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Abstract-Built upon real-world SCADA and other measurements of a featured utility-scale testbed, this paper addresses the participation of customer side battery energy storage in providing peak load shaving at a 12.47 kV distribution feeder. A stochastic optimization-based battery operation framework is developed that enables feeder load peak shaving under offline (day-ahead) as well as online (close-to-real-time) control settings. Both designs work through establishing a secured communications line to the utility's feeder-level SCADA system. Multiple field experiments are conducted, including a full day test with complete control of a 1 MWh / 200 kW battery system, as well as various numerical assessments based upon one year of real feeder data.

While plug-in electric vehicles (PEVs) are expected to provide economic and environmental benefits to the transportation sector, they may also help the electric grid, both as a potential source of energy storage and as a means to improve power quality and reliability. In this paper, our focus is on the latter, where PEVs offer reactive power compensation using P-Q control at their charger inverters. In this regard, we develop a new optimization-based P-Q control strategy for PEV charging stations to be implemented in line distribution networks that are in great need of reactive power compensation, either because of serving large industrial loads or due to the inductive impact of distribution level wind turbines. Our design is based on a nonlinear power flow analysis, and the design objectives are to perform voltage regulation and demand response. Through various computer simulations, we assess our proposed PEV-based reactive power compensation and compare it with the case where no P-Q control is conducted at PEV charging stations.

We analyze a detailed set of driving traces for 536 GPS-equipped taxi vehicles and combine them with the features of four different plug-in hybrid electric vehicle (PHEV) brands that currently dominate the North American market in order to develop a test data set for PHEV-related research in the field of smart grid. Our developed data set is made available to public in [1]. It consists of various information, including but not limited to per-PHEV traces of state-of-charges (SoCs), per-PHEV traces of charging loads at different carefully identified charging stations, per-PHEV information on SoC and charging deadline when the PHEV is parked at a charging station, and some information about the potential of PHEVs for vehicle-to-grid applications.