The role of distributed energy systems in electric vehicle wireless charging

Sraidi, Salma; Maâroufi, Mohamed

doi:10.1016/b978-0-12-824555-2.00018-6

Cited by 1 publication

(2 citation statements)

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“…Figure 5 presents the demand of a single vehicle following the NEDC driving cycle [11]. As shown in this figure and from a microscopic standing point, EV load can create disturbance due to its inherently random load profile.…”

Section: Load Profilementioning

confidence: 99%

“…ere have been numerous researches about the impact of EV charging on the grid in order to set an optimal recharging method, either by dimensioning an electrical charging station based on renewable energy [8] or by an integrated storage system as supercapacitor or batteries to reduce the peak demand [9]. e literature [10,11] presented the conception of fast charging station based on renewable energies and storage systems would decrease the impact on the electrical network.…”

Section: Introductionmentioning

confidence: 99%

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Energy Management in the Microgrid and Its Optimal Planning for Supplying Wireless Charging Electric Vehicle

Sraidi

Maâroufi

2022

Journal of Electrical and Computer Engineering

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The ongoing research work on electric vehicles (EVs) as well as the growing concern around the world to ensure a pollution-free environment is sure to lead to a significant increase in the number of EVs in the near future. The electrification of automobiles is an inevitable trend of future development. However, the growth of EVs relies on several elements: autonomy, the charging practice and infrastructure, the price, and the high amount of energy needed for supplying EV. This tendency impacts several points in transportation such as the road infrastructure and electrical power network. The aim of this article is the integration of new energy power sources as a part of the microgrid (MG) to supply EV with dynamic wireless charging. The main goal is to establish an energy management strategy reducing the running cost. The purpose is suggested for two kinds of operation mode: relying only on the MG (island mode) or relying on the MG and the large grid (grid-connected). The optimization problem is solved on the basis of the particle swarm optimization (PSO) algorithm. We could note that the stability of the microgrid in the off-grid mode is better, when the load is close to the output power of the distributed power supply. Through the coordination and cooperation of the battery output and the other two distributed power generation units, the microgrid can achieve its autonomy and maximize the economy of the system operation. Thanks to our methodology, a better revenue and an enhanced flexible dispatching of the system were met in the grid-connected mode as well.

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Section: Load Profilementioning

confidence: 99%