A Model Predictive Control for Renewable Energy Based AC Microgrids Without Any PID Regulators

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...

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Vydáno v:IEEE transactions on power electronics Ročník 33; číslo 11; s. 9122 - 9126
Hlavní autoři: Yinghao Shan, Jiefeng Hu, Zilin Li, Guerrero, Josep M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.11.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Alternative energy sources
Batteries
Capacitors
Cascade control
Computer simulation
Converters
Data buses
DC–AC
DC–DC
droop control
Electric potential
Electric power grids
Energy storage
energy storage system
Inverters
Mathematical models
microgrid
Microgrids
model predictive control (MPC)
Power control
Predictive control
Predictive models
real-time laboratory (RT-LAB)
Regulators
Renewable energy sources
Renewable resources
Storage systems
Variation
Voltage control
ISSN:0885-8993, 1941-0107
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Shrnutí: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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ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2018.2822314