The impact of wind turbines and photovoltaic systems on network operation and power quality (harmonics, and voltage fluctuations) is very important. The capability of the power system to absorb this perturbation is dependent on the fault level at the point of common coupling. The paper deals with power quality case studies conducted on existing renewable resources-based systems. Voltage fluctuations determined by a 0.65 MVA wind turbine are analyzed. The impact of photovoltaic systems on steady state voltage variations and current harmonics is investigated. The correlation between the generated power and the main power quality indices is highlighted.

The increasing trend of people moving to urban areas and the associated urbanization process require facing challenges regarding city infrastructures capability to cover citizens needs for energy, water, transportation, healthcare. education, safety. The smart urban technologies represent an important contribution to the sustainable development of cities, making smart cities a reality. The concept of Home Automation must be considered in relation to the new technologies and the new smart users and the house will no longer be regarded as a single entity, but as a fundamental part of the new concept of city. The idea of smart cities is developing extremely rapidly, integrating smart grid, services, building, house and appliances, these subsystems must be able to interact, connect, and control remotely, collaboratively, to achieve a better quality of life, sustainability, energy saving, social and economic development. The widespread of Smart City depends heavily on the capability of users to understand and handle the ICT, IoT and BC. The paper designs a smart district model that is the step necessary to build a Smart City using new technologies and the role of an efficient energy management system integrated into a platform based on an IoT and BC approach for a replicable model and can be implemented.

The current economic crisis, combined with growing citizen expectations, is placing increasing pressure on European cities to provide better and more efficient infrastructures and services, often for less cost. This trend has contributed to the growing popularity and use of the term `Smart City' [1]. The Smart City, represent a new way of thinking about urban space by shaping a model that integrates Green Energy Sources and Systems (GESSs), energy efficiency, sustainable mobility, protection of the environment and economic sustainability, that represent the goals for future developments. Smart cities are made by a high level of Information and Communication Technology-ICT- structures able to transmit energy, information flows multidirectional and connect a different sector that include mobility, energy, social, economy. Into Smart Cities transport systems are sustainable, smart grids are enhanced to ensure greater integration capabilities of production plants from renewable sources, public lighting is efficient, the buildings are equipped with sensors and devices aimed at rationalizing consumption energy and create greater awareness on the part of citizens, with the aim of improving the quality of life of people through a new governance of public administration capable of managing this innovation and cultural change. However, while wishing the transformation of cities in smart systems, have not defined models infrastructure, that allow different subsets to communicate and interact, in order to make the concrete realization of a smart city. The objective of this paper is to discuss a model of Smart City with a multi-agent systems and Internet of things, that provides intelligence to a city, as basic infrastructure for a definition of a model repeatable and exportable, so as advocated by the European Community, that is allocating considerable funds (Horizon 2020) for the creation of Smart City.

The study of future scenarios where transport systems are highly based on electric propulsion constitutes a key point for the world sustainable development. In particular, the integration between electric vehicles and smart grids makes possible reaching new goals on energy savings, efficiency of energy generation and distribution. This paper proposes a controller integrated into the electric vehicle, based on fuzzy logic, providing the car user with the necessary information regarding the charging/discharging stations located nearby. In particular, for each station a priority level is reported, representing the degree of economic convenience/necessity that the user has in using this charging station. The final objective is to easily integrate a fleet of electric vehicles into smart grids with users willing to charge and discharge their electric vehicles during periods and modalities that highly favors the smart grid operation, energy savings, and economic efficiency for the car owners.