PROJECT TITLE :
Intelligent Power Sharing of DC Isolated Microgrid Primarily based on Fuzzy Sliding Mode Droop Management
Linear droop control will realize power sharing among generators in DC microgrid while not relying on important communication links. However, the droop relationship between output power and voltage magnitude of renewable power generate system is nonlinear with uncertainties and disturbances from renewable sources and hundreds in sensible DC microgrid. A novel droop scheme is proposed for an isolated DC microgrid to unravel the nonlinear problem. The management strategy is proposed by using the Takagi-Sugeno (T-S) fuzzy model and sliding mode algorithm. The nonlinear droop characteristics can be represented by T-S model through making the most of locally measured output variables. The sliding mode droop controller is designed for compensating the uncertainties and disturbances to derive accurate power sharing based on T-S fuzzy model. The proposed scheme is proved to be effective underneath variable operating conditions through PSIM/Matlab simulation.
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