Unlocking distribution network capacity through real-time thermal rating for high penetration of DGs

Merkebu Degefa, Muhammad Humayun, Amir Safdarian, Matti Koivisto, John Millar, Matti Lehtonen

Research output: Contribution to journalArticleScientificpeer-review

29 Citations (Scopus)
135 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)36-46
JournalElectric Power Systems Research
Volume117
DOIs
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed

Keywords

  • Active network management
  • Distributed generation control
  • Load forecasting
  • Power flow
  • Real-time thermal rating
  • State estimation

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