Solar Panel and Wireless Power Transmission System as a Smart Grid for Electric Vehicles

A new photovoltaic cell modeling based on an electronically tunable edge filter is presented in this paper. The new model is subjected to temperature, illumination, and resistance variations. In addition, an MPPT (Maximum Power Point Tracker) command was exposed with a calculation algorithm based on a microcontroller card that used the behavior of an electronically tunable edge filter. The results confirm those published in the literature, showing the influence of the position of the leakage variation in our model, which can give more power. The simulation results show that the proposed command is efficient to determine the MPP point.

Section: The Mppt Algorithmmentioning

confidence: 99%

Enhancement of Solar Cell Modeling with MPPT Command Practice with an Electronic Edge Filter

Saad

2021

“…Demand Response (DR) is a technique describing the way the demand side responds to the supply-side price techniques or incentive measures [1][2][3]. DR leads to modifications in end-use customer consumption patterns as a result of the changes in electricity pricing over time or incentive payments designed at encouraging lesser energy use during periods when the market prices are higher or when system reliability is affected.…”

Section: Introductionmentioning

confidence: 99%

A Distributed Control Approach for Demand Response in Smart Grids

Gharbi

2022

The smart grid is a new concept that has been developed during recent years to improve the intelligence and efficiency of electric power system management. Traditional electricity systems are combined and integrated with information technology, communication technology, and intelligent control technology in the smart grid. Demand Response (DR) refers to the changes in consumers' electricity consumption behavior in response to dynamic pricing or financial incentives. Based on the control manner, DR methods are classified as centralized or distributed. In distributed techniques, customers communicate with the other consumers and provide data to the power utility about the overall use. In this paper, we focus on the distributed approach of DR using the shifting method for a short-term horizon. To be more specific, three well-known solutions were studied: the Resource Allocation with Legitimate Claims, the Constrained Fair-Splitting Dispatch, and Real-Time Pricing. Finally, we compare the different techniques of DR distributed approaches based on the control mechanism.

“…Much research on EVs is performed to make their use more convenient and safer [1][2][3]. One of the issues of interest to researchers is wireless charging technology for EVs [4,5]. Wireless charging eliminates all charging cables, making charging safer and more flexible.…”

Section: Introductionmentioning

confidence: 99%

Transmitting Side Power Control for Dynamic Wireless Charging System of Electric Vehicles

Diệp

Trung

2022

This paper proposes a new power control method in dynamic wireless charging systems for electric vehicles. A dual-loop controller is proposed to control charging power while the electric vehicle is moving without communication between the transmitting and receiving sides. The output power is estimated through the coupling coefficient estimation. However, the coupling coefficient varies with the position of the vehicle. Therefore, this paper also presents an easy-to-do practical estimation method from the transmitting side, in which the coupling coefficient value is continuously updated according to the vehicle's position. As a result, the output power is controlled according to the required level with an error of less than 5%.