Abstract

The vehicle-to-grid (V2G) model is able to provide the power-systems that have been built to incorporate the hybrid electric vehicle model on a wide scale with distributed reserve. The authors suggested an amended V2G control model that would concurrently manage different renewable power sources, vehicle idle time and electricity generation on a vehicle consumer day basis. In respect of the desired status of battery and the detected plug-on terminal, vehicle-to-grid power is tested. This article presents an intelligent decision- making system based on an artificial neural network (ANN) that uses data logged by the M2MAMI for the planning and management of electricity charge. The ANN has been trained with household energy usage and EV energy requires the data and convention to determine when to charge the vehicle (G2V) or to discharge it (V2G). Charge Terminology, Electric Cars, Energy storage, Neural Network. Charge Scheduling. In this paper, MATLAB/Simulink implements the proposed control block. Different virtual images evaluate the performance of the control structure, interface, communications, device efficiency and time responses.

Highlights

  • Cars offered a comfortable lifestyle to society

  • The consumptive fuel and waste of the greenhouse, as well as other gases causing pollution such as carbon monoxide, nitrogen oxides and etc., are the main risks as the oxides of nitrogen and the hydrocarbons are reacting together trendy the eventof sunlight leading to the rise in the ground-level ozone

  • This paper refers to several changes in a Simulink model. a model has been extensively examined and a following control structures have undergone changes: Load: a residential load power factor used in an original model was 0.15; it was updated and raised to 0.95 resulting in higher energy efficiency and lower losses

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Summary

1.Introduction

Cars offered a comfortable lifestyle to society. Personal cars are preferred for freedom, protection and comfort over other modes, whereas travelling along greater distances is suitable for rail, aviation, etc. The previously proposed grid system operated on transfers of power from the generator into the car, while this idea of intelligent grids differs because it enables 2-way communication and power transmission This function makes additional controls, grid functions and efficiency [1011]. I) the main source of power generation diesel, ii) the wind farm combined with the photovoltaic farm, iii) V2G system, bidirectional block and household load iv) to satisfy overhead energy source requirements. This micro grid supports thousands of households during the windy day in the summer. The load includes residential loads on the micronet It follows a specific power level consumer profile.

3.Methodology
Artificial Neural Network
Conclusion
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