iecon15 ami
TRANSCRIPT
41st Annual Conference of the IEEE Industrial Electronics Society
SMART METERING SYSTEM FOR MICROGRIDS
Emilio J. Palacios-García1, Yajuan Guan2, Mehdi Savaghebi2, Juan C. Vasquez2, Josep M. Guerrero2, Antonio Moreno-Munoz1,
Brian S. Ipsen3.
1 Department of Computer Architecture, Electronics and Electronic Technology, University of Cordoba, Spain
2 Department of Energy TechnologyAalborg University, Denmark
3 Kamstrup A/S, Denmark
05/02/2023 241st Annual Conference of the IEEE Industrial Electronics Society
• Introduction
• System Overview
• Test Scenarios and Results
• Recent Work
• Conclusion
Outline
05/02/2023 341st Annual Conference of the IEEE Industrial Electronics Society
Conventional Electrical Meters:
Manual data collection One-way communication Energy Measurements
IntroductionTowards Smart Grid
ConventionalElectrical Meter
Collect Data manuallyCustomer Manual Billing
Smart Meter CommunicationInterface/protocolCustomer Gateway Communication
Interface/protocol
Datebase and Management system
Conventional Electrical Meters vs Smart Meters
Smart Meters:
Remote data collection Two-ways communication:
Advanced communications protocols: DLMS/COSEM, M-Bus. SML...
Advanced Measurements: Harmonic Distortion (THD) Voltage Unbalance and Variations Voltage Events (Sags and Swells)
05/02/2023 441st Annual Conference of the IEEE Industrial Electronics Society
IntroductionHierarchical Control Strategies
Tertiary Control
Secondary Control
Primary Control
Tim
e Pe
riod
↑
Current, Voltage inner loopsDroop Control
ω / V RestorationGrid Synchronization
Power Export/Import
Demand ResponseScheduling, EMS
hours
minutes
seconds
ms μs
days
Main goalIntegration of Smart Meters in the Control Hierarchy
05/02/2023 541st Annual Conference of the IEEE Industrial Electronics Society
System OverviewAalborg University Microgrid (MG) Lab
EthernetCommunication
DC Power Line
AC Power Line
Smart MetersSM
Each Workstation: 4 DC-AC converters LCL-Filters Two Kamstrup Smart Meters DSpace
05/02/2023 641st Annual Conference of the IEEE Industrial Electronics Society
System OverviewMGLab Workstations
2invi
2cv2outi
Load Lo
ad
1Lkgridk
1invk2invk3invk4invk
dcv
1:1
2Lk
dck
C4
1invi
1cv1outi
3invi
3cv3outi
302FC
gigv
4invi
4cv4outi
dSPACE 10061Inverter2Inverter3Inverter4Inverter
0 1000 ,80 ,80dc
RegatronV kW A
1oL
1iL
2oL
2iL
3oL
3iL
4oL
4iL
4C 3C 2C 1C
K 382L
K 351B
Kamstrup 351B: Industrial Smart Meter. Measures the total generating power (DG) Kamstrup 382L: Residential Smart Meter. Measures load consumtion (Home/Building)
05/02/2023 741st Annual Conference of the IEEE Industrial Electronics Society
System OverviewCommunication with Smart Meters
METERTOOL Kamstrup Software
DLMS/COSEM over Serial Optical Port
IEC 62056-21 over Optical Port
DLMS/COSEM over TCP/IP
05/02/2023 841st Annual Conference of the IEEE Industrial Electronics Society
Test Scenarios and ResultsWorkstation Configuration for the Tests
DC-AC Converter Voltage Source Inverter (VSI)
2 Loads: Load 1: 460 Ω, 50 mH per phase Load 2: 460 Ω per phase
2 Switches: Monitored Switches Controllable from Desktop PC
2 Smart Meters: Kamstrup 351B and 382L TCP/IP over Ethernet
1 Controller: dSPACE real time controller ControlDesk Interface
05/02/2023 941st Annual Conference of the IEEE Industrial Electronics Society
Test Scenarios and ResultsMeasurement Capabilities
Load Profile Log Both 351B and 382L Models 5 min to 60 min resolution A+/A-/R+/R- Depth in days (351B):
450 days 60min 1 variable 17 days 5 min 4 variables
Depth in days (382L): 2388 days 60min 1 variable 61 days 5 min 4 variables
Voltage Quality Log Both 351B and 382L Power Failures per phase Overvoltages and undervoltages Configurable thresholds
Analysis Log Only available in 382L Model 5 min to 60 min resolution Up to 16 variables and 520 days
05/02/2023 1041st Annual Conference of the IEEE Industrial Electronics Society
Test Scenarios and ResultsScenario 1. Load Profile Measurement
Variables Active Power P+ Reactive Power Q+ Active Energy P+ Reactive Energy Q+
Resolution 5 minutes
Load Profile Monitoring Demand Response Load Scheduling EMS
Consumers Information Better demand predictions User feedback
05/02/2023 1141st Annual Conference of the IEEE Industrial Electronics Society
Test Scenarios and ResultsScenario 2. Voltage Quality Events Detection
Three-phase voltages 5 minutes resolution
±10% Voltage tolerance
Voltage Quality logger is faster than the analysis logger
2 Events detected: Under voltage at 15:12:14 Voltage restoration at 15:41:51
05/02/2023 1241st Annual Conference of the IEEE Industrial Electronics Society
Test Scenarios and ResultsScenario 3. Droop Control Monitoring
PkQkE
p
v
Droop Control Strategy
Droop Control: Primary Control Strategy P control by changing Frequency Q control by changing Voltage
Secondary Control: Voltage and Frequency Restoration
Power ActiveFrequency
Power ReactiveVoltage
P
QE
Smart Meters Variation longer than 5 min Voltage Quality Logger can be
configured (faster than analysis logger)
Check Control functionalities Detect failure in secondary control
05/02/2023 1341st Annual Conference of the IEEE Industrial Electronics Society
Recent Work
SmartMeter
Energy Management System
DatabaseManagement
System
Forecasting Module
Scheduling and
Optimization
Radio MeshEN 13757-5
Data Concentrator
Transformer
Digital Control
PlatformPC
Set. 4
Transformer
Digital Control
PlatformPC
Set. 2
Transformer
Digital Control
PlatformPC
Set. 1
Transformer
Digital Control
PlatformPC
Set. 3
OMNIA
Wireless Communications Radio Mesh
Data Concentrator TCP/IP to PC
API and Database On Demand Reading Conventional Readings Historical records
Additional Modules Forecasting Scheduling
Water and District HeatingMeters Integration
05/02/2023 1441st Annual Conference of the IEEE Industrial Electronics Society
Conclusions
• Benefits of Integrating Smart Metering Systems inside the electrical Grid: Bi-directional Communications Advanced Measurements (Not only energy, but also PQ) Tertiary Control
• Tested in three practical Scenarios: Load Profile Measurement
Demand Response (DR) and Load Scheduling techniques PQ Events Detection
Improve Supply Quality with Low Cost Droop Control Monitoring
Supervising and detecting functionalities of the Microgrid
• Recent Installation: Full AMI System Central Database System Integration of self developed modules for EMS
41st Annual Conference of the IEEE Industrial Electronics Society
SMART METERING SYSTEM FOR MICROGRIDS
Thanks for your attention!Mehdi Savaghebi
[email protected] M. Guerrero
[email protected] [email protected]
Juan C. [email protected]
Emilio J. Palacios-Garcia
[email protected] Moreno-Munoz
[email protected] S. [email protected]
Industrial Electronics & Instrumentation
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For Further Information:www.microgrid.et.aau.dk
www.meter.et.aau.dk