Desenvolupament dels models matemàtics necessaris per a controlar de forma òptima la microxarxa existent als laboratoris del Institut de Recerca en Energia de Catalunya. Els algoritmes s'implementaran per tal de simular el comportament i posteriorment es programaran directament sobre els elements de la microxarxa per verificar el seu correcte funcionament.. Desenvolupament dels models matemàtics necessaris per a controlar de forma òptima la microxarxa existent als laboratoris del Institut de Recerca en Energia de Catalunya. Els algoritmes s'implementaran per tal de simular el comportament i posteriorment es programaran directament sobre els elements de la microxarxa per verificar el seu correcte funcionament
Current mankind is facing a global dilemma with energy demand increasing, while di-
minishing traditional energy resources. Increase energy e ciency and sustainability are
becoming more necessary. In this framework, smart grids and microgrids are the key in
the near future where a decentralization of energy generation is expected. An advantage
of these type of grids is that balancing between energy generation, storage, and consump-
tion can be realized most e ciently the closer the physical location of generation, storage
and demand is the controller. This reduces the need for centralized communication, en-
ables autonomous operations of increasingly smaller sections of the distribution grid and
decreases the losses by distant distribution.
Within this framework and from the point of view of microgrid energy management,
economic scheduling for generation devices, storage systems and loads is a crucial problem.
Performance an optimization process is necessary to minimize the operating costs while
several operational constraints are taken into account. Energy management is carried out
by MCC (Microgrid Central Controller) in three steps: tertiary, secondary and primary
controls. The rst management step is executed one day-ahead and has two objectives.
The rst is economic optimization using a program based on an Economic Dispatch and
an Unit Commitment problem. The second objective is to improve the pro tability of
the supply and demand balance by interacting with the grid and taking advantage of the
V2G (vehicletogrid) capability of the charging spot, and to generate a schedule over
all components of the microgrid. The rest of the controls are executed on day of operation
in order to adjust the output power levels. The secondary control receives the scheduling
plan created by tertiary control and taking into account current data, corrects the power
outputs of generation units.Exchanged power with the grid and storage states of charge
programmed by the tertiary control are ensured.Finally, the primary control regulates the
energy
ow in real time and ensures a proper operation to address any unexpected issues
although, this control is not considered in the project.
