Abstract
This study presents a method for determining optimal droop settings of dispatchable distributed generation units in a droop-controlled microgrid (DCMG). The objectives are to (i) minimise the operational cost and (ii) minimise the emission in the DCMG while meeting all the operational constraints. The proposed formulation takes into account the electricity demand, load uncertainties and renewable power uncertainties in the MG. Load and renewable power uncertainties are modelled by Hong's point estimate method. The bi-objective optimisation problem is solved using fuzzified particle swarm optimisation. The proposed method is validated on a 6-bus DCMG test system. The results show the effectiveness of the proposed method.
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