Dynamic Charging Optimization for Mobile Charging Stations in Internet of Things
作者： Huwei Chen , Zhou Su , Yilong Hui , Hui Hui
DOI: 10.1109/ACCESS.2018.2868937
关键词:
摘要: The increasing use of Internet Things (IoTs) has brought more advantages in supplying power to electric vehicles (EVs). With the help IoTs, EVs can be charged easily by mobile charging stations (MCSs) compared with fixed (FCSs). However, previous works management supply FCSs have not been properly applied MCSs, e.g., dynamic EV users’ arrival and variable from MCSs IoTs. In this paper, we study how manage MCSs’ IoTs under condition that multiple kinds power. First, considering randomness arrival, develop framework economic model. Then, aiming maximize long-term average profits a stochastic optimization problem is formulated decide optimal strategy management. Based on Lyapunov theory, Lyapunov-based online distributed algorithm proposed obtain solutions. Meanwhile, performance our analyzed simulation results validate effectiveness proposal.
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