Objectives

Objetive 1. Design, simulation and evaluation of the communications layer for distributed power systems operating in microgrids

Objetive 1. Design, simulation and evaluation of the communications layer for distributed power systems operating in microgrids

Milestone 1.1. Assessment of avalaible alternatives for the communications layer

Milestone 1.2. Proposal of communications architecture supported by different transmission medio and different protocols for the proper distributed operation of MGs

Milestone 1.3. Validation of the communications architecture

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Objetive 2. Modelling, control and energy management in hybrid DC/AC smart grids

Objetive 2. Modelling, control and energy management in hybrid DC/AC smart grids

Milestone 2.1. Modelling of multi-vector energy management systems and their application to existing smart grid cases

Milestone 2.2. Introducing and enabling flexibility in urban network operation

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Objetive 3. Energy recovery in rail transport networks and their integration in urban microgrids

Objetive 3. Energy recovery in rail transport networks and their integration in urban microgrids

Milestone 3.1. Improving energy efficiency for electrified DC rail systems

Milestone 3.2. Development in microgrids in the railway environment ("railway-microgrids")

Milestone 3.3. Smart energy system management

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Objetive 4. Design and implementation of an energy management system for hybrid renewable generation and battery storage systems

Objetive 4. Design and implementation of an energy management system for hybrid renewable generation and battery storage systems

Milestone 4.1. Development of a planning tool for optimal BEES sizing

Milestone 4.2. Design and simulation of the energy management system for the operation of the hybrid system

Milestone 4.3. Implementation and experimental validation of the EMS

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Objetive 5. Machine learning applied to microgrids, electric vehicles and energy management

Objetive 5. Machine learning applied to microgrids, electric vehicles and energy management

Milestone 5.1. Prediction algorithms for renewable resource in microgrids

Milestone 5.2. Optimisation algorithms for microgrid design and planning

Milestone 5.3. Machine learning algorithms for problems related to the incorporation of electric vehicles in microgrids

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