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Geographical Visualisation of CIM networks using Google APIs. Alan McMorran. Network Topologies. Common Power System Model (CPSM) CIM data contains topological data at a node-breaker level
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Geographical Visualisation of CIM networks using Google APIs Alan McMorran
Network Topologies • Common Power System Model (CPSM) CIM data contains topological data at a node-breaker level • IEC 61970-301 does not natively support the embedding of single-line diagram layout or geographical position data
CDPSM • The Common Distribution Power System Model (CDPSM) extends the CPSM and incorporates IEC 61968 classes for geographical data • The Location and GmlPosition (formerly CoordinatePair) allows the geographical location of equipment to be embedded within the model
CDPSM • The Location class has a 0..n association with Power System Resource • For CDPSM the container classes, Substation and Line, have a corresponding Geographical Location PowerSystem Resource • Location • locationType • locationCode • polygonFlag Equipment • GmlPosition • xPosition • yPosition • zPosition • sequenceNumber Equipment Container Line Substation
Google Maps • Web based map and aerial imagery viewer • Google provides a powerful API that is free to use for building non-commercial applications (pricing starts at $10k/year for Google Maps for Enterprise for intranet applications) • Using Google Maps API, Canvas API, some custom Javascript libraries and back-end server processing, network layouts can be overlayed onto the map
Basic Embedding • The simplest form of geographical embedding is single coordinates for substations • Combining this with the network topology information within the CIM XML file allows a simple network diagram to be constructed
Basic Embedding • EDF Aiguebelle network in the Alps • Example of a LV distribution network • Each marker represents a substation • No line routing data
Enhancing the View • Since the CIM data contains the electrical model, voltages can be easily extracted • This in turn can be used to add colour to denote voltage to lines and substations • Substation icons are drawn to represent the different voltages within a substation
Transmission Level • The same process can be applied to Transmission networks • A CIM electrical model of the Scottish Power network was taken from their EMS • Geographical data was taken from their asset database, converted from UK Grid coordinates to Latitude and Longitude and embedded within the CIM XML file
Line Routing Data • CDPSM supports multiple coordinates for each location • A sequencePosition denotes the order each coordinate should be drawn in • This allows line routing data to be embedded along with the substation location data
Embedding Other Data • Viewable data not limited to colours to denote voltage • Simple to add additional data to the map depending on requirements • Asset data extracted from SP Asset database integrated with EMS model • Viewable through Google Maps interface
Enhancing View • Additional data can be incorporated using the same interface • Anything that can have a Location associated can be plotted on the map • Anything associated with a Substation can be embedded in the marker details window
Aerial View • As well as the map view Google Maps has aerial imagery • Shows the accuracy of the data after conversion from UK Grid to Latitude and Longitude Scottish Power Charlotte Street 275/33kV Substation Glasgow, UK
Google Earth • Full 3D model of the Earth with overlay of aerial and satellite imagery • Google Earth allows overlay of data in a similar manner to Google Map • Data is encoded in Keyhole Markup Language (KML), an XML schema
Telemetry Processor • Software developed using AI techniques by team within the University in conjunction with SP • Processes SCADA data and classifies incidents using an expert system derived from protection engineers’ expertise • Allows engineers to quickly identify and rectify faults on the network • Resulting data put into custom MySQL database schema
Telemetry Processor • Existing interface lists incidents and the corresponding events • Suitable for viewing a list of incidents but difficult to identify clusters either temporally or spatially • Raw data is from SCADA • No link with data from other systems (e.g. EMS, GIS, Asset, Work Management etc.) • The CIM provides an avenue for both utilising other data in the existing processor and linking its results to other systems and applications
CIM Messaging • Telemetry Processor results can be mapped to CIM and a corresponding message schema created • ActivityRecord • Name • Description • Status • statusDateTime PowerSystemResource 0..n Message NetworkActivity 0..n Equipment EquipmentContainer FailureEvent Substation • ActivityRecord • Name • Description • Status • statusDateTime IncidentRecord PowerSystemResource 0..n 0..n 0..n
CIM Messaging • A client application polls the server for any events on the network in last x seconds and server returns resulting XML message • Server-side data is generated from dynamic CIM model containing EMS/DMS, Location, SCADA and Telemetry Processor data in CIM format
Client Side • Client side browser generates a network map from the CDPSM compliant (or enhanced CPSM) data on the server • To highlights faults on the network, the incident’s substation and/or line identifier is included in the message payload • The CIM message’s substation and/or line references are consistent with those used to generate the map view
Geographical Highlighting • The event in each message is highlighted on the map • The user can quickly identify clusters of faults • Icons can be colour coded according to fault type
Temporal Tracking • As well as showing the location a fault takes place it is useful to show how events relate to each other in the time-domain • Timeline is a DHTML/Javascript widget developed by the SIMILE project at MIT for viewing time-based information • A Javascript library decodes the CIM messages and uses the data to simultaneously plot the location on the map and on this Timeline
Temporal Tracking • Multiple bands have different Interval units (milliseconds, hours, days, weeks and months) • Timeline updated along with map as new events are received and processed • Can be used to show real-time and historical network activity
Problems Encountered • No consistent identifiers between EMS, Asset and SCADA data at SP • Manual data cleansing and mapping was required in a number of cases • Multiple coordinate systems must be converted for use with Google Maps (Lambert I-IV, UK Ordnance Survey, Latitude/Longitude) • Performance issues in Google Maps with large complex distribution networks
Future Avenues • Overlay of additional data including load demand & generation capacity • Enhancing incident reports by using the combined electrical and geographical model (e.g. working out line fault locations from impedance) • Remote access via palm-tops and sub-notebooks for on-site engineers
Questions? • For more information and a demo of the Mercury software go to: • http://cimphony.org