Grid Secondary Frequency Control by Optimized Fuzzy Control of Electric Vehicles

Authors:
Publisher website
Google Scholar
Abstract
The major debates on environmental pollutions, abundant availability of renewable resources, scarcity of fossil fuel resources in certain parts of the world, and geopolitical conflicts have underscored the need for promoting the use of renewable and distributed power generation. Since the availability of renewable energy resources such as wind energy depends on variable atmospheric conditions, a massive integration of renewable energy would require additional reserves to compensate the power deficiency for supplying loads. However, the increasing use of electric vehicles (EVs) along with their charging demands can apply a significant amount of load to the power grid, which can cause stability concerns if not control properly. In this paper, EVs charges are applied to the secondary frequency control and an optimized fuzzy controller is considered to compensate the variable unbalances between demand and generation. To verify the performance of the proposed control method for reducing frequency deviations, several case studies are considered in this paper and simulations are carried out in MATLAB/SIMULINK environment. The simulation results illustrate a good performance of proposed method.

This publication has 14 references indexed in Scilit: