Open AccessA New V2G Control Strategy for Load Factor Improvement Using Smoothing Technique
Author(s) -
Peerapon Chanhom,
S. Nuilers,
Natchpong Hatti
Publication year - 2017
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2017.03006
Subject(s) - smoothing , computer science , control (management) , factor (programming language) , artificial intelligence , computer vision , programming language
This paper proposes a new vehicle-to-grid (V2G) control strategy for improving the load factor in the power network. To operate the proposed strategy, the available storage capacity of the PEVs’ batteries is considered as a battery energy storage system (BESS) for charging and discharging an amount of power corresponding to the V2G power command. Due to the remarkable advantages of the technique so-called simple moving average, it is selected for applying in the proposed V2G control strategy. In this research, for investigating the load factor improvement, the essential data including the daily-load profiles with 7-day and 14-day periods are used for the 3 studied cases. These 3 studied cases present the power network with variation of the PEVs locations for describing the PEVs usage and charging or discharging behavior. The performance of the proposed strategy is simulated and verified by the MATPOWER software. The simulation results show that the load factors of the 3 studied cases are improved. Moreover, the encouragement of energy arbitrage for the PEVs owners is also discussed in this paper