UK Power Networks Distribution Network Visibility

Transcription

1 UK Power Networks Distribution Network Visibility Presented by Mike Collins Alistair Frith

2 UKPN: Distribution Network Visibility - Data to Information Demonstrates the business benefit of improved collection, utilisation and visualisation of Network Data to support Low Carbon, Asset Management, Network Planning, Operations and Control. Outcomes inform UKPN Telemetry and IT strategies to deliver optimised network monitoring and control. Business Challenge Provide greater visibility of Power Flows across the network to enable better management of complex Load Profiles and Distributed Generation in the future. Solution The UKPN PI System was used to combine data from disparate sources through PI AF. Development of a visualisation solution using MS Silverlight, Visiblox & Bing Maps Results and Benefits Single consolidated Network view Move from Reactive to Proactive maintenance Reduced outages Increased Asset utilisation 2

3 UK Power Networks Electricity Distribution Network Operator (DNO) serving more than 29,000 square km across London and South East of the UK Their three networks (London Power Networks, Eastern Power Networks and Southern Power Networks), use more than 160,000km of underground cables and overhead lines to distribute electricity. UK Power Networks responsibilities include: Maintaining the safety and reliability of the electricity networks Connecting new customers premises to electricity Extending and upgrading the network to meet changing needs UK Power Networks Operational Area 3

4 Capula Independent System Integrator Specialist in Automation & real-time IT Focus on Energy & Utilities Established more than 40 years National coverage across UK&I ~350 staff, 40m turnover Now part of Imtech NV 4

5 DNV - Project Background Low Carbon Network Funded Project commenced 10/2010 OFGEM (UK Regulator) provided 500m to fund projects to explore: New Technologies New Operating arrangements New Commercial arrangements The objective of the funding was to drive innovation that will support and enable a UK wide low carbon economy The learning and outcomes from all LCNF projects will be shared across all UK DNO s UK Electricity Distribution Networks 5

6 DNV - Project Background UKPN has RTU s at all primary and nearly half of its secondary substations at LPN (c. 7,500 sites) Use of RTU data was focussed on immediate identification and rectification of local issues by UKPN Control Engineers to interrogate on the spot but limited RTU data was originally stored on the central UKPN PI System UKPN has had a PI System for over 10 years but like many organisations had not realised significant value from this stored data Given the move to a Distributed Generation model there was a need to provide better visibility of power flows and complex load profiles in order to manage the Network efficiently UK Power Networks Operational Area 6

7 DNV - Project Background Funding for the DNV Project was granted to fully utilise the primary and secondary RTU s across three networks: LPN, EPN & SPN The DNV Project demonstrates the business benefits of smart collection, utilisation and visualisation of data both for current business processes and carbon transition, including: Identification of localised load growth and changes in load patterns Understanding where Distributed Generation is masking load and its impact on planning, outage calculation and restoration Understanding whether assumptions about the duty cycle of assets such as tap changers, transformers etc. are accurate UK Power Networks Operational Area 7

8 DNV - Initial Architecture Prior to the project UKPN was collecting data from their RTU s through ENMAC & Corgis interfaces and storing it into a single PI System Client Side Visualisation PI ProcessBook PI Datalink Key - Raw real-time data Data was accessed through standard OSIsoft visualisation Tools PI ProcessBook and PI DataLink Data was not organised into any asset hierarchy and there was no connection to external databases Server Side PI Server Corgis Data ENMAC Data 8

9 DNV - Implemented Architecture During the project the OSIsoft PI System was upgraded with the addition of two further servers: Client Side Visualisation Key - Raw real-time data - Data cleansing operations An application server running PI AF, SQL server and DNV databases and background tasks Algorithms & Information - Network configuration & asset information A web server serving the front end DNV visualisation application Existing ENMAC and Corgis interfaces were moved to the GE Power-On system Server Side AF SQL Data Cleansing PI Server Power-On Data Powersense Data Weather Data Interfaces were implemented to PI AF for asset databases in Power-On and Ellipse Asset Information (Power-On, Ellipse, Etc.) 9

10 DNV - Solution Components The UKPN OSIsoft PI System was upgraded to 250,000 tags with additional capacity planned in 2014 The UKPN OSIsoft PI System was enhanced through the addition of PI AF GE Power-On (ENMAC) - The UKPN Distribution Management System passes data to the PI System Visiblox Charts, a powerful development tool is used to create fast and stylish Web-based charts Bing maps is a web mapping service provided as part of Microsoft s Bing suite. Custom pins with colour feedback functionality have been developed on top of this platform. Microsoft Silverlight is a powerful development tool for creating engaging, interactive user experiences for Web and mobile applications. Microsoft SQL Server 2008 is an enterprise level relational database management system developed by Microsoft and widely used throughout the software world to manage vast data-stores 10

11 DNV - User Interface The DNV application allows asset and real-time data to be displayed and analysed in a number of differing and complimentary ways in an intuitive tab-controlled interface. The layout of the screen is structured as follows: 1. Help Option (inc. Video clips) 2. Navigation and Favourites Sidebars 3. Application View Tabs 4. Settings Sidebar The application has a wealth of configuration options accessible through two side bars (2 & 4) which can be collapsed to devote more screen space to the main application 11

12 DNV - GIS Tab The GIS Map provides a geographical view of the network When a substation, transformer or feeder is selected from the hierarchy a pin is displayed on the map A number of variables can be applied to these pins to view changes over time or summary values (data from PI AF and PI Server) Functionality includes: Normal Bing-Maps functionality Time slider control, to pan data values during the selected time range Click on a pin to view asset details Double-click to search nearby assets by various parameters (e.g. capacity to add a given load) 12

13 DNV - GIS Tab GIS Map pins can show the following data: Static pins show the location of and information on selected assets Colour-feedback pins represent data values as a colour on the pin and size represents a second value 3-Phase pins: rectangular pins with 3 sections representing the voltage, current or total harmonic distortion on each phase Load Profiles show the load profile colour that the site profile most closely matches for each day on the time slider, which can also show how the usage changes over time Connected Generation uses colour to show the amount of connected generation at secondary sites Quadrant pins show 4 colours representing a value summarised over summer/winter and weekday/weekend, e.g. capacity to provide additional load 13

14 DNV - GIS Tab Non-asset information (shown as triangular pins) from UKPN s New Connections database has been linked into the DNV application Existing load can be displayed with this potential additional load added, based on the connections load profile Capacity to support further additional load can also be shown on the GIS Map Both are displayed as Quadrant Pins showing the ability to support the desired load during summer and winter, weekdays and weekends Ability to also find all nearby new connections by searching on the GIS Map Spare capacity report shows the total spare capacity of each site to support specific load profiles during the seasonal and weekly periods 14

15 DNV - Time Series Data Tab The Time Series Data tab allows the user to generate graphs illustrating data measurements over a defined period of time 1. Chart Area displays the raw and/or clean data from the PI Server through PI AF Data List/Legend Dropdown - this has two tabs: a. the Data List tab displays all possible data streams applicable to the assets selected in the PI AF hierarchy b. the Legend tab lists the data streams currently displayed on the graph 3. User Settings this collapsible side-bar allowing user to change chart settings for individual data streams a b 15

16 DNV - Analytical Data Tab The Analytical Data tab allows the user to produce analytical graphs on data measurement calculations over a defined period (e.g. by hour-of-day), for selected sites 1. Chart Area Displaying calculated, summarised and collated data e.g. maximum load by day of week 2. The User Settings collapsible side-bar allows the users to change the calculation and collation settings, as well as the trace types 3. Graph/Table Tab Selection the analytical values used to populate the graph can also be saved to a csv file for export to 3 rd party applications such as Excel

17 DNV - Reports Tab The Reports tab allows the user to request, queue, and retrieve reports on selected site(s) over a defined period Reports are generated on the server using PI AF and PI Server data, with progress monitored from the application A number of pre-configured reports are available to the user, as well as the facility for them to define their own report criteria Standard reports can also be scheduled to run at pre defined intervals Inbuilt functionality to view report data for selected rows on GIS, Time Series and Analytical tabs Reports can be made public to share with other users and can be saved locally to load into 3 rd party applications e.g. Excel 17

18 DNV - Planning Tool Tab The Planning Tool tab allows the user to view grouped and summed values from all levels of the PI AF hierarchy Replacement for original excel spread sheet which offered limited flexibility Specified and driven from end user requirements and interaction Ability to view individual and summed loads, calculating times of maximum group load over a 400 day period Ability to drill down into half hourly data from the PI Server Ability to export a Maximum Demand report, to feed into 3 rd party distribution planning tools, e.g. DINIS 18

19 DNV - Quick Launch Tab A Quick Launch tab has been created to simplify access to information and which gives rapid access to the most commonly needed scenarios These options will multiply as the use of the application grows Each Quick Launch or Shortcut opens a settings window showing all applicable settings in one place pre-configured to agreed default values In most cases the user only needs select which asset to apply the required Quick launch or Shortcut Implementation of the Quick Launch/Shortcut approach was developed in partnership with the UKPN user base and improves the user experience and efficiency 19

20 DNV - Summary Dashboard Tab A Summary Dashboard tab has been created give an initial jump-off point for further investigations The dashboard is driven by a daily report which summarises several key performance indicators retrieved from the PI Server The history of each indicator can be viewed in a trend Each KPI has an associated report showing the most critical assets contributing to the KPI value 20

21 DNV - Business Benefits The DNV application was adopted as a Business as Usual Solution by UKPN and has already delivered the following benefits: Network wide overview and Reporting Early identification of Network problems Outage avoidance Optimised Asset utilisation Understanding of long term usage trends Enhanced Power Flow analysis Improved Network capacity planning 21

22 DNV - Future Developments The DNV application is continually being developed and the key areas of focus are: Further Visualisation development Addition of PI Notifications Additional Low Carbon Load profiles Additional Data Cleansing operations Migration to HTML 5 22

23 Mike Collins & Alistair Frith Business Sector Head Utilities & Industry Capula Ltd 23

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