Year: 2012
Type: dissertation
Abstract: The objectives of this research were to investigate the impact of electric vehicle \nbattery charging on grid demand at a national level and on the steady state parameters \nof distribution networks. An agent-based control system that coordinates the battery \ncharging of electric vehicles according to electric vehicle owner preferences, \ndistribution network technical limits and electricity prices was designed and \ndeveloped and its operation was tested experimentally. \nThe impact on grid demand peak increases at the national systems of Great Britain \nand Spain was evaluated using low and high electric vehicle uptake levels of 7% and \n48.5% of the car fleet for the year 2030 with a deterministic method. It was found that \na low uptake will not raise significantly the grid demand peaks in both countries under \ninvestigation. However, a high uptake will raise significantly the grid demand peaks. \nThe impact from residential electric vehicle battery charging on steady state voltages, \npower line losses, transformers’ and cables’ loadings of distribution networks was \nevaluated using a deterministic and a probabilistic method. It was found that low and \nmedium uptake levels of electric vehicles equivalent to 12.5% and 33% per residential \narea of 384 customers in 2030, can be safely accommodated by reinforcing the \ndistribution network. A combination of reinforcements, installation of microgenerators \nand control of electric vehicle battery charging will be required to \naccommodate safely a high uptake of 71% with regards to the constraints studied. \nAn agent-based control system that coordinates the battery charging of electric \nvehicles was designed and developed. Search techniques and neural networks were \nused for the decision making processes. The ability of the agent-based control system \nto operate successfully in both normal and abnormal conditions for the electrical \nnetwork was proved with experimental validation in the laboratory of Tecnalia \nresearch institute in Spain.
Author: Panagiotis Papadopoulos
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2155100880