Title :
Optimal control of PEVs for energy cost minimization and frequency regulation in the smart grid accounting for battery state-of-health degradation
Author :
Tiansong Cui ; Yanzhi Wang ; Shuang Chen ; Qi Zhu ; Nazarian, Shahin ; Pedram, Massoud
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
Plug-in electric vehicles (PEVs) are considered the key to reducing the fossil fuel consumption and an important part of the smart grid. The plug-in electric vehicle-to-grid (V2G) technology in the smart grid infrastructure enables energy flow from PEV batteries to the power grid so that the grid stability is enhanced and the peak power demand is shaped. PEV owners will also benefit from V2G technology as they will be able to reduce energy cost through proper PEV charging and discharging scheduling. Moreover, power regulation service (RS) reserves have been playing an increasingly important role in modern power markets. It has been shown that by providing RS reserves, the power grid achieves a better match between energy supply and demand in presence of volatile and intermittent renewable energy generation. This paper addresses the problem of PEV charging under dynamic energy pricing, properly taking into account the degradation of battery state-of-health (SoH) during V2G operations as well as RS provisioning. An overall optimization throughout the whole parking period is proposed for the PEV and an adaptive control framework is presented to dynamically update the optimal charging/discharging decision at each time slot to mitigate the effect of RS tracking error. Experimental results show that the proposed optimal PEV charging algorithm minimizes the combination of electricity cost and battery aging cost in the RS provisioning power market.
Keywords :
battery powered vehicles; cost reduction; optimal control; power control; power markets; smart power grids; PEV discharging scheduling; RS tracking error; SoH; battery aging cost; battery state-of-health degradation; electricity cost; energy cost minimization; energy supply and demand; frequency regulation; optimal control; peak power demand; plug-in electric vehicles; power markets; power regulation service; smart grid infrastructure; Aging; Batteries; Degradation; Power demand; Power markets; Pricing; System-on-chip;
Conference_Titel :
Design Automation Conference (DAC), 2015 52nd ACM/EDAC/IEEE
Conference_Location :
San Francisco, CA
DOI :
10.1145/2744769.2744882