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Model-driven Asset Managementfor Condition-Based Maintenance

Using the CIM Data Engineering Toolkit and the PI Historian

ABB Network Management, Kansas Cit y Power & Light (KCPL) and the Electr ic Power Research

Institute (EPRI) have completed an R&D project to implement a Data Mining funct ion based on

the CIM DE Toolki t and the OSIsoft PI Histor ian. The resulting product is an advanced

Model-driven Asset Management funct ion that KCPL wil l use as a Condit ion-Based Maintenance

application for transformers and breakers.

Although the data stored in the PI Historian is

very useful for evaluating the history of the

electrical network, it was of limited use for

tracking the condition of actual physical assets.

Other than the tags required for StateEstimation, no information in the DE, EMS, or PI

intrinsically links any data to a location in the

electrical network. Even for data that can be

located in the electrical network, no intrinsic data

indicates which Asset was in use at any given

time in history. The history of an object could

be determined through manual investigation, but

not through any time-feasible method.

KCPL recognized the need to distinguish between the physical assets and the functional components

that make up the EMS electrical network model. It is not uncommon for an asset to be relocated so

that its role in the EMS model has changed even though its identity has not. This changingrelationship between an Asset and its location in the electrical network can complicate the problem of

maintenance when using only the data and tools available in a conventional EMS-Historian

deployment.

To solve this problem, an R&D project was conducted by ABB, KCPL and EPRI, with the following

objectives:

1. Use the new PI Analysis Framework (AF) functionality to implement a CIM-compliant representation

of the KCPL system in the Historian, so that historical data can be accessed in terms of this model

as an alternative to using the more conventional access methods based on the ID of a telemetered

or calculated "point". In this context, "CIM-compliant" means a completerepresentation, in terms

of the CIM, of the KCPL electrical system, including all electrical devices, along with their staticattributes and normal connectivity.

2. Extend the CIM model as needed, both in the CIM DE and in the PI AF, to represent the distinction

between the electrical components of the network model and the corresponding physical assets,

especially with respect to their association with the telemetered and/or calculated data (i.e.,

Measurements) produced by the EMS.

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3. Use the existing CIM DE as the single source of the network model for both the EMS and the PI AF.

The interface to the EMS continues to use the existing export application but the interface to the PI

AF is a GID compliant interface consisting of a GDA server, GDA client(s), and a message bus.

4. Expand the "scope" of the CIM DE network model to include detailed electrical facilities up to and

including the medium voltage distribution feeder breakers. Also add any "dual model" extensions

needed to support exporting a more simplified representation of these new facilities to the EMS

system (e.g., a single injection in place of a group of distribution feeders) while exposing thedetailed model via the GDA server for export to the PI AF.

The implementation started in the Data Engineering component. The CIM Asset package was added

to the DE Toolkit database, allowing the users to associate real-world Assets with locations in the

electrical network, and to associate telemetry with the Assets. This allows PI to track historical data for

Assets separately from the historical data for the electrical network using performance calculations.

Various tools and user interface enhancements were created to assist with entering the new data.

The PI AF database was added to store a history-enabled copy of the electrical network and Assets.

The data in AF is stored using CIM classes and properties. AF is able to directly retrieve data from the

PI database for specific Assets or electrical equipment. AF provides programming APIs to access the

model data and historical telemetry so that reports can be created from the data stored in AF and PI.In this case, a report was created to determine the last time a breaker Asset was opened so that

breakers could be identified for routine maintenance.

The SISCO UIB solution was used to create a CIM GDA bus to draw data from the DE Toolkit into the

AF database.

The new implementation and the underlying infrastructure are illustrated in figure 1 below:

Figure 1 Technical Overview

GDA Bus (IBM MQ/SISCO UIB)

ABB CIM DEToolkit

ABBNetworkManager

EMS

OSIsoft PIAF

ABB DEGDA

Service

GDA ClientsSISCO PI AFAdapter &

ModelSynchronizer

Preexisting Components

OSIsoft PIHistorian

AF Clients

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In addition to the Condition-Based Maintenance application, this new technology will allow KCPL to

implement new analysis and reporting functions of significant economic and technical benefit.

PI ServerPI ServerAF

Network ManagerEMS

.

CIM DE

Environment

.

.. field devices

AssetManagementSystem

Condition-Based MaintenanceApplication

GDA

Desktop access

Paging/email notification

Web access

Figure 2 Functional Overview