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Unlocking distribution network capacity through real-time thermal rating for high penetration of DGs
•Network component thermal models are examined for a real-time thermal rating (RTTR).•We discussed stochasticities and models of customer loads and distributed generation (DG).•A framework to increase an hour-by-hour rating of distribution network is presented.•Distribution network loading capacity...
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Published in: | Electric power systems research 2014-12, Vol.117, p.36-46 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Network component thermal models are examined for a real-time thermal rating (RTTR).•We discussed stochasticities and models of customer loads and distributed generation (DG).•A framework to increase an hour-by-hour rating of distribution network is presented.•Distribution network loading capacity and utilization of DG is increased with RTTR.•Increased potential for new DG integration and deferral of network investment with RTTR.
Highly stochastic loading in the emerging active distribution networks means that electric utilities need to use their assets to the fullest by deploying intelligent network management tools. Real-time thermal rating (RTTR) provides possibility for short term and even real-time active distribution network management enabling the network to run closer to an overload state without damage. In this study, a RTTR based active distribution network management framework is formulated giving hour-by-hour network capacity limits. Relationships of stochasticities in customer loads and DG output with thermal responses of underground cables, overhead lines and distribution transformers are explained. RTTR is applied on all distribution network components with simulated scenarios involving various levels of DG penetration. This study quantifies the potential for an increased DG utilization and an increased potential for new DG installations when RTTR is integrated with distribution management systems. |
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ISSN: | 0378-7796 1873-2046 |
DOI: | 10.1016/j.epsr.2014.07.032 |