Estimating Effect of Electric Vehicles on Indian Grid System and Identifying Consequent Opportunities

2019 ◽  
pp. 343-359
Author(s):  
Nisargkumar Suthar
Keyword(s):  
Electric Vehicles ◽  
Grid System

scholarly journals V2G—An Economic Gamechanger in E-Mobility?

2018 ◽  
Vol 9 (3) ◽  
pp. 35 ◽  
Author(s):  
Jens Høj ◽  
Lasse Juhl ◽  
Søren Lindegaard
Keyword(s):  
Renewable Energy ◽  
Electric Vehicles ◽  
Business Models ◽  
Peak Load ◽  
Business Case ◽  
Economic Benefits ◽  
Frequency Regulation ◽  
Grid System ◽  
Market Factors ◽  
Energy Grid

The Vehicle-2-grid (V2G) technology enabling bidirectional charging between electric vehicles and the energy grid system for frequency regulation and load balancing has the potential of significantly improving the financial viability of electric mobility. This paper has identified that the introduction of V2G offers a plethora of potentially beneficial business models, which primarily focus on providing stability services to the energy grid and optimizing the economic benefits of owning an EV. Within these overarching categories, it is likely that several niche business models will emerge, as the current V2G concepts include the integration of intermittent renewable energy into the grid, reduction of peak load, charging optimization, and regulation of participating capacity. Most important is the balancing of the five market factors in order to create a profitable business case, as this is what makes V2G move from a potential revenue generator to a profitable business.

scholarly journals Joint Demand Response and Energy Trading for Electric Vehicles in Off-Grid System

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 130576-130587
Author(s):  
Jangkyum Kim ◽  
Joohyung Lee ◽  
Jun Kyun Choi
Keyword(s):  
Electric Vehicles ◽  
Demand Response ◽  
Grid System ◽  
Energy Trading

scholarly journals Formal Asymptotic Analysis of Online Scheduling Algorithms for Plug-In Electric Vehicles’ Charging

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 19
Author(s):  
Asad Ahmed ◽  
Osman Hasan ◽  
Falah Awwad ◽  
Nabil Bastaki ◽  
Syed Rafay Hasan
Keyword(s):  
Computational Complexity ◽  
Asymptotic Analysis ◽  
Electric Vehicles ◽  
Large Scale ◽  
Complexity Analysis ◽  
Scheduling Algorithms ◽  
Online Scheduling ◽  
Grid System ◽  
Higher Order Logic ◽  
Efficient Operation

A large-scale integration of plug-in electric vehicles (PEVs) into the power grid system has necessitated the design of online scheduling algorithms to accommodate the after-effects of this new type of load, i.e., PEVs, on the overall efficiency of the power system. In online settings, the low computational complexity of the corresponding scheduling algorithms is of paramount importance for the reliable, secure, and efficient operation of the grid system. Generally, the computational complexity of an algorithm is computed using asymptotic analysis. Traditionally, the analysis is performed using the paper-pencil proof method, which is error-prone and thus not suitable for analyzing the mission-critical online scheduling algorithms for PEV charging. To overcome these issues, this paper presents a formal asymptotic analysis approach for online scheduling algorithms for PEV charging using higher-order-logic theorem proving, which is a sound computer-based verification approach. For illustration purposes, we present the complexity analysis of two state-of-the-art online algorithms: the Online cooRdinated CHARging Decision (ORCHARD) algorithm and online Expected Load Flattening (ELF) algorithm.

scholarly journals Intelligent Control of Converter for Electric Vehicles Charging Station

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2334 ◽  
Author(s):  
Mayank Jha ◽  
Frede Blaabjerg ◽  
Mohammed Ali Khan ◽  
Varaha Satya Bharath Kurukuru ◽  
Ahteshamul Haque
Keyword(s):  
Electric Vehicles ◽  
Storage Device ◽  
Grid System ◽  
Storage Devices ◽  
Electrical Grid ◽  
Charging Station ◽  
Fast Switching ◽  
Multiport Converter ◽  
Distributed Generators ◽  
Charging Stations

Electric vehicles (EVs) are envisaged to be the future transportation medium, and demonstrate energy efficiency levels much higher than conventional gasoline or diesel-based vehicles. However, the sustainability of EVs is only justified if the electricity used to charge these EVs is availed from a sustainable source of energy and not from any fossil fuel or carbon generating source. In this paper, the challenges of the EV charging stations are discussed while highlighting the growing use of distributed generators in the modern electrical grid system. The benefits of the adoption of photovoltaic (PV) sources along with battery storage devices are studied. A multiport converter is proposed for integrating the PV, charging docks, and energy storage device (ESD) with the grid system. In order to control the bidirectional flow between the generating sources and the loads, an intelligent energy management system is proposed by adapting particle swarm optimization for efficient switching between the sources. The proposed system is simulated using MATLAB/Simulink environment, and the results depicted fast switching between the sources and less switching time without obstructing the fast charging to the EVs.

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