Load management of electric vehicles charging in new generation power markets based on fuzzy logic and the concept of virtual budget
Ημερομηνία
2019Γλώσσα
en
Λέξη-κλειδί
Επιτομή
The aim of the current study is the development and the evaluation of a fully automated controller based on fuzzy logic for the control of the charging time of Electric Vehicles (EVs) based on user's preferences and the amount of congestion on the grid. This is paramount for the stability and the safety of the electricity infrastructure due to the excessive load that is introduced with the advent of EVs and the rapidly growing demand for electricity in the modern society. All the simulations and the experiments have been contacted using the GridLAB-D simulation platform. ©2018 IEEE
Collections
Related items
Showing items related by title, author, creator and subject.
-
Electricity markets meet the home through demand response
Gkatzikis, L.; Salonidis, T.; Hegde, N.; Massoulie, L. (2012)Demand response (DR) programs motivate home users through dynamic pricing to shift electricity consumption from peak demand periods. In this paper, we introduce a day ahead electricity market where the operator sets the ... -
Impact of emissions cost on the mid-term generation scheduling in the Greek Electricity Market
Andrianesis, P.; Liberopoulos, G.; Biskas, P. (2010)The EU Emissions Trading Scheme, Europe's main mechanism for implementing EU climate policy, is driving thermal electricity generation units to incorporate their emissions cost into their variable costs. In this paper, we ... -
Energy Analysis of a NZEB Office Building with Rooftop PV Installation: Exploitation of the Employees’ Electric Vehicles Battery Storage
Stamatellos G., Zogou O., Stamatelos A. (2022)Near zero energy buildings are increasing worldwide, exploiting low-carbon technologies in heating and electricity self-production. Commercial buildings are increasingly considered as candidates for the installation of ...