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When it comes to combating climate change and global warming, the best course of action is to promote the use of renewable energy sources (RESs) and reduce reliance on fossil fuels. In this regard, most nations have resolved to boost the use of solar photovoltaics (PV) and wind turbines (WTs) to generate clean green energy and curb carbon emissions. India is actively contributing to the international change of the energy sector. When it comes to renewable energy and encouraging the use of electric vehicles, India is among the top five countries in the world. There has been a recent push to increase the world's renewable energy generation capacity to 450 GW by 2030, up from its current level of around 400 GW. Getting India's total generation beyond 60%using the low-carbon energy sources is encouraged because it will help the country meet its larger climate goals and push it above the amount agreed upon in the Paris Agreement. Economic growth, increased energy security, and expanding access to energy for the rural population are only a few of the goals, roles, and responsibilities of government. As part of India's progress toward modernization, this paper details a number of related efforts, policy shifts, technical and economic hurdles, and regulatory rules for rolling out renewables and EVs. [ABSTRACT FROM AUTHOR]

Due to the issues of climate change and global warming, the transportation industry is gradually shifting from the usage of hydrocarbon fuels to electricity. The electric vehicles (EVs) are uses battery to store the energy with is subsequently used to convert into mechanical energy while driving the vehicle. Similarly, Micro-grids are used in distribution system that adds renewable energy sources along with the loads. The batteries placed in the EVs could be used significantly applied as energy storage units within the MG system. A good control system have to research and developed in order to satisfy the goal of fast charging of the EV batteries to avoid large queues at the charging stations. In this paper, the implementation of a MG model based vehicle to grid (V2G)-grid to vehicle (G2V) system using the level-3 fast charging of EV's is presented. A level-3 fast charging model consist of a fast DC charging technology for operating the electric vehicle. Various simulation conditions were realized and results have been observed to carry out to operate the power flow of V2G-G2V. Test results shows that regulation of the active power is achieved in the MGs by using the batteries of the EVs as dispatchable sources via the G2V-V2G operational modes. The charging infrastructure that is built should be attaining minimum harmonic distortions for injecting current into the of grid as well as while charging the EV and the controller should always give the very good dynamic results in the point of the DC-bus link voltage stability. [ABSTRACT FROM AUTHOR]

Due to the issues of climate change and global warming, the transportation industry is gradually shifting from the usage of hydrocarbon fuels to electricity. The Electric Vehicles are uses battery to store the energy with is subsequently used to convert into mechanical energy while driving the vehicle. Similarly, Microgrids are used in distribution system that adds renewable energy sources along with the loads. The batteries of the Electric vehicle (EVs) can be possibly used as energy storage and buffering devices inside the microgrids (MGs) or parking space of buildings. These EVs can help in managing the microgrid energy balance under two circumstances, viz. surplus generation it can store the excess energy as the Grid-To-Vehicle, G2V mode by charging of the batteries and during energy deficient in the MG it can provide energy back to the grid by working as Vehicle-To-Grid, V2G operation as discharging of the batteries. To facilitate these concepts proper development of inter-connecting infrastructure and control system arrangements have to be done. This paper provides a literature survey on various architecture for realizing the V2G-G2V strategies within a MG by studying different types of power electronics interfacing (PEI) like level-1, level-2, and level-3 acting as fast charging stations for the EVs are presented. Maintaining the power balance state and improving the reliability of the intermittent renewable energy sources (RESs) MGs using proper PEI is a critical task. [ABSTRACT FROM AUTHOR]

Most of the vehicles uses fossil fuel or gasoline for transportation. Usage of fossil fuel contaminates the air due to emission of nitrous oxides and particulates. It also causes the depletion of ozone layer. These fossil fuels are non-renewal and hence will be deplete from the earth in near future dueto increased demand. Moreover, due to scarcity, its cost is also increasing rapidly. In order to deal with this, an electric vehicle can be good alternative for transportation. With usage of electricvehicle, demand for fossil fuel can be greatly reduced. All the electric vehicle (EVs) are refer to BEV (battery electric vehicles) and they are equipped with the battery to store power. With increasing usage of renewable energy sources, clean power can be generated which can be supplied for charging of the electric vehicle. In this paper, review of electric vehicle is carried. Itinvolves various features of EV like its tractive effort, efficiencyof motor and battery necessities. [ABSTRACT FROM AUTHOR]

The reasons for pollution and the limitations of fossil fuels have driven the use of electric vehicles. Electric vehicles are synonymous with electric batteries that require periodic charging. There has been an increase in research on battery charging for electric vehicles. There is also the use of renewable energy resources such as photovoltaics for battery charging stations. This paper focuses on prototyping battery charging stations from solar photovoltaic energy using ANN-based MPPT controllers within the framework of optimizing solar energy harvesting and comparing them with conventional MPPT methods. Test results showed that the prototype of the proposed charging system took 33.3 minutes to charge a 7Ah battery. Compared to conventional MPPT methods, the charging time of MPTT methods with Neural Network is 6.01% faster. [ABSTRACT FROM AUTHOR]