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SP5 as a virtualized multi-computer system for Stadtwerke Schweinfurt GmbH - Germany
SP5 as a virtualized multi-computer system for Stadtwerke Schweinfurt GmbH - Germany
Power Utilities
Stadtwerke Schweinfurt GmbH
Schweinfurt Germany
In addition to the supply of electricity, natural gas, district heating and drinking water, the business areas of Stadtwerke Schweinfurt GmbH also include the operation of Schweinfurt's city buses and the SILVANA sports and leisure pool. Today, the company is also focusing on the forward-looking topic of renewable energies. Spectrum Power™ 5 makes a decisive contribution to safe and effective grid operation and is an innovative system basis for coping with future requirements and tasks.
Solution overview:
Spectrum Power™ 5 version 5.60
Upgrade project, start of operation: August 2022
Fully virtualized, redundant multi-computer system distributed across three locations
Test system and study context
Multi-commodity operation for electricity, gas, water and district heating
Service contract for system service and IT security and patch management
Telecontrol protocol IEC 60870-5-104
Network monitoring with SNMP and Checkmk to IEC 104
Medium-voltage network with approx. 500 local substations
Drinking water network with waterworks, six elevated tanks and five pumping stations in three pressure zones
Gas network with 25 gas pressure regulating stations (GDRA) and 15 gas pressure regulating stations (GDRMA) for industrial customers with approx. 28,000 remotely reported data points
SCADA functions:
Electrical grid topology
Switching sequence management
Wireless alarming via VoIP
Higher value functions:
Schedule management
Load forecasting (electricity, gas and district heating)
Generation forecast
Load management electricity (LME)
Load management gas (LMG)
Load flow calculation and state estimation
Short circuit and earth fault search
GIS integration
Advanced Redispatch 2.0 with PSS@SINCAL
Operator support/guidance in critical network situations through network analysis functions.
Reliable grid monitoring and control through the use of studies.
Efficient network operation through better planning based on forecasts.
Reduction in downtime/re-supply times through the use of troubleshooting functions.
Improved energy management by avoiding peak loads.
Comprehensive coverage of regulatory market requirements.