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Información del artículo

Evaluation of aggregate models of plug-in electric vehicles for primary frequency control

S. Izadkhast, P. García-González, P. Frías, P. Bauer, L. Ramírez-Elizondo

International Journal of Automotive Technology and Management Vol. 18, nº. 3, pp. 270 - 294

Resumen:

This paper summarizes and evaluates in detail aggregate models of plug-in electric vehicles (PEVs) for primary frequency control (PFC) through dynamic simulations. A basic aggregate model of PEVs for PFC is introduced and then gradually developed in the following steps: i) technical characteristics of PEVs are incorporated into the model, ii) technical characteristics of distribution networks are formulated and added, and iii) a strategy is described to well-design the frequency-droop controller of PEVs for PFC. Moreover, from an economic point of view, a method is presented to assess the benefits which could result from PEVs for PFC. Four simulation scenarios are defined to evaluate the impact of: 1) different PEV’s penetration levels, 2) PEV’s operating modes and constraints, 3) power consumed in the network during the PFC, and 4) well-designed frequency droop controller, on the frequency response following a contingency event. Simulation results show that aggregate PEVs have a great potential not only to improve the frequency response, while preserving the overall stability, but also to save some costs associated with PFC.


Palabras Clave: Aggregation, Distribution Networks, Economic Assessment, Plug-in ElectricVehicles, Primary Frequency Control, Strategy, Technical Constraints,Well-Design Droop.


Referencia DOI: DOI icon 10.1504/IJATM.2018.093418

Publicado en papel: Junio 2018.

Publicado on-line: Junio 2018.



Cita:
S. Izadkhast, P. García-González, P. Frías, P. Bauer, L. Ramírez-Elizondo. Evaluation of aggregate models of plug-in electric vehicles for primary frequency control. International Journal of Automotive Technology and Management. Vol. 18, nº. 3, pp. 270 - 294 Junio 2018. [Online: Junio 2018]


    Líneas de investigación:
  • Redes inteligentes
  • *Green energy integration

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