Real-time load scheduling and storage management for solar powered network connected EVs

Ahmad, Ashfaq and Khan, Jamil Yusuf (2020) Real-time load scheduling and storage management for solar powered network connected EVs. IEEE Transactions on Sustainable Energy, 11 (3). pp. 1220-1235. ISSN 1949-3037

Full text not available from this repository.


In this paper, we investigate a joint real-time load scheduling and energy storage management at a grid-connected solar powered electric vehicle. Without any a priori knowledge, we consider a finite time approach with arbitrary dynamics of system inputs. Our aim is to minimize an average aggregated system cost through joint optimization of electric vehicle's energy procurement price, load scheduling delays, photovoltaic sufficiency in terms of locally generated renewable energy mix, and battery degradation. Through subsequent modification and reformulation of the joint optimization problem, we utilize the concept of one-slot look-ahead queue stability to solve the problem by employing the Lyapunov optimization technique. We show that the joint optimization problem is separable into sub-problems, which are sequentially solved with asymptotic optimality and a bounded performance guarantee. Simulations are carried in different scenarios and under varying weather conditions. Results show that our proposed algorithm can achieve a daily electric vehicle's photovoltaic sufficiency up to 50.50%, a monthly bill reduction up to 72.61%, and a yearly reduced CO_2 emission level up to 6.06 kg, while meeting electric vehicle user's energy and delay requirements.

Item Type: Article
Uncontrolled Keywords: charging station,energy storage,load scheduling,optimization,photovoltaic generation,photovoltaic sufficiency,real-time,renewable energy, sustainability and the environment,sdg 7 - affordable and clean energy ,/dk/atira/pure/subjectarea/asjc/2100/2105
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 26 Jul 2022 14:30
Last Modified: 21 Apr 2023 01:18
DOI: 10.1109/TSTE.2019.2921024

Actions (login required)

View Item View Item