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A scenario-based planning framework for energy storage systems with the main goal of mitigating wind curtailment issue

Saber, H ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1016/j.ijepes.2018.07.020
  3. Publisher: Elsevier Ltd , 2019
  4. Abstract:
  5. This paper provides a new multi-objective (MO) framework for expansion studies of energy storage systems (ESSs) in high wind penetrated power system. The proposed approach well considers the issues originated from the wind power curtailment via introducing expected of wind curtailment cost as an objective function of the studies. All other imposed costs of installing storage units are modeled as expected of total social cost. Also, the effect of uncertainties is modeled through an internal scenario analysis. In this regard, two criteria including maximum regrets of wind curtailment cost and total social cost are considered as the other objectives of the proposed MO optimization procedure. These all the crucial and maybe contradictory aspects of the ESSs expansion problem are treated via a Posteriori MO optimization algorithm, i.e. the Non-dominated Sorting Genetic Algorithm II (NSGA II). The proposed methodology is implemented on the modified IEEE 24-bus test system and its anticipated applicability is well verified. © 2018 Elsevier Ltd
  6. Keywords:
  7. Energy storage system (ESS) ; Expansion studies ; Multi-objective (MO) ; Scenario analysis ; Wind farms curtailment ; Energy storage ; Genetic algorithms ; Uncertainty analysis ; Wind power ; Energy storage systems ; Energy Storage Systems (ESSs) ; Multi objective ; Non dominated sorting genetic algorithm ii (NSGA II) ; Optimization algorithms ; Wind farm ; Wind power curtailments ; Costs
  8. Source: International Journal of Electrical Power and Energy Systems ; Volume 104 , 2019 , Pages 414-422 ; 01420615 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S014206151731092X