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Hybrid stochastic/robust flexible and reliable scheduling of secure networked microgrids with electric springs and electric vehicles

Norouzi, M ; Sharif University of Technology | 2021

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  1. Type of Document: Article
  2. DOI: 10.1016/j.apenergy.2021.117395
  3. Publisher: Elsevier Ltd , 2021
  4. Abstract:
  5. Electric spring (ES) as a novel concept in power electronics has been developed for the purpose of dealing with demand-side management. In this paper, to conquer the challenges imposed by intermittent nature of renewable energy sources (RESs) and other uncertainties for constructing a secure modern microgrid (MG), the hybrid distributed operation of ESs and electric vehicles (EVs) parking lot is suggested. The proposed approach is implemented in the context of a hybrid stochastic/robust optimization (HSRO) problem, where the stochastic programming based on unscented transformation (UT) method models the uncertainties associated with load, energy price, RESs, and availability of MG equipment. Also, the bounded uncertainty-based robust optimization (BURO) is employed to model the uncertain parameters of EVs parking lot to achieve the robust potentials of EVs in improving MG indices. In the subsequent stage, the proposed non-linear problem model is converted to linear approximated counterpart to obtain an optimal solution with low calculation time and error. Finally, the proposed power management strategy is analyzed on 32-bus test MG to investigate the hybrid cooperation of ESs and EVs parking lot capabilities in different cases. The numerical results corroborate the efficiency and feasibility of the proposed solution in modifying MG indices. © 2021
  6. Keywords:
  7. Demand side management ; Electric power measurement ; Electric utilities ; Electric vehicles ; Electromagnetic wave emission ; Power management ; Renewable energy resources ; Stochastic models ; Stochastic programming ; Uncertainty analysis ; Electric spring ; Electric vehicle parking lot ; Hybrid stochastic/robust optimization ; Micro grid ; Parking lots ; Power management strategies ; Renewable energy source ; Stochastics ; Technical and economic model ; Vehicle parking ; Stochastic systems ; alternative energy ; electric vehicle ; equipment ; error analysis ; numerical model ; optimization ; smart grid ; stochasticity
  8. Source: Applied Energy ; Volume 300 , 2021 ; 03062619 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S0306261921007960