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Laboratory of automatics
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Direction:

Departamento de Ingeniería de Sistemas y Automática Escuela Técnica Superior de Ingeniería Camino de los Descubrimientos, s/n 41092 Sevilla
Fecha: 02/05/2013

Contact:

Carlos Bordons Alba
954 487 348
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 Sevilla
Year 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
Description
This is a laboratory microgrid designed for the purpose of studying control strategies. It inclu- des renewable generation and storage using bat- teries and also using hydrogen in the form of hydrides, with a DC link. Both renewable gene- ration and consumption can be emulated elec- tronically. It has a PEM-type fuel cell, an electrolyser and a hydride deposit in order to store power in hydrogen form and use it as and when required. It is also connected to the electric grid.
 
It has a highly flexible control system thanks to which several control algorithms can be im- plemented.
 
Services offered
 
The microgrid has been commissioned using funds from a national project. Nevertheless, we are open to any kind of collaboration with companies or bodies that are interested in per- forming tests or carrying out any joint research projects.
 

[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

Human resources
 
Permanent personnel

Academic qualification

Number of professionals

Average experience  years

Knowledge areas

 

Engineer

 

1

 

15

TICEPOT
Doctorate students Knowledge area:
RES, AUTO Average number per year: 1
 
 
Others (Final project, master, etc) Knowledge area:
TIC, SEN, VE Average number per year: 4
 
 
N.º publications: 5 JCR journals and 10 international conferences between 2011 to 2014

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

 

http://aer.ual.es/Proyecto_Power

 

168.000€

 

TIC/REN

 


[5] Regional, National, European, …
 
National Plan Project: “Predictive control techniques for efficient management of renewable energy microgrids”. DPI2010-21589-C05-01. Execution period: 10 January 2011 to 31 December 2013. The Project is coordinated by the Department of Systemas and Automatic Control of the University of Seville, with the participation of the Universities of Almería and Valladolid, CIEMAT and the De- partmentEnergy Engineering of the University of Seville.
 
 

Future plans

The aim is to continue working on new control strategies, especially Distributed Predictive Control. As regards resources, two hybrid plug-in vehicles will be added as new consumption elements. There are also plans to change the type of electric batteries used at present and add  supercapacitors.