Journal
IEEE TRANSACTIONS ON POWER ELECTRONICS
Volume 33, Issue 11, Pages 9122-9126Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2018.2822314
Keywords
DC-AC; DC-DC; droop control; energy storage system; microgrid; model predictive control (MPC); real-time laboratory (RT-LAB)
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Funding
- Hong Kong Research Grants Council [PolyU252040/17E]
- Hong Kong Polytechnic University [1-ZE7J]
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This letter presents a novel model predictive control strategy without involving any proportional-integral-differential regulators for practical renewable energy based ac microgrids. The proposed method consists of a model predictive power control (MPPC) scheme and a model predictive voltage control (MPVC) scheme. By controlling the bidirectional buck-boost converters of the battery energy storage systems based on the MPPC algorithm, the fluctuating output from the renewable energy sources can be smoothed, while stable dc-bus voltages can be maintained as the inverters' inputs. Then, the parallel inverters are controlled by using a combination of the MPVC scheme and the droop method to ensure stable ac voltage output and proper power sharing. Compared with the traditional cascade control, the proposed method is simpler and shows better performance, which is validated in simulation on MATLAB/Simulink and on real-time laboratory platform.
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