PROJECT TITLE :

Optimum Reconfiguration of Droop-Controlled Islanded Microgrids

ABSTRACT:

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