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Developing a market-oriented approach for supplying flexibility ramping products in a multimicrogrid distribution system

Ghaemi, S ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1109/TII.2020.3047600
  3. Publisher: IEEE Computer Society , 2021
  4. Abstract:
  5. Rapid growth of the variable and intermittent renewable generation in multimicrogrid distribution network (MMG-DN) has derived a gross violation in power balance due to the scarcity of ramp capacity. To neutralize this shortage, the present study develops a market-oriented approach for supplying flexibility ramping products (FRPs) in an MMG-DN. In this article, the proposed approach appraises a ramping capacity of local microgrids (MGs), which encompass various distributed energy resources through a bilevel programming. To do so, an interval-based security constraint economic dispatch process is accomplished at the upper level considering the network's requirement of upward/downward ramp capacity along with addressing the uncertainties. In addition, local MGs establish their optimal bidding strategies to supply FRPs at the lower level according to the offer prices from the distribution network. A direct mathematical technique has been utilized to convert the proposed bilevel programming into the single level one called mathematical program with equilibrium constraints (MPEC). Finally, the adopted nonlinear MPEC transforms into a mixed-integer linear programming using the strong duality theorem. The proposed approach has been examined on a test system. The results prove efficiency of the proposed framework in providing adequate FRPs for the MMG-DN without relying on the upstream grid. © 2005-2012 IEEE
  6. Keywords:
  7. Commerce ; Economic analysis ; Electric load dispatching ; Energy resources ; Fiber reinforced plastics ; Mathematical transformations ; Microgrids ; Scheduling ; Bi-level programming ; Distributed Energy Resources ; Distribution systems ; Mathematical program with equilibrium constraints ; Mixed integer linear programming ; Optimal bidding strategy ; Renewable generation ; Strong duality theorems ; Integer programming
  8. Source: IEEE Transactions on Industrial Informatics ; Volume 17, Issue 10 , 2021 , Pages 6765-6775 ; 15513203 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/9309340