PROJECT TITLE :
Tertiary and Secondary Control Levels for Efficiency Optimization and System Damping in Droop Controlled DC–DC Converters
Droop control by means that of virtual resistance (VR) management loops can be applied to paralleled dc–dc converters for achieving autonomous equal power sharing. However, equal power sharing will not guarantee an efficient operation of the whole system. So as to attain higher efficiency and lower energy losses, this paper proposes a tertiary control level together with an optimization method for achieving efficient operation. Because the efficiency of each converter changes with the output power, VR values are set as decision variables for modifying the ability sharing ratio among converters. A genetic algorithm is used in looking for a international potency optimum. Additionally, a secondary control level is added to manage the output voltage drooped by the VRs. But, system dynamics is affected when shifting up/down the VR references. So, a secondary control for system damping is proposed and applied for maintaining system stability. Hardware-in-the-loop simulations are conducted to validate the effectiveness of this methodology. The results show that the system efficiency is improved by using tertiary optimization management and the required transient response is ensured with system damping secondary management.
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