Using Smart meters Data for Energy Management Operations

1. Using Smart Meters Data for Energy
Management Operations and Power
Quality Monitoring in a Microgrid
Emilio J. Palacios García1, Enrique Rodriguez-Diaz2, Amjad Anvari-
Moghaddam2, Mehdi Savaghebi2, Juan C. Vasquez2, Josep M. Guerrero2,
Antonio Moreno-Munoz1
1Department of Computer Architecture, Electronics and Electronic Technology
University of Córdoba, Spain
2Department of Energy Technology
Aalborg University, Denmark
ISIE 2017 – Edinburgh

2. Using SM Data for
Energy Management
Operations and PQ
Monitoring in a
Microgrid
Palacios-García,
Emilio J.
p92pagae@uco.es
Dept. of Computer
Architecture,
Electronics and
Electronic
Technology.
University of
Córdoba
Outline
Introduction
System Architecture
Hardware Arch.
Logical Arch.
Experimental Results
Setup Installation
Monitoring App
EMS Profiles
PQ Monitoring
Conclusion
Palacios-García et al. – 26th IEEE International Symposium on Industrial Electronics (ISIE 2017) 2
• Introduction
• System Architecture
• Hardware Architecture
• Logical Architecture
• Experimental Results
• Setup Installation
• Smart Metering Monitoring App
• EMS Profiles
• PQ Monitoring
• Conclusion

3. Using SM Data for
Energy Management
Operations and PQ
Monitoring in a
Microgrid
Palacios-García,
Emilio J.
p92pagae@uco.es
Dept. of Computer
Architecture,
Electronics and
Electronic
Technology.
University of
Córdoba
Introduction (I)
3
Introduction
System Architecture
Hardware Arch.
Logical Arch.
Experimental Results
Setup Installation
Monitoring App
EMS Profiles
PQ Monitoring
Conclusion
Palacios-García et al. – 26th IEEE International Symposium on Industrial Electronics (ISIE 2017)
European Commission. JRC. Smart Electricity Systems and Interoperability, 2017
Smart meters roll-out
Implementation in the UE
Different penetration rates
In 2014:
• 100%: Sweden, Finland
• 60%: Denmark
• 30%: Spain, Estonia
• <10%: Germany, The
Netherlands

4. Using SM Data for
Energy Management
Operations and PQ
Monitoring in a
Microgrid
Palacios-García,
Emilio J.
p92pagae@uco.es
Dept. of Computer
Architecture,
Electronics and
Electronic
Technology.
University of
Córdoba
Introduction (II)
4
Introduction
System Architecture
Hardware Arch.
Logical Arch.
Experimental Results
Setup Installation
Monitoring App
EMS Profiles
PQ Monitoring
Conclusion
Palacios-García et al. – 26th IEEE International Symposium on Industrial Electronics (ISIE 2017)
Conventional Electricity Meters
• Manual data Collection
• One-way Communication
Smart Meters:
• Two-way Communication
• Advanced Measurements

5. Using SM Data for
Energy Management
Operations and PQ
Monitoring in a
Microgrid
Palacios-García,
Emilio J.
p92pagae@uco.es
Dept. of Computer
Architecture,
Electronics and
Electronic
Technology.
University of
Córdoba
Hardware Architecture
5
Introduction
System Architecture
Hardware Arch.
Logical Arch.
Experimental Results
Setup Installation
Monitoring App
EMS Profiles
PQ Monitoring
Conclusion
Palacios-García et al. – 26th IEEE International Symposium on Industrial Electronics (ISIE 2017)
Case of Application:
AC/DC microgrid
Apartments supplied in AC
RES, Storage, common facilities
in DC
RT Control using collected data
SMs can be used in different
places for the EMS
• A: Exchanges with the Grid
• B: Individual Consumption
• C: AC/DC interchange
• D: AC bus consumption

6. Using SM Data for
Energy Management
Operations and PQ
Monitoring in a
Microgrid
Palacios-García,
Emilio J.
p92pagae@uco.es
Dept. of Computer
Architecture,
Electronics and
Electronic
Technology.
University of
Córdoba
Logical Architecture
6
Introduction
System Architecture
Hardware Arch.
Logical Arch.
Experimental Results
Setup Installation
Monitoring App
EMS Profiles
PQ Monitoring
Conclusion
Palacios-García et al. – 26th IEEE International Symposium on Industrial Electronics (ISIE 2017)
Radio Mesh Communication
with Data Concentrator
DLMS/COSEM specification
Utilidriver®: Back-end
process:
• Periodic records
• On-demand readings
• Configuration
• Alarms
Meter Data Management System
Data Storage
LabVIEW software for
management unit (blue)
JAVA EE server: RESTful service
external data access
DB Storage
Energy Management
System
Optimize resources
utilization with GAMS
Access SMs’ data and
other services
Send Power references
to Converters

7. Using SM Data for
Energy Management
Operations and PQ
Monitoring in a
Microgrid
Palacios-García,
Emilio J.
p92pagae@uco.es
Dept. of Computer
Architecture,
Electronics and
Electronic
Technology.
University of
Córdoba
Setup Installation
7
Introduction
System Architecture
Hardware Arch.
Logical Arch.
Experimental Results
Setup Installation
Monitoring App
EMS Profiles
PQ Monitoring
Conclusion
Palacios-García et al. – 26th IEEE International Symposium on Industrial Electronics (ISIE 2017)
4 Converters:
• AC Grid throught an isolation
transformer
• Common DC bus
• Controlled by an RT platform
SMs:
• Placed in the AC side
• Connected to the data concentrator
and the MDMS in central PC
EMS:
• Running in a Laptop
• Local Wi-Fi Network
• Obtains SMs’ measurements from
MDMS
PC:
• Request EMS optimization
periodically
• Sends power references to RT
platform

8. Using SM Data for
Energy Management
Operations and PQ
Monitoring in a
Microgrid
Palacios-García,
Emilio J.
p92pagae@uco.es
Dept. of Computer
Architecture,
Electronics and
Electronic
Technology.
University of
Córdoba
Smart Meters Monitoring App
8
Introduction
System Architecture
Hardware Arch.
Logical Arch.
Experimental Results
Setup Installation
Monitoring App
EMS Profiles
PQ Monitoring
Conclusion
Palacios-García et al. – 26th IEEE International Symposium on Industrial Electronics (ISIE 2017)
Smart meter monitoring
• Communication configuration
• On-demand readings
• Thresholds configuration
• Logger reading
• Alarm capture
Application
• Developed in LabVIEW
• Database attached
• Use of API to communicate
with the data concentrator

9. Using SM Data for
Energy Management
Operations and PQ
Monitoring in a
Microgrid
Palacios-García,
Emilio J.
p92pagae@uco.es
Dept. of Computer
Architecture,
Electronics and
Electronic
Technology.
University of
Córdoba
EMS Profiles
9
Introduction
System Architecture
Hardware Arch.
Logical Arch.
Experimental Results
Setup Installation
Monitoring App
EMS Profiles
PQ Monitoring
Conclusion
Palacios-García et al. – 26th IEEE International Symposium on Industrial Electronics (ISIE 2017)

10. Using SM Data for
Energy Management
Operations and PQ
Monitoring in a
Microgrid
Palacios-García,
Emilio J.
p92pagae@uco.es
Dept. of Computer
Architecture,
Electronics and
Electronic
Technology.
University of
Córdoba
PQ Monitoring (I)
10
Introduction
System Architecture
Hardware Arch.
Logical Arch.
Experimental Results
Setup Installation
Monitoring App
EMS Profiles
PQ Monitoring
Conclusion
Palacios-García et al. – 26th IEEE International Symposium on Industrial Electronics (ISIE 2017)
Analysis logger
• 5 to 60 min resolution
• Up 16 configurable
measurements
• Stored in a database
Continuous PQ indicator
• Voltage & Current THD
• Power factor
• Frequency

11. Using SM Data for
Energy Management
Operations and PQ
Monitoring in a
Microgrid
Palacios-García,
Emilio J.
p92pagae@uco.es
Dept. of Computer
Architecture,
Electronics and
Electronic
Technology.
University of
Córdoba
PQ Monitoring (II)
11
Introduction
System Architecture
Hardware Arch.
Logical Arch.
Experimental Results
Setup Installation
Monitoring App
EMS Profiles
PQ Monitoring
Conclusion
Palacios-García et al. – 26th IEEE International Symposium on Industrial Electronics (ISIE 2017)
Voltage quality logger
• Configurable thresholds
• Timestamp
• Start point
• Max/Min point
• End point
Events Types:
• Long-term: t > 10 s
• Short-term: 1 s < t < 10 s
• Voltage Outage: SM
disconnected

12. Using SM Data for
Energy Management
Operations and PQ
Monitoring in a
Microgrid
Palacios-García,
Emilio J.
p92pagae@uco.es
Dept. of Computer
Architecture,
Electronics and
Electronic
Technology.
University of
Córdoba
Conclusion and Future Works
12
Conclusion
• Presented a case study at a Lab scale
• Benefits of SMs for enhancing energy control
capabilities and PQ monitoring
• Results show the possibility of integrating SMs’
measurements into the EM level
• Basic PQ indicator can be recorded as well as slow
events without further investment
Future Work
• Combining SM data with DR using a two-way
communication
• Developing a PQ surpervision and area assessment
application using aggregate individual data
Introduction
System Architecture
Hardware Arch.
Logical Arch.
Experimental Results
Setup Installation
Monitoring App
EMS Profiles
PQ Monitoring
Conclusion
Palacios-García et al. – 26th IEEE International Symposium on Industrial Electronics (ISIE 2017)

13. Thanks for your Attention!
Using Smart Meters Data for Energy
Management Operations and Power
Quality Monitoring in a Microgrid
Emilio J. Palacios-Garcia
p92pagae@uco.es
Enrique Rodriguez-Diaz
erd@et.aau.dk
Amjad Anvari-Moghaddam
aam@et.aau.dk
Mehdi Savaghebi
mes@et.aau.dk
Juan C. Vasquez
juq@et.aau.dk
Josep M. Guerrero
joz@et.aau.dk
Antonio Moreno-Munoz
amoreno@uco.es