Low Voltage Monitoring Using Smart Meters
Kumar, Haresh (2016)
Kumar, Haresh
2016
Master's Degree Programme in Electrical Engineering
Tieto- ja sähkötekniikan tiedekunta - Faculty of Computing and Electrical Engineering
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Hyväksymispäivämäärä
2016-09-07
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201608254453
https://urn.fi/URN:NBN:fi:tty-201608254453
Tiivistelmä
Todays’ automatic meter reading (AMR) meters are not only used for providing accurate billing information (hourly consumption data) to utility, but they are also used for electricity distribution network planning and management. The AMR meters using advanced metering infrastructure (AMI) identifies the voltage problems (voltage imbalance, outage, and power quality) and generates alarm signals for the operation centre based on threshold voltages.
The aim of this thesis to write the use cases, map them into smart grid architecture model (SGAM) and analyze the benefits of use cases. The use cases of outage management and power quality are explained in this thesis. The use case is useful to understand the activities involved in low voltage monitoring process. The use case defines the steps or interaction of actors (smart meters, distribution system operator), and information systems (at control centre) with respect to requirements in different scenarios. The use cases reveal the process between actors and systems for sending alarms from smart meters to operation centre and how this information is applied for managing those problems. To provide the graphical structure or visual representation of the use cases, they are mapped into SGAM) which is three dimensional model comprised of zone, domain and interoperability layers.
The communication systems (device and media), supporting protocols, the breakdown of data at the operation centre, actors, integration of different information systems (supervisory control and data acquisition (SCADA), distribution management system(DMS), etc) and type of information are described and depicted for the use cases of outage management and power quality in form of SGAM.
Furthermore, this thesis analysis the use cases (outage management and power quality monitoring) by technically and economically. The economic analysis of smart metering shows the detailed structure and figures of capital expenditure (CAPEX) and operational expenditure (OPEX) for smart metering implementation and list of benefits that can be yielded from this investment, while in technical analysis different smart meter models are discussed that are manufactured by different vendors. Both analysis are carried out as the business point of view for DSO, stakeholders and third parties to taking their integral part or contribution in smart metering rollout business.
The aim of this thesis to write the use cases, map them into smart grid architecture model (SGAM) and analyze the benefits of use cases. The use cases of outage management and power quality are explained in this thesis. The use case is useful to understand the activities involved in low voltage monitoring process. The use case defines the steps or interaction of actors (smart meters, distribution system operator), and information systems (at control centre) with respect to requirements in different scenarios. The use cases reveal the process between actors and systems for sending alarms from smart meters to operation centre and how this information is applied for managing those problems. To provide the graphical structure or visual representation of the use cases, they are mapped into SGAM) which is three dimensional model comprised of zone, domain and interoperability layers.
The communication systems (device and media), supporting protocols, the breakdown of data at the operation centre, actors, integration of different information systems (supervisory control and data acquisition (SCADA), distribution management system(DMS), etc) and type of information are described and depicted for the use cases of outage management and power quality in form of SGAM.
Furthermore, this thesis analysis the use cases (outage management and power quality monitoring) by technically and economically. The economic analysis of smart metering shows the detailed structure and figures of capital expenditure (CAPEX) and operational expenditure (OPEX) for smart metering implementation and list of benefits that can be yielded from this investment, while in technical analysis different smart meter models are discussed that are manufactured by different vendors. Both analysis are carried out as the business point of view for DSO, stakeholders and third parties to taking their integral part or contribution in smart metering rollout business.