
Direction:
Departamento de Ingeniería de Sistemas y Automática Escuela Técnica Superior de Ingeniería Camino de los Descubrimientos, s/n 41092 SevillaFecha: 02/05/2013
Contact:
Carlos Bordons Alba954 487 348
bordons@us.es
Departamento de Ingeniería de Sistemas y Automática Escuela Técnica Superior de Ingeniería Camino de los Descubrimientos, s/n 41092 Sevilla
Presentation
Ubication: Laboratorio de Automática Escuela Técnica Superior de Ingeniería Camino de los descubrimientos s/n 41092 SevillaYear of creation: 2008
managed power: 6 kW[1]
Description:This is a laboratory microgrid designed for the purpose of studying control strategies.
supports visits: Si
Function Microred: Si [2]
Island funtion: Si
TYPE OF SERVICES:
- Laboratory
[1] It is understood that managed power that is able to manage the control of the infrastructure. In laboratories without physical equipment (simulators, systems) This field does not apply.
[2] Microrred function if there are loads in the same location, generators and optionally storage, with integrated management of the whole.
EQUIPMENT
Consumer equipment
Type of load |
Voltage level |
Power |
Connection type |
Programmable load |
72V |
Upto2kW |
Electronic converter |
Electric vehicle |
72V |
30kW |
Converter fo rion-LiBMS batteries |
PEM electrolizer |
16V |
1kW |
DC/DC Converter |
Storage Equipment
Storage technology |
Voltage level |
Power |
Connection type |
Metal hydrides + PEM fuel cell |
30-58V |
1,5kW |
DC/DC converter |
Batteries (currently Pb,
but is expected to have Li-ion)
|
72V |
2,5kW |
Direct to DC link |
Power control equipment
Power electronics |
|
|
Type |
Voltage level |
Power |
DC/DC boost type converters |
72V |
2-4kW |
Network signal generators |
||
Type |
Voltage level |
Power |
Electronic |
72V |
2kW |
Generation control equipment
Generation technology |
Voltage level |
Power |
Connection type |
Programmable electronic generator which emules any renewable source |
72V |
Upto2kW |
DC/DC electronic converter |
Simulation control equipment
Computer equ |
ipment |
|
Equipment |
Calculation power or characteristics |
|
A control system is available based on a Schneider PLC, in charge of low-level control. A PC is available for the top level, where management algorithms are executed. This PC is connected to the PLC through the network and using an OPC protocol. There is also a supervising PC with a Scada Labview.
|
The PCs (supervisor and top level control) are mid-range desktop computers (updated regularly). The PLC is a Modicon 340. |
|
Control algorithms |
||
Type |
Description |
|
Heuristic |
Control based on rules according to battery level. This is a very simple control that aims to supply consumption demand at all times using storage and the renewable energy generation available. If the deviation between power generated and power consumed is low, the batteries will supply the difference up to a certain level of their charging state. If these levels are surpassed,
use is made of hydrogen production (and storage) and of the power generated by the fuel cell.
|
|
Model-BasedPredictiveControl(MPC) |
This is an optimal control strategy used to operate the plant taking into account generation and consumption costs (with possible buying and selling from the external grid) and the equipment’s operation constraints (limited power
or response speed, useful life, etc.). The MPC controller makes a real-time calculation of the power set for the electrolyser, the fuel cell and the external grid in order to ensure that the power generated (including storage) is adjusted to consumption at all times.
Work is also being carried out on distributed MPC strategies, such that the grid can be divided into areas and each area can be controlled by an agent within a cooperative strategy.
|
ELECTRIC SCHEME / IMAGES

OTHERS
The microgrid is currently operational. A heuristic-type control and a centralized Model Pre- dictive Controller have already been tested. A full dynamic model is available at Matlab/Simu- link for researchers wishing to make use of it.
KNOWLEDGE
Academic qualification |
Number of professionals |
Average experience years |
Knowledge areas |
Engineer |
1 |
15 |
TICEPOT |
Knowledge areas: Demand Management (GD), integration of renewable and distributed energy resources (RES), protection and network automation (AUTO), electric vehicle (EV), power electronics (EPOT), storage ( BAT), sensors (SEN), life management (lIFE), smart meters (CI), transformers (TRAFO), conductors (CABLE), information and communication technologies (ICT)
PROJECTS
Acronym-Name |
Ambit |
Initial/end year |
web |
Total budget |
Knowledge area |
POWER |
National |
2011/13 |
|
168.000€ |
TIC/REN |
[5] Regional, National, European, …