Making Business Sense of Distribution Automation Systems: The Case of Eskom, South Africa

Gutschow, D.; Kachieng'a, M.O.

doi:10.1109/tpwrs.2004.841215

Cited by 11 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, IT plays an important role in tackling the data management issues. Such automation should necessarily be preferred over manual activities and this distribution automation (DA) can provide power utilities with a long-term competitive advantage through better power reliability and improved customer service (Gutschow and Kachieng, 2005). Activities such as works asset management system (AMS), work management system (WMS), meter data management system (MDMS), outage management system (OMS) etc.…”

Section: Information Technology Company (Itcom)mentioning

confidence: 99%

Smart electricity distribution networks, business models, and application for developing countries

2018

View full text Add to dashboard Cite

The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that: • a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.

show abstract

Section: Information Technology Company (Itcom)mentioning

confidence: 99%

Smart electricity distribution networks, business models, and application for developing countries

2018

View full text Add to dashboard Cite

show abstract

“…On the other hand, the intangible benefits cannot be quantified; however, they assist the business case. Focusing on the network modelling challenges mentioned in the previous section; we have applied the Quality Function Deployment method (QFD) [4] in order to provide a logical relationship between all the stakeholders' requirements for NG's network modelling issues (rows of figure.2) and the technical capabilities/benefits of dynamic distribution system equivalents (columns of figure. ii.…”

Section: Scope Of the Dynamic Equivalentsmentioning

confidence: 99%

Developing and enhancing business processes to enable higher levels of TSO-DSO interaction

Muttalib

Taylor

Bradley

2016

CIRED Workshop 2016

View full text Add to dashboard Cite

As a consequence of the progressive evolution of smart grid functionality, distribution systems are transitioning towards more active network management and are therefore posing significant challenges to the transmission system operators. The conventional approach of planning and operating the transmission and distribution systems, as virtually separate entities with limited coordination, will no longer be applicable in the near future. In this paper, a strategy has been proposed for the operational planning procedure to adapt the dynamic distribution system equivalents. The strategy has been demonstrated using a fully detailed offline model of the complete transmission system of Great Britain as operated by National Grid. The proposed system modelling approach, with limited but robust visibility of the relevant systems, needs to be supported by revising and refining the business framework that will enable higher levels of Transmission System Operator-Distribution System Operator interaction.

show abstract

“…This approach can contribute to the reduction of the cost of the implementation o distribution wide PQ monitoring systems because it is not necessary to contemplate the cost of the instrumentation at actual customer service entrance locations. Again, the information that characterises the PQ levels being experienced by customers could be complemented with the PQ on selected utility distribution feeders by the using of dedicated PQ monitoring devices or Intelligent Electronic Devices (IED) [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Power Quality monitoring integration into distribution automation through the use of AMR

Moreno-Munoz

Bellido

Oterino

et al. 2008

2008 IEEE International Conference on Industrial Technology

View full text Add to dashboard Cite

Some of the authors of this publication are also working on these related projects:Multi-physic models for PCB concurrent simulation View project All content following this page was uploaded by J. J. González de la Rosa on 09 November 2015.The user has requested enhancement of the downloaded file. All in-text references underlined in blue are added to the original document and are linked to publications on ResearchGate, letting you access and read them immediately. Power Quality Monitoring Integration into Distribution Automation through the Use of AMRAbstract-Power-quality events are of increasing concern for the economy because today's equipment, particularly computers and automated manufacturing devices, is highly sensitive to such imperfections. With volatile energy rates and a need to control costs, regional agencies and utilities are interested in technologies to meter distribution use and manage utility information. Metering technologies and communications systems have advanced to enable the development of Automated Meter Reading (AMR) Systems. Power Quality is one area where the AMR system can be very valuable. This paper investigates the challenges in the development of distributed power-quality monitoring system. The approach of this paper is divided into metering, data collection, archiving, analysis, and presentation. It also discusses system architecture, implementation, and provides general guidelines in the tailoring of PQ indexes. This paper describes the challenges and lessons learned from this work..

show abstract

Making Business Sense of Distribution Automation Systems: The Case of Eskom, South Africa

Cited by 11 publications

References 11 publications

Smart electricity distribution networks, business models, and application for developing countries

Smart electricity distribution networks, business models, and application for developing countries

Developing and enhancing business processes to enable higher levels of TSO-DSO interaction

Power Quality monitoring integration into distribution automation through the use of AMR

Contact Info

Product

Resources

About