Abstract
Droop control technique is one of the most commonly used techniques in DC microgrid (MG) to attain proportional load sharing and voltage regulation. Due to the presence of impedance in the transmission line, there are some current sharing errors and voltage deviations across the DC bus. Therefore, loading conditions (LCs) and location of sources in MG have significant effect on current-sharing and voltage regulation. In the present work, droop parameters such as rated voltage and virtual resistance of ith distributed generation (DG) in a MG network are optimized by using optimization procedure by considering all necessary information in order to minimize the impact of line impedances. During the optimization, constraints such as voltage deviations and current sharing errors should be less than five percent of rated voltage and two percent of rated current respectively. By taking combination of voltage regulation and current sharing error, a cost function is formulated. By using load stochastic model, impact of various LCs on the cost functions are weighted. Optimization tool called as Teaching Learning Based Optimization (TLBO) is then implemented to find out the optimized solution. The proposed algorithm has been illustrated on a low voltage DC MG which comprises of three sources and two loads. Simulation results show effectiveness of proposed method over conventional droop control method in terms of reduced current sharing error and voltage deviations across DC bus.
Published Version
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