Optimum Reconfiguration of Droop-Controlled Islanded Microgrids

Morad Mohamed Abdelmageed Abdelaziz, Hany E. Farag, Ehab F. El-Saadany

Research output: Contribution to journalArticlepeer-review

86 Scopus citations


This paper proposes a new formulation for the optimum reconfiguration of islanded microgrid (IMG) systems. The reconfiguration problem is casted as a multi-objective optimization problem, in order to: 1) minimize the IMG fuel consumption in the operational planning horizon for which islanded operation is planned; 2) ensure the IMG capability to feed the maximum possible demand by enhancing its voltage instability proximity index taken over all the states at which the islanded system may reside; and 3) minimize the relevant switching operation costs. The proposed problem formulation takes into consideration the system's operational constraints in all operating conditions based on the consideration of the uncertainty associated with renewable resources output power and load variability. Moreover, the proposed formulation accounts for droop controlled IMG special operational characteristics as well as the availability/unavailability of a supervisory microgrid central controller (MGCC). The formulated problem is solved using non-dominated sorting genetic algorithm II (NSGA-II). MATLAB environment has been used to test and validate the proposed problem formulation. The results show that the implementation of appropriate IMG reconfiguration problem formulations will enhance the performance of IMG systems and facilitate a successful integration of the microgrid concept in distribution networks.

Original languageBritish English
Article number7177140
Pages (from-to)2144-2153
Number of pages10
JournalIEEE Transactions on Power Systems
Issue number3
StatePublished - May 2016


  • Distributed generation
  • distribution network reconfiguration
  • droop control
  • islanded microgrids
  • Renewable energy resources


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