Abstract
The Smart Grid vision along with the future deployment of Electric Vehicles presents numerous challenges in terms of grid infrastructure, communication, and control. In this context, Advanced Metering Infrastructure solutions are envisioned to be the active management link between utilities and consumers. This paper presents a survey of potential AMI functionalities particularly developed to foster the large scale deployment of EV in Smart Grids. For this accomplishment, the concepts of Automated Meter Reading, Automatic Meter Management and Smart Metering are revisited. Furthermore, different EV charging approaches are outlined and included in the functionalities under the Vehicle-To-Grid framework. Finally, AMI use cases are described under the Vehicle-to-Home perspective.

Abstract
The present work investigates the dynamic behaviour of a mixed system consisting of a wind farm and a diesel group supplying a load, under different disturbances. In this regard, dynamic models and control systems that enable the generation part to support the grid are needed. The objective of this work has been also the implementation of the diesel group model and its afferent control system into Matlab-Simulink and to demonstrate their use by evaluating the response in time of the electric parameters.

Abstract
Bidirectional and efficient on-board charger systems for electric vehicles is a challenge nowadays. This paper describes a novel power converter system that implements bidirectional flow between the grid and an electric vehicle battery, where a dual active bridge is advantageous. With a bidirectional topology and proper control all the major grid constraints, such as power quality, harmonic rejection, active and reactive power control, and others, can be easily satisfied. A hardware prototype of the power converter is built. Experimental results from this hardware prototype verify the preliminary operation and claims of the V2G power interface.

Abstract
Large deployment of Plug-in Hybrid Electric Vehicles (PHEVs) will put new challenges regarding the power systems operation. The MicroGrid (MG) concept can be exploited to support the progressive integration of PHEVs into the Low Voltage (LV) networks by developing smart charging strategies to manage the PHEVs batteries charging procedures in order to avoid reinforcements in the grid infrastructures. Assuming that a number of PHEVs owners allow managing the batteries charging when their cars are parked, this paper proposes an approach that aims to find suitable individual active power set-points corresponding to the hourly charging rate of each PHEV battery connected to the LV grid. The Evolutionary Particle Swarm Optimization (EPSO) tool is used to find these active power set points. This requires an additional software module to be housed in the MV/LV secondary substation level, called Optimal Power Set-points Calculator (OPSC). © 2011 IEEE.

Abstract
This paper presents a general overview about the system operation, management and control following a large scale integration of renewable energy sources, focusing in particular the wind generation, both onshore and offshore. Regarding the operation of distribution networks, the integration of renewable energy sources and other distributed generation systems requires the adoption of active control and management structures. These structures will contribute to extend intelligence from the transmission to the distribution networks, aiming to change the operation paradigm from passive towards the smart grids vision for European networks of energy. The MicroGrid concept plays a key role in this context and has been exploited in order to support the progressive integration of electric vehicles, trying to avoid grid reinforcements. © 2011 IEEE.

Abstract
Large deployment of MicroGrids will have a considerable impact on the future operation of the electrical networks and will greatly influence the power system dynamics mainly at the Medium Voltage (MV) level whenever the upstream system has been lost. In dynamic studies the whole power system cannot be represented in a detailed manner because the huge system dimension would require a very large computational effort Therefore dynamic equivalents for MicroGrids need to be derived. The proposed approach is based on system identification theory for developing dynamic equivalents for MicroGrids, which are able to retain the relevant dynamics with respect to the existing MV network.