Monte Carlo based control algorithm for economic feasibility of V2G applications

Download

index.pdf

Date

2019

Author

Şahinkaya, Kıvanç

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

226
views

111
downloads

The use of electric vehicles (EVs) has been increasing in recent years due to economic and environmental factors. This rapid development makes it necessary to investigate the effects EVs on the power system planning and system participants. The aim of this study is to determine the optimal operating strategy for a microgrid operator which can function as a prosumer with the contribution of vehicle to grid (V2G) application. The connection time, plug-in time and state of charge (SoC) of EVs are stochastic variables and these variables are represented in the algorithm using a respective Gaussian distribution function. The Monte Carlo based algorithm aims to obtain a more accurate result despite these stochastic input values. The developed algorithm controls the battery energy of EVs, updating the decision at every hour, according to the estimated daily load and electricity price curves to minimize the operational cost of a smart grid. The algorithm has been applied to three different cases, which are categorized according to the connection points of EVs (i.e., residential, commercial, both residential and commercial). Uncontrolled charging, controlled charging and discharging scenarios apply to all of these cases to determine and compare the economic contribution of V2G application. These cases are also analyzed in order to evaluate the output of the control algorithm to different tariffs, different load demands and different EV characteristics.

Subject Keywords

Electric vehicles., Keywords: Electric Vehicles, Vehicle to Grid Service, Energy Management, Monte Carlo Simulations.

URI

http://etd.lib.metu.edu.tr/upload/12623977/index.pdf
https://hdl.handle.net/11511/44800

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Assessment of impacts of electric vehicles on low voltage distribution networks in Turkey Temiz, Armağan; Güven, Ali Nezih; Department of Electrical and Electronics Engineering (2015) The number of Electric Vehicles (EVs) has reached a substantial value all over the globe due to economic and environmental factors. The increasing penetration of EVs to the distribution grids urges the requirement to investigate the impacts of EVs on the planning and operation of distribution networks. Despite the fact that there are numerous studies discussing the impacts of EVs on distribution grids, a particular study concerning the Turkish distribution networks does not exist. Therefore, this study focu...
An improved energy requirement prediction for queueing applications of electric vehicles based on parameter estimation Sağlam, Berkay; Göl, Murat; Department of Electrical and Electronics Engineering (2022-8) The use of electric vehicles has increased in recent years. Although they have many benefits to the environment such as reduced carbon emissions, charging of vehicles brings some new challenges for power systems such as overloading, reliability problems, etc. Charging of electric vehicles should be managed to overcome these problems. Queueing strategies are one of the management methods. These strategies are applied to obtain a feasible operation that depends on the decisions made considering system propert...
Optimal Battery Sizing for Electric Vehicles Considering Battery Ageing Gezer, Ali; Ünver, Baki Zafer; Bostancı, Emine (2022-01-01) Due to environmental issues such as emission of carbon gases and depleting natural resources, Electric Vehicles (EVs) are attracting more attention. To make EVs viable and widespread, the batteries' high cost and performance degradation problems have to be overcome. The degradation of the battery both in terms of energy capacity and power capability is highly dependent on conditions of utilization. To understand the relationship between energy utilization and battery size, an electric vehicle model that is ...
Some optimal control problems in electric vehicles Ahıska, Kenan; Leblebicioğlu, Mehmet Kemal; Özgören, Mustafa Kemal; Department of Electrical and Electronics Engineering (2016) Conventional internal combustion engine-powered vehicles are the mainstream mean in nowadays private transportation. However, their fuel consumption results in environmental problems. Electric vehicles, on the other hand, have zero pollutant emission and benefit from high highly-efficient electric motor technology. These make the electric vehicles as the most promising alternative in private transportation. However, limitations in current battery technology aggravate the widespread usage of electric cars. T...
Assessment of Impacts of Electric Vehicles on LV Distribution Networks in Turkey TEMIZ, Armagan; Güven, Ali Nezih (2016-04-08) This study proposes a methodology to analyze the impacts of Electric Vehicles (EVs) on Low Voltage (LV) distribution networks based on probabilistic models developed for the charging process of EVs. In addition to the battery charging characteristics, Gaussian distribution function for EV plug-in times and Weibull distribution function for daily travel times are utilized in simulations. Monte Carlo based load flow simulations are performed in order to evaluate the response of the LV networks to various EV a...

Citation Formats

K. Şahinkaya, “Monte Carlo based control algorithm for economic feasibility of V2G applications,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Electrical and Electronics Engineering., Middle East Technical University, 2019.