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Using a distrubution management system to improve asset management

Hahn Tram
SchlumbergerSema 6399 South Fiddler’s Green Circle,
Suite 600 Greenwood Village, CO 80111


Abstract
Most utilities implement a Distribution Management System (DMS) to increase service reliability, improve customer responses, reduce operational costs (mostly labor), and meet regulatory requirements. This paper focuses on increasing the utilization and return on investments of DMS by extending its applications to reduce the lifecycle costs of distribution network assets. DMS technologies, consisting of Distribution Supervisory Control And Data Acquisition (SCADA), applications for control room and dispatch operations, outage management, etc., are commonly available today. This paper does not propose any enhancements to these existing products. Rather, it presents a business process model to extend the benefits of existing DMS applications to collect business metrics for Enterprise Asset Management, reduce inspection and maintenance costs, and enable value-based system planning and engineering to minimize capital project requirements.

The expanding DMS business objectives The drivers and business case for a DMS have shifted and expanded over the years since DMSs or Outage Management Systems (OMSs) became commercially available around 1990:
  • Early to Mid 1990s DMS was designed and implemented to meet regulatory requirements, improve service reliability, and increase operational efficiency. The focus was particularly on meeting regulatory requirements and improved outage durations.

  • Late 1990s Adding to the earlier objectives, DMS was intended to increase operational efficiency, improve communications both internally within the utility and externally with customers and the public, and enable value-added services, such as customer callback and performance-based rates. The focus was increasingly on operating efficiency and communication improvements [Tram and Engelken, 2000].

  • Today's Focus Utilities are beginning to extend the business value of DMS investments to support Enterprise Asset Management (EAM) for increased asset utilizations and financial return on assets. They also aim to increase the effectiveness of DMS in daily operations by leveraging the asset registries in EAM to further increase the aforementioned DMS business benefits. Such focus is the subject of this paper.
Enterprise asset management
The EAM discipline is aimed at increasing the return on asset investments by reducing the total costs of asset ownership and by increasing asset utilizations. Before exploring how DMS can benefit EAM and vice versa, this section provides a quick overview of EAM—its business model, drivers, and core processes—to ensure that the two systems and process models are aligned.

The EAM Business Model
The EAM business model has three main entities (by functions if not by organization units):
  • Asset Owner The asset owner sets investment levels, determines the desired internal rate of return, defines the acceptable risk profiles, and manages the regulatory relations.

  • Asset Manager The asset manager is responsible for the effectiveness of the asset investments, deciding what work to perform on the assets and where and when.

  • Service Provider The service provider is responsible for timely and efficient work execution and for resourcing and scheduling the jobs within the budget and time allotted.
EAM is about improving the effectiveness of the asset manager. Note that the service provider functions may be outsourced to another company in some utilities. Likewise, some utilities may act as the asset manager for energy delivery assets that other companies own. This point is important in designing EAM integration architecture.

The Asset Management Paradigm
Now that the race to e-everything and diversify has slowed, many utilities’ focus and information technology strategies are returning to the utility core business—running the energy delivery system. As they have prepared for deregulation and competition over the last decade, utilities have emphasized and generally achieved good gains in labor efficiency and customer services. The next plateau in business performance is managing the energy delivery assets more effectively, not just more efficiently [Tram, 2002].

Observations such as the following have indeed directed many utility executives to take a fresh look at the way their assets are used and managed:
  • At the end of 2000, the top 100 electric utilities in North America had T&D assets valued at $285 billion [source EEI].
  • From 1991 to 2000, these utilities invested an average of $6.1 billion per year in new assets [source PowerDat].
  • These investments earned less than half of what the Standard and Poors (S&P) 500 companies earned [source TK Consulting].
Also fueling the utility interests in EAM today and in the foreseeable future are the following factors: more limited capital due to lower market caps, an aging workforce, aging assets, tighter capacity constraints, and a more constrained regulatory environment (e.g., frozen rates).

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