Intelligent Utility Jan-Feb 2013

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OPERATIONAL PERSPECTIVES WWW.INTELLIGENTUTILITY.COM /// SEPTEMBER/OCTOBER 2012 10 During the nightly model build process, static system data is used to create the DMS data model for the next day. Updates that occur on a regular basis, such as GIS updates are reflected each night. Updates that occur less frequently, such as relay setting changes can be updated on a periodic or as needed basis. Operational data, on the other hand, is short term and generally considered to be temporary changes. Operational data frequently deals with changes to connectivity or equipment settings in response to system conditions or fieldwork. This typically includes device status changes, the opening or closing of switches, or the installation of temporary jumpers or grounding sets. Operational data is generally entered directly into the DMS by distribution system operators or updated automatically by the outage management system. When combined with actual, telemetered data from SCADA devices for error correction, the DMS data model using both static and operational data forms the foundation necessary for the DMS to perform near real-time power flow calculations and analysis that reflect the current conditions on the system. These power flow calculation then enables the optimizations advanced functions such as VVC and FISR. VVC and FISR each provide significant near-term benefits that utilities can use to build business cases for DMS implementation. However, in the long run, flexibility and adaptability, particularity as they relate to the development and realization of advanced functions and optimizations, are critical to leveraging the investment in DMS and fully realizing the potential DMS represents. With this in mind, the following are key considerations for a utility considering a DMS: ? ? Does the DMS possess sufficient data modeling capability to support the development and growth of advanced functions? ? ? Does the DMS possess the broad-based power flow and analytical capabilities necessary to support the initial optimization algorithms as well as development and growth for additional advanced functions? ? ? Does the underlying architecture support the ability to grow and expand, and does it have the scalability to accommodate the data and telemetry associated with an electric distribution system? ? ? Does the DMS have sufficient initial functionality to support the business case required to deploy such a system, or is the DMS focused on a single function? ? ? Is there a commitment from management to address data quality including the initial clean-up and implementing the processes necessary to main- tain the data? ? ? Are there plans to deploy field devices to actuate the DMS controls? ? ? DMS is complex software; do the vendors involved have the experience and technical resources to support the initial implementation, as well as the development of additional advanced functions? As Duke Energy has worked through the implementation of its DMS, several lessons learned have emerged that other utilities may benefit from considering: ? ? Strong executive vision and sponsorship are essential to the success of the project and requirements to successfully initiate the project. ? ? Strong management support, at all levels, is required to complete the implementation and realize the expected benefits. ? ? The implantation of a DMS will result in significant change across the organization; so change management and communication are critical and must be built into the project plan. ? ? The DMS is as much an IT project as it is a business project; so joint business and information technol- ogy leadership are required for success. ? ? DMS will drive both GIS support and IT to become operational partners with the business rather than their traditional roles of back office support. ? ? Establishing a viable data model that address- es both initial data clean-up and on-going data
management is essential, and this may require its own project separate from the DMS. ? ? A project team staffed with active distribution operations personnel aids implementation and eases the burden of changes. ? ? A skilled project team with an operational focus is a key to success. ? ? A phased approach to deploying the DMS functions into the operations group helps to mitigate change management. ? ? Testing with operational scenarios and pilot- ing DMS functions in operations can be used to build confidence in the system while verifying functionality. ? ? New operating strategies to clearly delineate trans- mission, and EMS control, from distribution and DMS control, are required but not always easy to achieve. ? ? Operator roles will change potentially creating staffing challenges, particularly as it related to skill sets. ? ? Agreement to use standard software with minimal to no customizations will simplify the project. A breakthrough in Smart Grid performance. Callisto delivers the answers that electric, gas, and water utilities require to improve grid performance and manage their operations more efficiently. Our Grid Performance System includes: ? ? Agreeing on a standard design and configuration across all user regions will also simplify the project. ? ? Implementing a clear technical environment strat- egy and change control policy is required. ? ? Regulatory considerations and uncertainty must be considered. • Groundbreaking, customizable user interface tailored to each customer • Standard notification and analytics capabilities for outage, voltage, transformer monitoring and theft, at no additional cost • “Stackable Answers” that provide the ability to upgrade functionality and enable the lowest total cost of ownership in the industry Built on Elster’s proven solutions – with more than 100 operational systems, and a wealth of experience working with utilities, Callisto and our exceptional support teams will exceed your expectations. You have questions? Elster Answers. Call 919.212.5067, contact sales@us.elster.com or visit Elster.com for more information. ? ? Establishing and maintaining a strong vendor/user relationship is essential. VVC and FISR are just the beginning of what DMS can do to benefit customers and utilities for decades to come. With an accurate data model, SCADA telemetry and power flows, the DMS has all the ingredients necessary to support virtually any conceivable optimization algorithm to manage the system. These elements are what set the DMS apart from other systems and applications, and establish the DMS as the strategic platform needed to enable growth and the development of future functionality necessary to transform the electric utility industry. Steve Russell is Duke Energy’s grid modernization DMS project manager. He has been with Duke Energy for nearly 30 years, serving in a variety of roles, including engineering, operations, construction, finance, forecasting, scheduling, outage management, metering and corporate compliance and ethics. WWW.INTELLIGENTUTILITY.COM 11
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Intelligent Utility Jan-Feb 2013

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