal solution to improve flexibility. Therefore, a mixed-integer linear programming (MILP) direct-optimization TEP versus ESSs co-planning model is presented in this paper to enhance power system flexibility. In doing so, a novel RES-BESS-based grid-scale system flexibility metric is proposed to investigate the improvement of flexibility amount via ESSs modules in the numerical structure. In this paper, a novel repetitive fast offline method has been proposed to quickly reach the desired amount of flexibility by defining an engineering price/benefit trade-off to finally find the best investment plan. Also, multiple uncertainties associated with wind farms and demanded loads and a practical module-type battery energy storage system (BESS) structure for each node are defined. The proposed model is applied to the modified IEEE 73-bus test system including wind farms, where the numerical results prove the model efficiency as BESS impacts on flexibility, investment plans and power system economics. © 2022 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology
  6. Keywords:
  7. Economic and social effects ; Economics ; Electric power system interconnection ; Electric power system planning ; Electric power transmission ; Energy storage ; Integer programming ; Investments ; Wind power ; Battery energy storage systems ; Investment plan ; Long-term solutions ; Optimization procedures ; Power system flexibilities ; Renewable energy source ; Storage systems ; Transmission expansion-planning ; Uncertainty ; Wind farm ; Electric utilities
  8. Source: IET Generation, Transmission and Distribution ; Volume 16, Issue 14 , 2022 , Pages 2878-2890 ; 17518687 (ISSN)
  9. URL: https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/gtd2.12526