Title :
Impact of available electric vehicle battery power capacity on power system reliability
Author :
Bei Zhang ; Kezunovic, Mladen
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
This paper focuses on estimating the available power capacity that electrical vehicles (EVs) can provide for the reserve market and evaluating its impact on power system reliability. The proposed approach estimates the available power capacity in a probabilistic manner based on traffic conditions through Markov process, which takes into account time durations when EVs are scheduled to provide the reserve services, the battery charge depletion limit and the energy needed for transportation purposes. A method to evaluate the reliability of the combined system (conventional system plus EVs) based on the probabilistic model is presented. Finally, numerical experiments are conducted to validate the effectiveness of the proposed approach and show significant impact of EVs on system´s reliability through the ancillary service market.
Keywords :
Markov processes; electric vehicles; energy storage; power markets; power system reliability; probability; Markov process; ancillary service market; battery charge depletion limit; electric vehicle battery power capacity; power system reliability; probabilistic model; reserve market; reserve services; time durations; traffic conditions; transportation purposes; Availability; Electric vehicles; Generators; Power system reliability; electric vehicles; electricity supply industry deregulation; power system reliability;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672889