Abstract: Due to an ever-increasing market penetration of plug-in hybrid electric vehicles (PHEVs), the charging demand is expected to become a main determinant of the load in future distribution systems. In this paper, we investigate the problem of controlling in-home charging of PHEVs to accomplish peak load shifting while maximizing the revenue of the distribution service provider (DSP) and ...

Notice Concerning Copyright Material EV-TEC members are given permission to copy without fee all or part of this publication for internal use if appropriate attribution is given to this document as the source material. Acknowledgements This is the final report for the Electric Vehicle Transportation and Electricity Convergence (EV-TEC) research project T-40 titled " The Impact of PHEV/BEV Charg...

When a homogenous electric field is applied to polyynes (C10 and C20) perpendicular to their long axis, they bend to form an arch. The height of the arch is proportional to the intensity of the electric field. The direction of the bend and its magnitude depend on the electronic nature (donor/acceptor) of the substituents at the termini of the polyyne. The driving force for the formation of the ...

In this paper, three approaches to increasing power system security are presented which are particularly relevant with respect to emerging fundamental changes in the operation paradigms of electric grids. Special attention is given to the challenge of maintaining system stability and security of supply in the presence of distributed and fluctuating renewable power generation and the integration...

Distributed generation (DG) is an emerging technology used to provide electric power at or near a load site. Interest in DG is growing due to transmission congestion and difficulty in siting, financing, and adverse environmental impacts of traditional resources. DG includes such technologies as microturbines, gas turbines, fuel cells, and renewable energy sources like mini/micro hydro, wind, an...

Review and classification of electric load forecasting (LF) techniques based on artificial neuralnetworks (ANN) is presented. A basic ANNs architectures used in LF reviewed. A wide range of ANNoriented applications for forecasting are given in the literature. These are classified into five groups:(1) ANNs in short-term LF, (2) ANNs in mid-term LF, (3) ANNs in long-term LF, (4) Hybrid ANNs inLF,...

Distribution system operators (DSOs) are faced with new challenges from the continuous integration of fluctuating renewable energy resources and new dynamic customer loads such as electric vehicles, into the power grid. To ensure continuous balancing of supply and demand, we propose procurement package auctions to allocate load flexibility from aggregators and customers. The contributions of th...