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This paper expands the conventional concept of microgrids — predetermined groups of loads and generators electrically connected to each other and possibly to the main power grid — into a new concept of dynamic microgrids (DMs) which allows different groupings of these resources based on actual real time supply and demand conditions in the network. Under the DM paradigm, the distribution network is...
Classification of data is an important step to strengthen the control of data, define how it is distributed, and who has access to the data. There are established practices among other industries like finance and banking. This paper describes a security framework for classification of data in electric utilities.
Transition to Smart Grid involves tracking the deployment in multiple functional areas of the utility. This is often carried out by periodic reviews of identified metrics for each functional area. The level of development and deployment that has been already realized needs to be assessed at the initial stage and at important milestones to progress along the roadmap. One of the primary requirements...
Power System Analytics Applications have always been available only as in-premise licensed software -- the use of a SaaS model for delivering the Analytics to the user is a first in the history of the power sector. In this paper, we describe how SaaS based webDNA architecture [1] can be extended to facilitate common power system data repository and associated analytics. We present case studies in...
Utilities world over use decision support tools based on in-premise software with standalone architecture and suffer vulnerability when needing to extend their application to meet new business requirements. Accessibility of these applications are limited to specific operating environments resulting in restricted information being available at the right place and time to support decision making. Unlike...
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