Electricity Asset Management Plan 2019-2029
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Vector Limited://
With Vector’s field work outsourced to our Field Services Partners (FSPs) and other external parties, we maintain a significant engagement model to ensure a secure and reliable information exchange with Vector. There are multiple points of interaction with the various service providers, ranging from direct access to our information systems to alternate indirect means for accessing and providing information. The development of secure, scalable and reliable interfaces with our service providers is therefore a key focus for the initial period of the AMP.
4.9.3 MAINTENANCE & CONSTRUCTION AND RECORDS & ASSET MANAGEMENT Overview
In line with our stated objectives and to enable Vector to deliver on its asset management strategies as per this AMP, a number of digital system and applications are used to inform asset management, with the three primary systems used for this purpose being SAP-PM, GIS and CBARM. These systems are used to plan and inform both capital investment and maintenance investment. Current state & stage in application lifecycle SAP-PM holds records of our regulated assets, their financial value, depreciation, procurement history, accounting data and financial control history. SAP-PM is also used as the repository for planned maintenance by our FSPs and enables auditing of planned maintenance activities by Vector engineers. CBARM is informed by our SAP-PM database and provides a view of the risk of condition based failure of network assets. It contains indices that measure health and criticality and is our tool for making decisions for our programme of works to replace assets in the AMP period. We currently have fully developed CBARM models for the following asset classes: overhead conductors, distribution transformers and 11kV ring main units. Development of CBARM models for our other asset classes (power transformers, primary switchgear and cables) is in progress. GIS provides the geospatial view of our regulated assets and informs the day to day planning of our asset management as well as our long-term asset and network strategies. This system includes data of electrical attributes of assets, connectivity, land base data, topological maps and photographs. It is also the primary repository that additions and deletions of assets. Strategy & Plan for the period We will continue the granularity of our assets data, historical and new, in the SAP-PM database into the CBARM models, addressing gaps identified in the SAP platforms used by our FSPs. This stems from historical paper-based record keeping, which in many cases had incomplete data. The investment strategy during the period covered by this AMP for these key systems is anchored by the planned investment in the plant maintenance module of SAP (SAP-PM). This will enhance our asset replacement, planning and maintenance capabilities by centralising operational history, providing additional auditing capability for planned and corrective maintenance activities and incorporating financial transactions. Operational data will be captured and updated directly for each asset through the mobile devices our service providers use. We will continue to complete our fleet of spreadsheet-based CBARM models for our different asset classes, however they will be systemised in the longer term as part of SAP-PM; this means that an up to date and live version of the model will always be available. 4.9.4 NETWORK EXTENSION PLANNING Overview Data, information and insights that enable the planning process for activities such as demand forecasting are mainly stored in the Historian (OSI-PI) system. Data from PI is used as an input into the network modelling tool (DigSILENT PowerFactory). In addition to the data from PI, the network model is kept up-to-date with network connectivity and characteristic data (e.g. cable length, size, composition, etc) from GIS (GE SmallWorld). Regular downloads from GIS ensure the quality of the information used for modelling. We are continuing our focus on data cleansing within the GIS system to ensure that the geospatial views and layouts that inform asset management, maintenance planning and investment are accurate.
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