Risk-constrained microgrid reconfiguration using group sparsity

Emiliano Dall'Anese, Georgios B. Giannakis

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

The system reconfiguration task is considered for existing power distribution systems and microgrids, in the presence of renewable-based generation and load foresting errors. The system topology is obtained by solving a chance-constrained optimization problem, where loss-of-load (LOL) constraints and ampacity limits of the distribution lines are enforced. Similar to various distribution system reconfiguration renditions, solving the resultant problem is computationally prohibitive due to the presence of binary line selection variables. Further, lack of closed-form expressions for the joint probability distribution of forecasting errors hinders tractability of LOL constraints. Nevertheless, a convex problem reformulation is developed here by resorting to a scenario approximation technique, and by leveraging the underlying group-sparsity attribute of currents flowing on distribution lines equipped with tie and sectionalizing switches. The novel convex LOL-constrained reconfiguration scheme can also afford a distributed solution using the alternating direction method of multipliers, to address the case where multifacilities are managed autonomously from the rest of the system.

Original languageEnglish (US)
Article number6840363
Pages (from-to)1415-1425
Number of pages11
JournalIEEE Transactions on Sustainable Energy
Volume5
Issue number4
DOIs
StatePublished - Oct 1 2014

Keywords

  • Convex programming
  • distribution system
  • loss of load (LOL)
  • microgrid
  • sparsity
  • system reconfiguration

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