PSS SINCAL - Overview -

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1 PSS SINCAL - Overview - PTI Day Buenos Aires, October 19/20, 2010 Dr. Michael Schwan,, Siemens PTI (Germany)

2 PSS SINCAL Overview Page 3

3 Network Calculation Software Requirements Increasing importance and complexity of network planning process Lower safety margins in network operation, e.g. due to high equipment loading Increasing number and complexity of relevant operating conditions, e.g. due to renewable generation Increasing detail of equipment / system modeling, e.g. usage of 15-min-interval load profiles for consumers and generators Consideration of new / additional technical aspects, e.g. voltage profile in LV networks with embedded generation Resulting requirements to network calculation software Accuracy of results Detailed and customizable system modeling capabilities Intuitive, consistent and comprehensive Graphical User Interface (GUI) Compilation, documentation and pre-processing of calculation results Page 4

4 PSS SINCAL Network Planning Software Solution Network planning software solution for Electricity supply networks Water supply networks Gas supply networks District heating networks Especially well-suited for multi-utility companies Comprehensive solution provides Software modules / packages Maintenance and Support (M&S) contracts, with expert support hotline and two updates per year Annual user meetings Specific training offers Interfaces to other IT systems Support in data migration, data management, network planning Page 5

5 PSS SINCAL Highlights PSS SINCAL highlights One platform for all utility networks (electricity, gas, water, district heating) Comprehensive, state-of-the-art system model Full support for model variants Based on commercial SQL databases Geographic and schematic network representation True to scale geographic representation Multiple representations per system model Comprehensive scope of algorithms High accuracy and speed Steady-state and dynamic analyses Technical and economical analyses Full control via GUI Page 6

6 t [s] -K2 S5 EB6 NA-B -K2 S7 EB3 RSZ3nkva K2 S2 EB2 3WN6 K2 S7 EB7 3UA42-2C K2 S1 EB1 7SJ I [A] PSS SINCAL Modules Electricity Networks Basic Modules Enhanced Modules Time Domain Frequency Domain Protection Strategy Load Flow Balanced Load Flow Unbalanced Motor Start Ripple Control Distance Protection Reliability Short Circuit 3-Phase IEC // VDE // ANSI // G74 or or Preload Multiple Fault Stability Harmonic Response Overcurrent Time Protection Short Circuit 2-Phase IEC // VDE // ANSI // G74 or or Preload Dimensioning of of LV Networks Protection Simulation Generation and Load Profile Short Circuit 1-Phase IEC // VDE // ANSI // G74 or or Preload Compensation Optimization Contingency Analysis Arc Flash Hazard Load Development Load Balancing Load Flow Optimization t [sec] EB14 EB2 EB12 EB S1 SS1 EB11 SS3 EB5 SS2 Abg1 EB14 EB2 EB11 EB12 EB5 EB Page Z [Ohm] Siemens AG All rights reserved.

7 PSS SINCAL Modules Pipe Networks Gas Water District Heating Gas Steady State Water Steady State District Heating Steady State Water Tower Filling Gas Dynamic Water Dynamic District Heating Dynamic Gas Contingency Analysis Water Contingency Analysis District Heating Contingency Analysis Page 8

8 PSS SINCAL Selected Characteristics PSS SINCAL characteristics Catalogues / libraries for network equipment for specific feeder / bus bar / substation configurations Macros Automation of typical tasks (scripting) Combining network models stored in separate data bases Variants Hierarchical, flexible tree structure Inheritance of data changes Comparison of calculation results between variants Batch procedures COM interfaces for flexible programming / automation Support of various import / export formats Page 9

9 PSS SINCAL IT Architecture PSS SINCAL IT Architecture Open architecture Network model based on commercial data bases Full documentation of network model Full control by external applications using standard APIs SINCAL DB VBA SINCAL COM.NET VBS Page 10

10 PSS SINCAL Electricity Introduction Page 11

11 Network Calculation Software Requirements Increasing importance and complexity of network planning process Lower safety margins in network operation, e.g. due to high equipment loading Increasing number and complexity of relevant operating conditions, e.g. due to renewable generation Increasing detail of equipment / system modeling, e.g. usage of 15-min-interval load profiles for consumers and generators Consideration of new / additional technical aspects, e.g. voltage profile in LV networks with embedded generation Resulting requirements to network calculation software Accuracy of results Detailed and customizable system modeling capabilities Intuitive, consistent and comprehensive Graphical User Interface (GUI) Compilation, documentation and pre-processing of calculation results Page 12

12 PSS SINCAL (Electricity) System Modeling Capabilities Page 13

13 PSS SINCAL IT Architecture (Electricity) Page 14

14 PSS SINCAL Variants, Case Handler Page 15

15 PSS SINCAL Substation Model (with decluttering) Page 16

16 PSS SINCAL (Electricity) GUI and Network Representation Page 17

17 PSS SINCAL Schematic Network View Page 18

18 PSS SINCAL Synchronized Geographic and Schematic Network View Page 19

19 PSS SINCAL Use of Digitized Maps Page 20

20 PSS SINCAL GIS Import Page 21

21 PSS SINCAL Example: Interface to Smallworld GIS Page 22

22 PSS SINCAL Integration with Google Earth Page 23

23 PSS SINCAL Integration with Google Earth Page 24

24 PSS SINCAL (Electricity) Results Presentation / Processing Page 25

25 PSS SINCAL Results in the Network Map Page 26

26 PSS SINCAL Masks with Data Base Information Page 27

27 PSS SINCAL Calculation Results in Network Database Page 28

28 PSS SINCAL Crystal Reports PSS/SINCAL with Crystal Reports Page 29

29 PSS SINCAL Diagrams for Illustration Page 30

30 PSS SINCAL Network with stoplight-colored Results Page 31

31 PSS SINCAL Diagram Comparison for Different Variants Page 32

32 PSS SINCAL Load Density Visualization On basis of the customer loads and their location in the area a load density visualization is done with iso regions With this it is possible to get a quick overview about the load and feeding situation. Page 33 green: low load density red: high load density e.g. town centre

33 PSS SINCAL Iso Area Load Density and Substation Placement Page 34

34 PSS SINCAL Electricity Advanced Features (Selection) Page 35

35 PSS SINCAL (Electricity) Feeder Evaluation Page 36

36 PSS SINCAL Feeder Evaluation and Documentation Feeder individually or per substation Feeder documentation in EXCEL sheets E.g. adjacent feeder checking Page 37

37 PSS SINCAL Feeder Evaluation PSS/SINCAL - Feeder Evaluation Page 38

38 PSS SINCAL (Electricity) Network Structure Optimization Page 39

39 PSS SINCAL Optimal Branching S335 S440 V395 S437 V390 V393 V400 S340 Page 40

40 PSS SINCAL Optimal Network Structures Determination of optimal structures for medium-voltage networks Consideration of Minimum losses Technical limits (max. feeder load, max. voltage drop, etc.) Costs of proposed greenfield network structure Route model Station model Various optimization strategies Resulting network variants provide benchmark for real network Page 41

41 PSS SINCAL (Electricity) System Protection Modeling and Analysis Page 42

42 PSS SINCAL Distance Protection Calculation of distance protection relay settings based on different grading strategies Page 43

43 PSS SINCAL Protection Simulation Step-by-step simulation of electric failures, protection pick-up, protection tripping, breaker operation green: started Teleprotection red: tripped Page 44

44 PSS PDMS Protection Devices Management System PSS PDMS Central management of protection devices and their settings with data storage in relational database Page 45

45 PSS SINCAL (Electricity) Modeling of controllers and special network equipment Page 46

46 PSS SINCAL Integration of Graphical Model Builder (GMB) Page 47

47 PSS SINCAL (Electricity) Load modeling and analysis Page 48

48 PSS SINCAL Load Modeling Load modeling Constant load Active and reactive load data Data input in several formats (e.g. P and Q, S and cos, ) Load profile Daily, weekly, monthly, yearly profiles Use of different load models (e.g. VDEW load profile models ) Load development Yearly change in load demand (%increase/decrease) Connection/disconnection of loads at certain point in time Page 49

49 PSS SINCAL Load Density in Areas with Proposal for Supply Loops Page 50

50 PSS SINCAL Load Forecaster during a Long Time Period load increase in areas with additional loads load density in different areas during a 10 years investigation Page 51

51 PSS SINCAL (Electricity) Support for Smart Grid Studies Page 52

52 PSS SINCAL Interface to Meter Data Management System (MDMS) Understand the actual networks Evaluate specific events (post mortem) Improve long term network planning Based on profile data for loads and generators Recognize different trends in the network at an early stage Develop more suitable standard profiles Utility-specific clustering of customers Support for planning of system operation Influence the network configuration based on the actual situation Optimize the loading of elements due to the conditions of the last period Shift investments to a later date Page 53

53 PSS SINCAL and MDMS Example: Voltage ranges and loading analysis during a day Page 54

54 PSS SINCAL and MDMS Example: Network configuration optimization during a day Page 55

55 PSS SINCAL Support for Smart Grid Studies System modeling Balanced / unbalanced, 1p / 3p consumers / generators Distributed generation, e.g. Photovoltaic generation Wind turbine generators Fuel cells Batteries Smart meter data System analysis Balanced / unbalanced load flow Load profiles to consider changes in solar radiation or in wind speed Stability analysis (for symmetric / unsymmetric disturbances) Protection simulation Harmonic analysis Etc. Page 56

56 PSS SINCAL Example for Smart Grid Calculation Page 57

57 PSS SINCAL Example for Smart Grid Calculation Page 58

58 PSS SINCAL Example for Smart Grid Calculation Page 59

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