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Droop Control for DC Multi-Microgrids Based on Local Adaptive Fuzzy Approach and Global Power Allocation Correction | IEEE Journals & Magazine | IEEE Xplore

Droop Control for DC Multi-Microgrids Based on Local Adaptive Fuzzy Approach and Global Power Allocation Correction

Publisher: IEEE

Abstract:

A new droop control strategy is proposed for dc multi-microgrids including constant power load (CPL) and resistance load. The droop control is designed by taking advantag...View more

Abstract:

A new droop control strategy is proposed for dc multi-microgrids including constant power load (CPL) and resistance load. The droop control is designed by taking advantage of local adaptive fuzzy approach and global power allocation correction (GPAC). The local adaptive fuzzy droop control based on the CPL compensator with disturbance observer (DO) is designed for distributed generations in individual dc microgrid, which can eliminate the effect of line resistance, CPL and other large-signal disturbances. The CPL compensator can automatically generate a reference voltage compensation signal for converter inner ring control by the CPL DO. The adaptive fuzzy inference system can dynamically regulate the droop coefficient, increase the accuracy of power allocation, and enhance the system stability margin. The GPAC is constructed for an individual dc microgrid to restore voltage sag caused by the droop coefficient and achieve global power allocation among dc multi-microgrids, which is implemented by a normalized method. Furthermore, the power exchange control law is designed for GPAC, which can avoid unnecessary global operation. By using sparse communication, the proposed strategy can ensure the power allocation accuracy and reduce the complexity of the control system. The simulation results of MATLAB/Simulink platform and the experimental results of RTDS show the effectiveness of the proposed strategy.
Published in: IEEE Transactions on Smart Grid ( Volume: 10, Issue: 5, September 2019)
Page(s): 5468 - 5478
Date of Publication: 30 November 2018

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Publisher: IEEE

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