Controller Coordination Strategy for DC Microgrid Using Distributed Predictive Control Improving Voltage Stability
Marvin Lema,
Wilson Pavon,
Leony Ortiz,
Ama Baduba Asiedu-Asante and
Silvio Simani
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Marvin Lema: Engineering Department, Universidad Politécnica Salesiana, Quito EC170146, Ecuador
Wilson Pavon: Engineering Department, Universidad Politécnica Salesiana, Quito EC170146, Ecuador
Leony Ortiz: Engineering Department, Universidad Politécnica Salesiana, Quito EC170146, Ecuador
Ama Baduba Asiedu-Asante: School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Silvio Simani: Engineering Department, Università degli Studi di Ferrara, 050031 Ferrara, Italy
Energies, 2022, vol. 15, issue 15, 1-15
Abstract:
The paper presents the design and control strategy of an isolated DC microgrid, which is based on classical control techniques, predictive control and iterative algorithms. The design control parameters are maximum overshoot, settling time and voltage ripple. The strategy is designed to operate in two different modes, end-users minimum and maximum demand scenarios, and this is achieved through the incorporation of network dynamic loads. The control methodology developed allows to obtain a fast response of the design set points, and an efficient control for disturbance rejection. The simulation results obtained satisfy the proposed design guidelines by obtaining a maximum overshoot of 4.8%, settling time of 0.012 seconds and a voltage ripple of 0.1 percentage. The implemented system simulation was developed in Matlab-Simulink software.
Keywords: predictive control; robust control; microgrid; smart grid; hierarchical; distributed generation; DC; converter; MPC (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:15:p:5442-:d:873234
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