Influences of vehicle to grid (V2G) on power grid: An analysis by considering associated stochastic parameters explicitly

Integration of the electric vehicles (EVs) and vehicle-to-grid (V2G) technology with renewable energy sources (RESs) is the hottest topics among researchers. Many studies have been done in this field, but in most of them, discussion of aspects of electrified transportation have been limited. The V2G system due to its structure and supporting role for the grid influences the power demand and supply curve simultaneously depending on the patterns of driving, preferences for charging/discharging times, location, and the infrastructure of the system. Due to complexity of this system, it is necessary to cover all the influential elements in one package and analyze the impact of the system on them in a unique process. In this paper, we apply a precise and efficient methodology to analyze the impacts of the EVs and V2G on reliability, cost, and emissions with respect to the power grid. The strength of this paper is the applicability of the suggested methodology to the power grids with different patterns and features with respect to shares of RESs generated power by explicitly considering the stochastic parameters shaping the daily demand/supply curves. We introduce two novel indexes for measuring the reliability of the power grid based on availability of the RESs under power supply systems: stochastic and constant power supply. To cover all the possibilities, based on different penetration levels of EVs and V2G, charging modes, locations and schedules several cases are defined and for each case, the Monte Carlo simulation is used to evaluate the impacts of the considered cases regarding the reliability, emission, and cost of the power grid. In the numerical analysis under assumed cases, results show integration of the EVs and V2G system in stochastic power supply (high RESs) improves the power grid's efficiency in terms of decreasing the total cost and emission rate. The intermittent nature of RESs can increase fluctuation in the power grid and consequently negatively affect the reliability of the system but our analysis indicates that integration of these sources with V2G system can improve the reliability of the power grid. (c) 2020 Elsevier Ltd. All rights reserved

A comprehensive analysis of Vehicle to Grid (V2G) systems and scholarly literature on the application of such

Without any doubt, the environmental issues are the top worries between all the nations in the current century. According to the recent studies, the researchers have shown that the transportation fleet is one of the biggest sources of emission. The penetrating the renewable energy sources (RESs) and electric vehicles (EVs) are the green solutions to decrease the current environmental issues. Due to intermittent nature of RESs and high investment costs of developing EVs' infrastructure, tendency for using them is under the predicted estimations. In this paper, by analyzing a precise and comprehensive literature review, we consider all aspects of implementing the EVs especially their supporting roles for the grid in vehicle to grid system (V2G). Moreover, we study the integration of the electrified fleet with RESs in smart grid and evaluate their possible impacts on the power network. In addition, we count the advantages and disadvantages of implementing the V2G system on the power network. The main purpose of this paper is analyzing the influences of the V2G system on the power grid in four main subjects and classifying them based on their proposed methodology for the future studies. However there are some review papers related to this topic, this field of study suffers a lack of clear direction for future studies and researchers and also a comprehensive analysis about the V2G-related articles is still missing. Finally, an analysis and survey of the last two decades of scholarly literature and projects in this field of study from 2004 to March 2019 is presented. The results show that a limited number of articles have conducted to investigate the social aspects of implementation of V2G system. In addition, however, there are many researches about integration of the V2G system with RESs and smart grid; a few of them use the real data for estimating the availability of RESs in each hour of day

Profiling energy efficiency tendency:a case for Turkish households

There is no need to discuss the importance of energy and energy policies in the global agenda. Countries whose electricity demand rises steadily, and depends heavily on fossil fuels and imports, should consider energy efficiency in any aspects. As one of examples such a country, this study investigates the behaviors and attitudes of Turkish households regarding energy efficiency. An online survey of 526 Turkish households in 2014 gathered data on current habits including peak hour use, energy labeling, standby use, willingness for behavioral change, and policy options they would like to see implemented to improve energy efficiency. The results indicate the awareness level of energy efficiency among Turkish households is quite low, and should be promoted by demand side programs. Two-step cluster analysis is used to construct clusters to group households with respect to their policy preferences. Four different clusters are identified and characteristics of these clusters suggest the importance of having unique intervention strategies for successful behavioral change and for the attainment of energy efficiency

Mean-risk stochastic electricity generation expansion planning problems with demand uncertainties considering conditional-value-at-risk and maximum regret as risk measures

This paper focused on solving electricity generation expansion planning problems where there are uncertainties associated with the electricity demand forecasts. The electricity expansion plans are long-term commitments and affects people’s living conditions and business prosperity deeply. Therefore it is reasonable that the decision makers may be risk averse. In this paper, mathematical models are developed to incorporate the risk aversion into the generation expansion planning problems. We use the conditional-value-at-risk and maximum regret as risk measures and the results shows that the investment plans are affected when the risk is considered