Distribution power flow management utilising an online constraint programming method

Michael James Dolan, Euan Davidson, Graham Ault, Keith Bell, Stephen McArthur

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


This paper presents a novel active power flow management (PFM) method for managing multiple distributed generator (DG) units connected to medium voltage distribution networks. The method uses the artificial intelligence technique of constraint programming to autonomously manage DG real power outputs and offers flexible and network agnostic characteristics. The method is assessed using multiple scenarios on two real case study networks to examine simulated closed-loop control actions under certain thermal excursions. The test cases are explored with algorithms implemented, in software, on commercially available substation computing hardware to identify computation timescales and investigate algorithm robustness when presented with measurement error. The archival value of this paper is in the specification and evaluation of a novel application of the constraint programming technique for online control of DG in thermally constrained distribution networks.
Original languageEnglish
Pages (from-to)798 - 805
Number of pages8
JournalIEEE Transactions on Smart Grid
Issue number2
Early online date8 Mar 2013
Publication statusPublished - Jun 2013


  • power flow management
  • distribution
  • substations
  • online optimal power flow technique
  • voltage control
  • generators
  • integrated circuit interconnections
  • load flow
  • real time systems
  • software


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