Electric vehicles connection to microgrid effects on peak demand with and without demand response

@article{Liasi2017ElectricVC,
  title={Electric vehicles connection to microgrid effects on peak demand with and without demand response},
  author={Sahand Ghaseminejad Liasi and Masoud Aliakbar Golkar},
  journal={2017 Iranian Conference on Electrical Engineering (ICEE)},
  year={2017},
  pages={1272-1277}
}
  • S. Liasi, M. Golkar
  • Published 2 May 2017
  • Engineering
  • 2017 Iranian Conference on Electrical Engineering (ICEE)
Electric vehicles (EVs) are early future transportation facilities, so it is important to study their impacts on grids. In this paper, EVs impact on peak demand is investigated by stochastic approach and its effects is studied both with and without considering the demand response. In addition, the same study has been performed for linear and nonlinear charge characteristics effects. Results show notable peak demand increment while connecting EVs without demand response consideration, in… 

Optimizing microgrid using demand response and electric vehicles connection to microgrid

TLDR
A game theory based method has been developed and simulated to show proficiency of managing ventilation system and simultaneously connecting electric vehicles to microgrid (V2G) to provide various demand response services and peak shaving with focus on optimizing generation cost and emission together.

Scheduling of EV Charging Station for Demand Response Support to Utility

TLDR
An algorithm called charging station demand response management system (CS-DRMS) is proposed that achieves the profit maximization of the charging station owner by scheduling the electric vehicles for charging based on price and solar availability, discharging based on the grid requirement.

Design of Isolated Microgrid System Considering Controllable EV Charging Demand

Microgrid construction is promoted globally to solve the problems of energy inequality in island regions and the use of fossil fuels. In the application of a microgrid system, it is important to

An Integrated DC Microgrid Solution for Electric Vehicle Fleet Management

TLDR
The structure of a modular electric vehicle supply infrastructure is proposed, based on the integration of photovoltaic rooftops, energy storage and electric vehicle stations in a dc microgrid, enabling coordination and control as well as the functions of bidirectional charging and the possibility to provide grid services at connection point.

Effect of Distributed Generation Based Campus Model Combined with Electric Vehicle Charging Stations on the Distribution Network

TLDR
The major outcome of the study is the observation of the microgrid integration response of a conventional grid along with the effect of dynamic consumption characteristics of the EV charging stations.

Residential Microgrids Energy Trading With Plug-In Electric Vehicle Battery via Stochastic Games

TLDR
The effectiveness of the Stochastic Stackelberg game (SSG) model is verified in terms of seller profit, the utilities of buyers, and the net energy usage in MG.

An Improved Control Strategy for DFIG Low Voltage Ride-Through Using Optimal Demagnetizing method

TLDR
Using optimal demagnetization method, duration of this uncontrollability of overcurrent and DC link overvoltage during transient faults has been reduced; then, by injecting reactive current during fault, fault ride through is realized.

Estimation of Number of Voltage Sags in the IEEE 14-Bus Network Using Bayesian and Artificial Neural Network: A Case Study

TLDR
Estimation of number of voltage sags has been carried out using Bayesian and artificial neural network approaches and the results have been compared to validate the accuracy and simplicity of the ANN method.

References

SHOWING 1-10 OF 18 REFERENCES

Stochastic modeling of Plug-in Electric Vehicles load demand in residential grids considering nonlinear battery charge characteristic

In order to investigate the impact of Plug-in Electric Vehicles (PEVs) in distribution network studies, realistic modeling of PEVs load demand is important. One of the most important characteristics

Investigating the Impacts of Plug-in Hybrid Electric Vehicles on Power Distribution Systems

TLDR
A comprehensive model is proposed to study the PHEV impacts on residential distribution systems and its fundamental characteristics, i.e., PHEV battery capacity, PHEV state of charge (SOC), and PHEV energy consumption in daily trips are accurately modeled.

Impacts Assessment of Plug-in Hybrid Vehicles on Electric Utilities and Regional US Power Grids: Part 1: Technical Analysis

This initial paper estimates the regional percentages of the energy requirements for the U.S. light duty vehicle stock that could be supported by the existing grid, based on 12 NERC regions. This

Evaluation of Utility System Impacts and Benefits of Optimally Dispatched Plug-In Hybrid Electric Vehicles (Revised)

Hybrid electric vehicles with the capability of being recharged from the grid may provide a significant decrease in oil consumption. These ''plug-in'' hybrids (PHEVs) will affect utility operations,

Grid Power Peak Shaving and Valley Filling Using Vehicle-to-Grid Systems

A strategy for grid power peak shaving and valley filling using vehicle-to-grid systems (V2G) is proposed. The architecture of the V2G systems and the logical relationship between their sub-systems

Advanced DMS to manage active distribution networks

The paper presents an advanced Distribution Management System capable to manage an active distribution network economically and safely. The DMS optimizes the power flows in the network, regulates the

Charging of plug-in electric vehicles: Stochastic modelling of load demand within domestic grids

This paper proposes a stochastic approach based on Monte Carlo simulation to derive the load demand of a fleet of domestic commuter plug-in electric vehicles. At first, appropriate non-Gaussian

Electric Energy and Power Consumption by Light-Duty Plug-In Electric Vehicles

This paper proposes methodologies to estimate the electric energy and power consumption by light-duty plug-in electric vehicles (PEVs). Using the travel patterns of light-duty vehicles in the U.S.