Low Voltage Asset Management (LVAM) The key to reliable and safe electricity



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Low Voltage Asset Management (LVAM) The key to reliable and safe electricity Archie Jaykaran Distribution Division Eskom SA

Contents Change drivers Scope, Approach, Project status LV Planning and Design LV forecasting Maintenance and Operations Data Conclusion 2

Change Drivers Rapid growth in network infrastructure to support economic growth and Universal Access. Currently 4 million- expected increase 1.5m Ageing network infrastructure - growing need for refurbishment and replacement of assets Public Safety - networks are an increasing risk Increasing opex expenditure- to keep the lights burning Regulatory and legislative requirements eg. SANS 10142-1, NRS 057&048 Overloaded networks Theft, tampering, illegal connections - cancerous A Corrective Maintenance approach on low voltage networks 3

Scope of low voltage asset management project LV Overhead Network MV Line LV Overhead Line LV Service Connection LV Installation MV/LV transformer LV Fuses x x LV Line (ABC) Service connection box with 4 x MCBs x n homes x n homes Meter LV pole Asset Management Approach PAS 55 4

Project status Completed We are here Assessment Design/Scoping Implementation Implementation Phase I Phase II Phase II Phase II 2009 Y1 (2010) Y1 (2010) Y2 (2011) LV Asset Management assessment and project charter (1yr) Recommendation Solutions for Identified Gaps (2 months) Implement prioritised projects (1yr) Full Rollout / Implementation of Asset Management (1yr) Delivered Project team Project charter Specific findings per life cycle stage (Gap Analysis) Information requirements OD requirements Change Management Identified LV maintenance staffing requirement Scope Define initial design / scoping study Analyse life cycle focus areas and produce plan per issue Define y1 implementation plan Develop Change Management Plan Investigate OD Lifecycle data requirements Prioritise solutions Implement prioritised year one projects Implement prioritised y2 projects Define and set up PMO Define desired end state 5 5

LV Planning and Design Challenges / lessons Incoherent Planning and Design policy Inaccurate load forecasting - results in overloading 6

Key Deliverable: LV Planning and Design Policy Objective: Define principles to improve LV network planning and design Contents: Specifies the primary principles and assumptions to be used during network planning and design. Defines the responsibilities of the MV/LV project engineering department. Documents the expectations from other stakeholders e.g. MV Network Planning, Electrification Planning, the Technology Group etc., to ensure proper integration and co-ordination. Sets out the principles for the costing and evaluation of electrification projects. 7

LV Load Forecasting methodology Objective: More accurate load forecasting for domestic customers Approach: Determine correct measures to estimate energy consumption Living Standards Measure (LSM) more accurate than Household Income to estimate energy consumption Independent surveys by SAARF (South African Advertising Research Foundation) every 2 years no effort on part of utility Based on amongst others, ownership of electric appliances directly related to electricity consumption Established guidelines to estimate LSM based on type of dwellings Develop comprehensive load forecasting methodology based on existing load research (NRS 034), and DT-PET (Distribution Pre- Electrification Tool) easy. 8

Overview of new LV load forecasting methodology 9

LV Maintenance strategy Corrective Maintenance Approach Conditionbased Maintenance Reliability Centred Maintenance (RCM) Approach 2010 2011 No inspections Run to failure approach Time-based inspection intervals Time-based Inspection intervals based on risk Maintenance based on RCM Analysis (FMEA & Maint Logic) 10

Inspection frequency based on risk assessment Network type (A) Demographic (B) Network Age (C) High Risk (H) Overhead Open Conductor Medium Risk (M) Insulated Bundled Conductors Low Risk (L) Underground cables Urban Semi Rural Rural >10yrs 5-10 Yrs <5 yrs Risk Range 5 3 1 Risk Task Frequency 1-4 60 months 5-8 36 months 9-12 12 months 13-15 9 months 11

Failure Mode, and Effects Analysis (FMEA) For each LV asset, the component was analysed to determine the impact on the network: Function Functional Failure Failure Mode Failure Effect Maintenance Decision Tree Maintenance tasks (inputs to job plans) New Maintenance program 12

Maintenance solutions addresses the following: New maintenance programme established to cover all customers and approx. 300,000 transformers zones New staffing model developed additional 1,000 Technical Officials (TOs) being appointed Increase in vehicles and transport budget New training programme introduced focused on LV LV Planning and Design guidelines to reduce life cycle costs by considering the impact on O & M. 13

LV Asset Data Objective: Solve the challenge of limited LV network data data is key to AM Approach: Developed a detailed data specification for all major LV assets. Defines all data elements that are required to adequately manage LV assets and to effectively perform tasks such as planning, design, maintenance etc. Identifies the information systems in which the data currently reside Defines the actions to be performed by different stakeholders (e.g. create, read, update and delete) in each system. 14

LV Asset Data Extract of the data specification. Asset Group (e.g. Transformer Zone ID) o Assets (e.g. Transformers, LV feeder, Point of Supply, Service Connection) Asset Component (e.g. Earthing, Structure, Surge Arrestor etc) o Data Type (e.g. As built data, maintenance data, procurement data etc) Data Attribute (e.g. Transformer no., kva rating, mounting, primary voltage etc) o Alignment with Common Information Model (CIM) Mandatory (Y/N) Etc. 15

Conclusion Eskom is taking a holistic approach to managing LV assets in a way that optimizes life-cycle cost, operational efficiency and balances risk. To date the programme has developed several solutions that will improve the planning, design, commissioning and operations and maintenance of LV networks. The expected end state (18 to 24 months) will result in the following benefits: LV and MV networks are optimally planned and designed to meet customer expectations Correct prioritisation of capital expansion, refurbishment and strengthening of LV networks; Correct commissioning and hand-over of constructed LV assets; A pro-active maintenance approach that optimises resources and which helps to reduce the number of supply interruptions and risk to public safety; Optimised asset life and return on invest; Accurate and easily accessible data on LV assets to enable strategic and operational decisions; Ultimately the LV AM programme will result in an AM system that will ensure more reliable LV electricity networks that facilitate public safety. 16

THANK YOU 17