Controller Coordination Strategy for DC Microgrid Using Distributed Predictive Control Improving Voltage Stability

Marvin Lema; Wilson Pavon; Leony Ortiz; Ama Baduba Asiedu-Asante; Silvio Simani

doi:10.3390/en15155442

Controller Coordination Strategy for DC Microgrid Using Distributed Predictive Control Improving Voltage Stability

Marvin Lema, Wilson Pavon, Leony Ortiz, Ama Baduba Asiedu-Asante, Silvio Simani

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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.

Original language	English
Article number	5442
Journal	Energies
Volume	15
Issue number	15
DOIs	https://doi.org/10.3390/en15155442
State	Published - Aug 2022

Bibliographical note

Funding Information:
This research was funded by Universidad Politécnica Salesiana-Ecuador.

Publisher Copyright:
© 2022 by the authors.

Keywords

converter
DC
distributed generation
hierarchical
microgrid
MPC
predictive control
robust control
smart grid

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

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title = "Controller Coordination Strategy for DC Microgrid Using Distributed Predictive Control Improving Voltage Stability",

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 = "converter, DC, distributed generation, hierarchical, microgrid, MPC, predictive control, robust control, smart grid",

author = "Marvin Lema and Wilson Pavon and Leony Ortiz and Asiedu-Asante, {Ama Baduba} and Silvio Simani",

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AU - Simani, Silvio

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N2 - 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.

AB - 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.

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KW - predictive control

KW - robust control

KW - smart grid

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Controller Coordination Strategy for DC Microgrid Using Distributed Predictive Control Improving Voltage Stability

Abstract

Bibliographical note

Keywords

UN SDGs

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