Looking to the future, there are several challenges that electricity networks will face: prosperity, global sustainable growth and security. The electricity industry situation is complex because resources worldwide are becoming scarce and the need for sustainable growth is important. Dealing with this challenge led to the foundation of micro-grids. The classical 'micro-grid' defines a mix of distributed energy resources (DER) capable of providing sufficient and continuous energy to a significant portion of the internal demand. Transmission system friendly micro-grids is a novel concept to encourage the power electronic converters to provide grid services and functionalities in line with new standards such as IEEE 1547- 2018. This paper presents a method for reducing losses by injecting reactive power from the grid-connected DER. The methodology is developed in Python and the system is modelled in DIgSILENT PowerFactory. The paper includes numerical results of the proposed methodology to show the suitability of the proposed concept.@en

The new resources available in power system require a new agent to manage these resources in the most efficient way. Resources provided by the supply side or the demand side can be managed together in order to provide some services to the grid. New resources such as massive electric vehicle and distributed generation have been being gradually integrated to the grid and for the next years the integration tendency will follow increasing. These resources require a different approach to be managed adequately. The integration of intermittent resources into the grid is a challenging area but these issues can be addressed by an aggregator agent. On the other hand, the demand of power required by electric vehicle integration can impact the load curve of different distribution system far from its capability. An aggregator agent also can be useful to manage adequately the demand required by Electric Vehicles. This paper proposes an energy aggregator model (EAM) to manage power transactions between the grid and the demand side resources.@en