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Lia Toledo Moreira Mota, Alexandre de Assis Mota, Wu, Shin-Ting

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Presentation on theme: "Lia Toledo Moreira Mota, Alexandre de Assis Mota, Wu, Shin-Ting"— Presentation transcript:

1 Using Geospatial Data to Generate One-line Diagrams of Electrical Power Systems
Lia Toledo Moreira Mota, Alexandre de Assis Mota, Wu, Shin-Ting School of Electrical and Computer Engineering State University of Campinas

2 Topics Power transmission and distribution systems One-line diagrams
State-of-the-art Objective Proposal Results Concluding remarks November 23 Geoinfo 2005

3 Topics Power transmission and distribution systems One-line diagrams
State-of-the-art Objective Proposal Results Concluding remarks November 23 Geoinfo 2005

4 Power transmission systems
Networks connecting generators and load centers November 23 Geoinfo 2005

5 Power transmission systems
(110 or 220 V) November 23 Geoinfo 2005

6 Power transmission systems
Complex geographically dispersed network November 23 Geoinfo 2005

7 Topics Power transmission and distribution systems One-line diagrams
State-of-the-art Objective Proposal Results Concluding remarks November 23 Geoinfo 2005

8 One-phase network = One-line diagram
One-line diagrams Power Network Three-phase network One-phase network = One-line diagram November 23 Geoinfo 2005

9 One-line diagrams: two models
[Monticelli, 1999]: Bus section/switching device model: switching devices-oriented representation for supporting decision-makings in fault conditions or maintenance situations Bus/branch model: a simplified representation of the bus section/switching device model November 23 Geoinfo 2005

10 One-line diagrams: two models
widely used for studies and analyses November 23 Geoinfo 2005

11 One-line diagrams: graph
Bus/Branch model = Graph Nodes: buses Arcs: branches November 23 Geoinfo 2005

12 Power transmission systems
Complex geographically dispersed network November 23 Geoinfo 2005

13 Connectivity information -> readable one-line diagram?
November 23 Geoinfo 2005

14 Topics Power transmission and distribution systems One-line diagrams
State-of-the-art Objective Proposal Results Concluding remarks November 23 Geoinfo 2005

15 State-of-the-art CAD systems
Problem: the layout is up to users One-line dedicated drawing algorithms (Ong et al., 2000; add-on package ArcGIS, 2005?) Problem: unsuitable for cyclic graphs Mota’s algorithm (Mota and Morelato, 2004) Problem: the initial node placement configuration is up to users. November 23 Geoinfo 2005

16 Topics Power transmission and distribution systems One-line diagrams
State-of-the-art Objective Proposal Results Concluding remarks November 23 Geoinfo 2005

17 Objective General context: to provide an algorithm for generating readable one-line diagrams from connectivity information Specifically: to improve the algorithm proposed by Mota et al. November 23 Geoinfo 2005

18 Mota’s algorithm [Mota et al., 2004]
Given: the comfortable length KL, and the connectivity between the buses and branches N1 – N2; N2 – N3; N3 – N1 Mota’s algorithm can derive from these connectivity data the geometrical coordinates, from which one may draw a one-line diagram. Output: coordinates {xc, yc} of each bus November 23 Geoinfo 2005

19 Positively charged particles
Mota’s algorithm Principle: to use physically-based approach for placing the buses in an iterative way. Buses Braches Positively charged particles Springs November 23 Geoinfo 2005

20 Mota’s algorithm: Example
30 Buses 40 Branches Power systems test case archive: November 23 Geoinfo 2005

21 Mota’s algorithm: Problem
November 23 Geoinfo 2005

22 Topics Power transmission and distribution systems One-line diagrams
State-of-the-art Objective Proposal Results Concluding remarks November 23 Geoinfo 2005

23 Proposal One-line diagram Graph [Mota et al., 2004] Geospatial Graph
November 23 Geoinfo 2005

24 Proposal November 23 Geoinfo 2005

25 Proposal Step 1: Obtain the topology (connections relations) of the power systems elements (buses and branches). Step 2: Add to this topological information, geospatial data related with the network elements Step 3: Generate an estimate of the positions of the buses on the basis of the geospatial data. Step 4: Apply the physically-based algorithm proposed by Mota et al. to generate a crossing-free one-line diagram. November 23 Geoinfo 2005

26 Proposal + 1 2 3 4 Node 1: Northwest Node 2: Southwest
Node 3: Southeast Node 4: Southeast + Nodes: 1,2,3 and 4 Branches: 1-2, 1-3 and 1-4 Step 1 Step 2 November 23 Geoinfo 2005

27 Proposal 2 3 4 1 1 2 3 4 Step 4 Step 3 November 23 Geoinfo 2005

28 Topics Power transmission and distribution systems One-line diagrams
State-of-the-art Objective Proposal Results Concluding remarks November 23 Geoinfo 2005

29 Results: IEEE 30 Test Case
30 Buses 40 Branches November 23 Geoinfo 2005

30 Results: Hypothetical geospatial data
November 23 Geoinfo 2005

31 Results November 23 Geoinfo 2005

32 Results: Brazilian subsystem
58 buses 64 branches November 23 Geoinfo 2005

33 Results: Mota’s algorithm
November 23 Geoinfo 2005

34 Results: Available geospatial data
November 23 Geoinfo 2005

35 Results: First configuration
November 23 Geoinfo 2005

36 Results: Improved algorithm
November 23 Geoinfo 2005

37 Topics Power transmission and distribution systems One-line diagrams
State-of-the-art Objective Proposal Results Concluding remarks November 23 Geoinfo 2005

38 Concluding remarks Using geospatial data for estimating the first configuration of the buses may reduce the branch crossings in Mota’s algorithm. The most important feature of the enhanced algorithm is that incomplete geospatial data suffice in most cases. It is useful for generating one-line diagrams of equivalent circuits, both for studies and analyses. As further work, to apply the algorithm for visualizing the electrical network for distinct purposes (planning, monitoring, etc.). to combine the algorithm with the map simplification algorithm proposed by Adler and Wu to visualize geo-spatial one-line diagram. November 23 Geoinfo 2005

39 Thank You! November 23 Geoinfo 2005

40 Mota’s algorithm Electrical forces (Coulomb’s Law): FCkm=f(dkm2)
dkm < KL FH < 0 (repulsion) dkm > KL FH > 0 (attraction) Mass-spring forces (Hooke’s Law): FHkm=g(dkm-KL) KL (Branch natural length) November 23 Geoinfo 2005


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