Title :
Small-Signal Modeling and Networked Control of a PHEV Charging Facility
Author :
Herrera, Luis ; Inoa, Ernesto ; Feng Guo ; Jin Wang ; Hanning Tang
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
Abstract :
The introduction of communication systems to power system controllers has brought in another layer of complexity in their design and operation. In this paper, a plug-in hybrid electric vehicle charging facility is studied. A linearized model of the facility is built, including both the dc/dc and dc/ac converters of the distributed energy resources. In addition, a control strategy that includes both local and networked loops is proposed to monitor and control the dc bus voltage of a local energy storage unit. This dc bus voltage is crucial to the self-sustaining capabilities of the system. A review of challenges and opportunities in networked control systems is presented, and the impacts of communication factors to the charging facility stability are analyzed. Finally, a real-time simulation platform which combines both electrical and communication networks is presented to validate the small-signal model, control strategy, and stability analysis including the communication effects.
Keywords :
DC-AC power convertors; DC-DC power convertors; hybrid electric vehicles; networked control systems; power distribution control; power system stability; voltage control; DC bus voltage control; DC-AC converter; DC-DC converter; PHEV charging facility stability analysis; communication effect; communication network; distributed energy resource; linearized model; local energy storage unit; local loops; networked control systems; networked loop; plug-in hybrid electric vehicle; power system controller; real-time simulation; self-sustaining capability; small-signal modeling; Analytical models; Integrated circuit modeling; Inverters; Load modeling; Mathematical model; Stability analysis; Voltage control; AC–DC power converters; dc–dc power converters; networked control systems (NCSs); power system stability; smart grid;
Journal_Title :
Industry Applications, IEEE Transactions on
DOI :
10.1109/TIA.2013.2272912