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Dynamic uncertainty set characterization for bulk power grid flexibility assessment

Pourahmadi, F ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1109/JSYST.2019.2901358
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2020
  4. Abstract:
  5. The increasing variability of renewables and volatile chronological net-load in power grids engenders significant risks of an uncertain sufficiency of flexible capacity. Although considerable advances in power grid flexibility assessment have been made, modeling the effect of temporal correlations associated with wind generations on the system flexibility provision capability has remained a challenge. This paper proposes a novel UC-time-scale security-constrained affinely robust formulation for wind-originated uncertainty sets in order to evaluate the system flexibility capacity over time. An efficient model based on duality theorem and affine policy is proposed to assess a secure region in response to uncertain wind generation scenarios. A framework using a combination of column and constraint generation and alternative direction algorithms is then developed to solve the proposed optimization model. The impacts of the sequential nature of wind generation, a type of dynamic uncertainty set, on the worst cases of generating units' time-coupled ramping constraints are effectively captured to investigate how they contribute to the optimal allowable uncertainty set. Furthermore, the relationship between dynamic uncertainty set boundaries and the imposed re-dispatch costs are numerically investigated. Numerical experiments on the modified IEEE 73-bus test system reveals the efficacy of the suggested model and the proposed solution technique. © 2007-2012 IEEE
  6. Keywords:
  7. Flexibility metrics ; Operational flexibility ; Optimal uncertainty set ; Robust optimization ; Optimization ; Feasibility robustness ; Electric power transmission networks
  8. Source: IEEE Systems Journal ; Volume 14, Issue 1 , 2020 , Pages 718-728
  9. URL: https://ieeexplore.ieee.org/document/8669865