Power Sharing Control of Islanded AC Microgrid Considering Droop Control and Virtual Impedance

Villalon, Ariel; Muñoz, Carlos; Aliaga, Rodrigo; Muñoz, Javier; Rivera, Marco; Zanchetta, Pericle

doi:10.1109/icit45562.2020.9067231

Cited by 13 publications

(11 citation statements)

References 18 publications

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“…The deadbeat predictive principle applied in [63] tries to find the predicted values at the next sampling instant (k + 1), these values being the generator torque and direct current component, which are equal to Equation (25).…”

Section: Primary Control Of Hybrid Microgridsmentioning

confidence: 99%

“…Several control techniques are focused on eliminating these circulating currents by power-sharing among power converters and considering differences in the line impedances [22][23][24]. Other techniques are developed to overcome these issues for microgrids' control like the inclusion of virtual impedances that are added to modify the voltage reference that comes from the droop control in primary control [25]. Droop control delivers the voltage reference for inner controllers as the inner current and outer voltage feedback loop control.…”

Section: Introductionmentioning

confidence: 99%

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Predictive Control for Microgrid Applications: A Review Study

et al. 2020

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Microgrids need control and management at different levels to allow the inclusion of renewable energy sources. In this paper, a comprehensive literature review is presented to analyse the latest trends in research and development referring to the applications of predictive control in microgrids. As a result of this review, it was found that the application of predictive control techniques on microgrids is performed for the three control levels and with adaptations of the models in order to include uncertainties to improve their performance and dynamics response. In addition, to ensure system stability, but also, at higher control levels, coordinated operation among the microgrid’s components and synchronised and optimised operation with utility grids and electric power markets. Predictive control appears as a very promising control scheme with several advantages for microgrid applications of different control levels.

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Section: Primary Control Of Hybrid Microgridsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predictive Control for Microgrid Applications: A Review Study

et al. 2020

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“…Power frequency (P-ω) droop curves are shown in Figure 2. In VSI model, the magnitude of frequency and voltage is regulated through P-ω droop control in islanded microgrids [24,25]. Given the below (1) and (2) shows the relation between power and frequency.…”

Section: Conventional Droop Controlmentioning

confidence: 99%

Multiloop low bandwidth communication-based power sharing control for microgrids

Pathan

Bakar

Khan

et al. 2020

IJEECS

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<span>In parallel-connected inverter-based microgrids, the reactive power sharing accuracy can not have satisfactory results effortlessly. Mismatch in feeder impedances of the parallel-connected inverter-based microgrids is a significant cause of inaccurate reactive power-sharing. In voltage source inverters (VSI) based microgrids, especially for the islanded mode of operation, the conventional centralized or decentralized control techniques are not much helpful to control the voltage deviations due to impedance mismatch. Mismatch of the feeder impedance is compensated by the addition of fixed virtual impedance. Whereas, the change in the virtual impedance is compensated by adaptive virtual impedance-based control techniques which are helpful to mitigate power-sharing errors, but in most of the control schemes virtual impedance-based control mechanism needs pre-knowledge of feeder impedance which increases the computational burden. This paper presents a decentralized virtual impedance-based power sharing control. In the proposed control solution to mitigate reactive power sharing errors in distributed generation (DG) units, mismatch of the parallel-connected feeder impedance is equalized by regulating the addition of equivalent impedance to each DG inverter. Proposed control technique offers an independent implementation without any pre-knowledge of the feeder impedance. Hence, the implementation of the control scheme is a straightforward and computational burden is also reduced. Simulation results show the effectiveness of the control scheme. </span>

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“…These novel types of power systems allow for improved reliability and resilience, compared to individual energy sources, by embedding multiple DERs [ 3 , 4 , 5 ]. One paramount characteristic of microgrids is their ability to work in both grid-connected and islanded modes [ 6 , 7 , 8 ]. It is in islanded mode that, to ensure a stable and profitable microgrid operation, the real and reactive powers of DERs should be proportionally shared by their respective power ratings [ 4 , 7 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

“…One paramount characteristic of microgrids is their ability to work in both grid-connected and islanded modes [ 6 , 7 , 8 ]. It is in islanded mode that, to ensure a stable and profitable microgrid operation, the real and reactive powers of DERs should be proportionally shared by their respective power ratings [ 4 , 7 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

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

Villalon

Muñoz

et al. 2023

Sensors

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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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Power Sharing Control of Islanded AC Microgrid Considering Droop Control and Virtual Impedance

Cited by 13 publications

References 18 publications

Predictive Control for Microgrid Applications: A Review Study

Predictive Control for Microgrid Applications: A Review Study

Multiloop low bandwidth communication-based power sharing control for microgrids

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

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