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Aravind Kamble
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Aravind Kamble

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Tempting!! Sexy
 
 Steve Russell was the modeling grid modernization DMS project manager who influenced me and my works when I was trying to be a model in fashion world [2004]. 

Here is a DISTRIBUTION MANAGEMENT SYSTEMS thesis : 

Age as a period "characterized by the gathering and almost instantaneous transmission of vast amounts of information." The development of the distribution management system (DMS) will enable the electric utility industry to take advantage of the unprecedented data and technological advances of the information age resulting in better management and optimization of distribution grid performance.

Historically, distribution operations have been characterized by:

-The manual operations of devices by field personnel.

-Local operation of devices by control panels configured to largely operate independent of one another.

-Operational processes based on past practices and a fixed circuit topology.

-Operating parameters based on calculations and approximations focused on peak loading.

-Data spread across multiple databases using various storage media including computer-based storage as well as hard copy.

While these approaches have served the electric utility industry well for over a century, there are inherent limitations contained in these practices, which DMS enables, that offer significant benefit to both the customer and utility.

At first glance, the advanced control functions most frequently discussed in conjunction with DMS would appear to be its greatest strengths.

The ability to manage and optimize voltage and VAR flow through volt/VAR control (VVC) and the ability to automatically locate faults and develop switching solutions to minimize outage footprints via fault identification and service restoration (FISR) form the basis for the benefits made possible by DMS. While both functions generate tremendous benefit for customers and utilities alike, the real transformative power of the DMS is contained in the system model and the continuous, near real-time power flows that DMS generates.

The heart of a DMS is the data model of the distribution system. Two types of data are required for the DMS to accurately represent near real-time conditions for the system: static and operational.

Static system data is data that describes the distribution system over an extended time frame. Updates to this data tend to be long-term in nature and are generally considered permanent. This data includes information from the GIS for the distribution connectivity model, system configurations and land base to represent the distribution lines, as well as substation internal connectivity to model substation connectivity and configurations.

Additionally, relay settings and system impedance data are required along with component and facilities ratings, equipment impedances and ratings, and device settings from reclosers, capacitors and regulator control panels. Finally, the DMS could not run near real-time load flows without customer information regarding customer count, load data and load schedules.

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 maintain 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 technicalresources 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 technology 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 addresses 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 piloting DMS functions in operations can be used to build confidence in the system while verifying functionality.

-New operating strategies to clearly delineate transmission, 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.

-Agreeing on a standard design and configuration across all user regions will also simplify the project.

-Implementing a clear technical environment strategy and change control policy is required.

-Regulatory considerations and uncertainty must be considered.

-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.  [ reference: http://go.shr.lc/Sjpngy ]
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Aravind Kamble

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At last got kitkat on my Nexus 10 today !
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I am still not getting Kitkat on my Nexus 10. Anybody in INDIA who has upgraded to Kitkat?
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They didn't do.. I put on my own :)
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Aravind Kamble

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Weekend will be full of action!!
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Aravind Kamble

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I work for Facebook 😋
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The gdrive and quick office app icons on the start page of Nexus 10 turned to basic android logo after updating to kitkat. Anybody faced the same issue?
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Taking screenshot on Nexus 10 is pain in the ass!! :(
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My Nexus 10 is still not getting KitKat :(
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Aravind Kamble

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At OSI conference, Bangalore.
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When will nexus 10 get kitkat update? Anybody in INDIA has updated to kitkat?
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I have a query. Hope to get answer here. Is there a way to use my nano SIM in Nexus 4? Nexus 4 has Micro SIM bay. 
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You can use an adapter and it will work. Have been using that way. 
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