Fixed-Switching-Frequency Modulated Model Predictive Control for Islanded AC Microgrid Applications

Villalon, Ariel; Muñoz, Carlos; Muñoz, Javier; Rivera, Marco

doi:10.3390/math11030672

Cited by 3 publications

(24 citation statements)

References 52 publications

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“…This results in improved efficiency and reduced switching losses. However, FCS-MPC implementation can be more complex than CCS-MPC, as an optimization problem must be solved at every sampling time [29].…”

Section: Output Voltage Regulationmentioning

confidence: 99%

Finite Control Set MPC for Voltage and Frequency Stabilization in Islanded AC Microgrids with Line Impedance Consideration and Enhanced Power Sharing Control

Grairia,

Toufouti

2023

JESA

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This paper presents a hierarchical wireless control scheme for parallel distributed generation (DG) units in islanded AC microgrids. The proposed control scheme is divided into primary and secondary control layers. The primary control layer includes an improved finite set-model predictive control (FS-MPC) with a dualobjective cost function based on the proposed droop approach. The benefit of the proposed droop approach is the ability to generate the reference voltage without any amplitude deviation, unlike the conventional droop technique, which may cause deviations. Furthermore, double virtual impedances are proposed, with the first one being used to reduce the effects of feeders' mismatched impedance, while the second one is used to increase the output impedance resistance, leading to enhanced accuracy of active and reactive power sharing among DG units. The secondary control layer helps to establish global controllability by keeping the frequency and amplitude voltage of the AC bus at their nominal values. The simulation results show that the proposed control is capable of ensuring appropriate power sharing among parallel DG units and achieving voltage quality at the AC bus under different load conditions.

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Section: Output Voltage Regulationmentioning

confidence: 99%

Finite Control Set MPC for Voltage and Frequency Stabilization in Islanded AC Microgrids with Line Impedance Consideration and Enhanced Power Sharing Control

Grairia,

Toufouti

2023

JESA

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“…In order to model the behaviour of the

filter, the model was developed according to the details provided in Section 2 of [ 34 ]: system description. The discrete model of the

filter is shown as follows:

with

as the present time,

as the next sampling time, and x as the state vector

.…”

Section: Experimental System Descriptionmentioning

confidence: 99%

“…The discrete model of the

filter is shown as follows:

with

as the present time,

as the next sampling time, and x as the state vector

. Taking into account that the sampling period was

, the discrete matrices

, and

were explained as [ 33 , 34 , 36 ]:

and

with

, and

as the continuous matrices of the state space model in continuous time of the

filter, developed in previous work published in [ 34 ].…”

Section: Experimental System Descriptionmentioning

confidence: 99%

“…The details of this M

PC scheme shown in Figure 9 were widely developed and explained in the previous published work by the same authors in [ 34 ].…”

Section: Implementation Of the Controllermentioning

confidence: 99%

“…The VSI operates with

filters, and shares an

load with another VSI with exactly the same controller. Here, it is important to mention that this work provides details of the implementation of previous published work by the same authors in [ 34 ], where comparisons with other works of simulated and experimental results were widely addressed.…”

Section: Introductionmentioning

confidence: 99%

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A Detailed dSPACE-Based Implementation of Modulated Model Predictive Control for AC Microgrids

Villalon

Muñoz

et al. 2023

Sensors

Self Cite

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Microgrids represent a promising energy technology, because of the inclusion in them of clean and smart energy technologies. They also represent research challenges, including controllability, stability, and implementation. This article presents a dSPACE-control-platform-based implementation of a fixed-switching-frequency modulated model predictive control (M2PC) strategy, as an inner controller of a two-level, three-phase voltage source inverter (VSI) working in an islanded AC microgrid. The developed controller is hierarchical, as it includes a primary controller to share the load equally with the other power converter with its own local modulated predictive-based controller. All details of the implementation are given for establishing the dSPACE-based implementation of the control on a dSPACE ds1103 control platform, using MATLAB/Simulink for the controller design, I/O implementation and configuration with the embedded dSPACE’s real-time interface in Simulink, and then using the ControlDesk software for monitoring and testing of the real plant. The latter consists of the VSI operating with LCL filters, and sharing an RL load with a paralleled VSI with exactly the same controller. Finally, the obtained experimental waveforms are shown, with our respective conclusions representing this work, which is a very valuable tool for helping microgrid researchers implement dSPACE-based real-time simulations.

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Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A Review

Moreno-Castro,

Ocaña Guevara,

León Viltre

et al. 2023

Energies

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In recent years, microgrid (MG) deployment has significantly increased, utilizing various technologies. MGs are essential for integrating distributed generation into electric power systems. These systems’ economic dispatch (ED) aims to minimize generation costs within a specific time interval while meeting power generation constraints. By employing ED in electric MGs, the utilization of distributed energy resources becomes more flexible, enhancing energy system efficiency. Additionally, it enables the anticipation and proper utilization of operational limitations and encourages the active involvement of prosumers in the electricity market. However, implementing controllers and algorithms for optimizing ED requires the independent handling of constraints. Numerous algorithms and solutions have been proposed for the ED of MGs. These contributions suggest utilizing techniques such as particle swarm optimization (PSO), mixed-integer linear programming (MILP), CPLEX, and MATLAB. This paper presents an investigation of the use of model predictive control (MPC) as an optimal management tool for MGs. MPC has proven effective in ED by allowing the prediction of environmental or dynamic models within the system. This study aims to review MGs’ management strategies, specifically focusing on MPC techniques. It analyzes how MPC has been applied to optimize ED while considering MGs’ unique characteristics and requirements. This review aims to enhance the understanding of MPC’s role in efficient MG management, guiding future research and applications in this field.

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Fixed-Switching-Frequency Modulated Model Predictive Control for Islanded AC Microgrid Applications

Cited by 3 publications

References 52 publications

Finite Control Set MPC for Voltage and Frequency Stabilization in Islanded AC Microgrids with Line Impedance Consideration and Enhanced Power Sharing Control

Finite Control Set MPC for Voltage and Frequency Stabilization in Islanded AC Microgrids with Line Impedance Consideration and Enhanced Power Sharing Control

A Detailed dSPACE-Based Implementation of Modulated Model Predictive Control for AC Microgrids

Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A Review

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