BACKGROUND. ABB MicroSCADA

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MicroSCADA is a supervisory control and data acquisition (SCADA) software developed by ABB. It is used for real-time monitoring and control of power networks. MicroSCADA can be used to supervise and control various electrical applications, such as substations, power grids, and distribution networks. This thesis explores the use of predictive maintenance for MicroSCADA applications.

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BACKGROUND. ABB MicroSCADA | Manualzz

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2 BACKGROUND

2.1 ABB Substation Automation Systems

ABB is a global leader in power and automation technologies headquartered in

Zurich, Switzerland. The Company employs 145 000 people in approximately 100 countries. ABB in its current form was born in 1988 when Swedish ASEA and

Swiss BBC Brown Boveri united. Finnish company Oy Strömberg Ab was bought by ASEA in 1987. /1/

Substation Automation Systems is part of the ABB Power Systems division’s

Network Management business unit. It designs and engineers advanced substation automation, protection and control solutions.

2.2 MicroSCADA

MicroSCADA is supervision software developed by ABB. The development started in 1981 by Strömberg Oy in Vaasa, Finland. It was originally developed for substation automation but today it is also widely used for supervising and controlling electrical power networks. /16/

SCADA is an abbreviation for Supervisory Control and Data Acquisition. It is a common type of industrial control system that is used for real-time monitoring and control of system, processes or even specific machinery. MicroSCADA is mainly used for substation automation and network control, but it can also be used to control and monitor non-electrical applications, such as railroads, water and sewage utilities, district heating, or even oil and gas distribution.

MicroSCADA systems usually consist of:

Workstations with a human-machine interface (HMI) which presents the data and measurements in a graphical user interface to a human operator who monitors and controls the process

A system server where MicroSCADA is running

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Communication devices like switches, routers and modems and communication servers

Protection relays (IED) capable of performing various mathematical calculations and communicating with other devices

Remote terminal units (RTU) that convert the sensor signals to digital data and send that data to the computer systems

All kinds of peripheral equipment, such as printers and GPS device /3/

/14/

An example of a process window in MicroSCADA can be seen in Figure 1.

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Figure 1. Process Window of MicroSCADA

Breakers and disconnectors and their states are shown in the picture. They are named with a letter Q in the beginning. T1 is a power transformer which steps down voltage from 110 kV to 20 kV. Flashing red circles presents active alarms.

Busbars are colored green when there is a voltage and white when they are disconnected. Busbar coloring can also be voltage dependent, when different voltage levels are colored differently. Coloring options can be changed and indicators can be self-designed. Event displays and alarm lists can be found from the top right corner of the picture.

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Key Features

  • Real-time monitoring and control
  • Wide range of applications
  • Predictive maintenance capabilities
  • Integration with other systems
  • Scalability and flexibility

Frequently Answers and Questions

What is MicroSCADA?
MicroSCADA is a software application developed by ABB for supervisory control and data acquisition (SCADA) of power networks. It provides real-time monitoring and control of electrical systems.
What are the benefits of predictive maintenance for MicroSCADA applications?
Predictive maintenance can help to identify potential problems before they occur, which can reduce downtime and improve the reliability of the system. It also helps to optimize maintenance costs and increase the lifespan of equipment.
How can predictive maintenance be implemented in MicroSCADA applications?
Predictive maintenance can be implemented by monitoring key parameters of the system, such as communication activity, system resource usage, and alarm frequency. This information can be used to identify potential problems and schedule maintenance proactively.

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