Small-signal modelling and stability analysis of island mode microgrid paralleled inverters

Bennia, Ilyas; Harrag, Abdelghani; Dailia, Yacine

doi:10.54966/jreen.v24i1.975

Cited by 4 publications

(1 citation statement)

References 12 publications

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“…Microgrids are faced with several technical challenges. Te need for accurate sharing of power among DG units [16] and the need for efective regulation of frequency and voltage [17] are among these challenges. A lack of inertia and damping is also seen in MGs, mainly because Synchronous Generators (SGs) are not present.…”

Section: Introductionmentioning

confidence: 99%

Stability and Reactive Power Sharing Enhancement in Islanded Microgrid via Small-Signal Modeling and Optimal Virtual Impedance Control

Bennia,

Daili,

Harrag

et al. 2024

International Transactions on Electrical Energy Systems

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In the context of integrating Renewable Energy Sources, Microgrid (MG) development is pivotal, particularly as a foundational technology for Smart-Grid evolution. Despite advancements in control techniques, challenges persist in ensuring system stability and accurate power sharing across diverse operational conditions and load types. The objective of this research is to control numerous paralleled inverters-based distributed generators (DGs) that contribute to power sharing in an island MG. The proposed methodology involves developing an innovative small-signal model for islanding MGs that incorporate virtual impedances. Subsequently, optimization algorithms based on Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are proposed and compared for designing the virtual impedances. These algorithms analyze all potential operating points, aiming to minimize reactive power mismatches while maximizing MG stability. The suggested objective function facilitates the simultaneous achievement of these objectives. The proposed approaches were tested using MATLAB-Simulink software, and the comparison of the results between conventional approach and the proposed optimal approaches shows significant improvement in terms of the dynamic response during load changes, such as a decrease in response time by up to 20%, a reduction in overshoot percentage by approximately 15%, and a settling time improvement of nearly 25%. These quantified improvements highlight the effectiveness of the GA and PSO methods in minimizing the reactive power-sharing error while optimizing MG performance and stability.

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Section: Introductionmentioning

confidence: 99%

Stability and Reactive Power Sharing Enhancement in Islanded Microgrid via Small-Signal Modeling and Optimal Virtual Impedance Control

Bennia,

Daili,

Harrag

et al. 2024

International Transactions on Electrical Energy Systems

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Adaptive Resonant Controller Based SOGI-FLL for Three-Phase Voltage Source Inverters

Bennia

Harrag

Daili

2022

2022 19th International Multi-Conference on Systems, Signals &Amp; Devices (SSD)

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Introducing a New Method for DPMU in Detecting the Type and Location of the Fault

Zand,

Nasab,

Padmanaban

et al. 2023

SWCC

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Introduction: Nowadays, due to the increasing development of distribution networks, their safety and high-reliability performance are of particular importance. One of the most important problems that endanger the security and reliability of these networks is the creation of some faults in them. In case of a fault in the network, identifying its location and type can be of great help in repairing faulty equipment. Also, by detecting the disconnection of one of the equipment or lines, it is possible to prevent accidents in the network. Method: Phasor Measurement Unit (PMU) has been widely and successfully used as Transmission-Phasor Measurement Unit (T-PMU). The reporting time of PMUs is much shorter than the old Supervisory Control and Data Acquisition (SCADA) systems. They can provide synchronized phasor measurements that can generate voltage phasors of different network nodes. This study aimed to investigate the various applications of phasor measurement units in distribution networks and present a new method for detecting and analyzing the location and type of fault and topology fault of the distribution network using the Internet of Things (IOT) analysis method. Result: To implement this method, it is necessary to measure different parameters of the distribution network before and after the occurrence of a fault, which is used by the DPMU for measurement. The simulation results indicate that for both single-topology and multi-topology faults, the proposed method has higher accuracy and better detection than the remaining common methods and effectively detects single-topology and multi-topology faults in the distribution network. Conclusion: This method can provide a more accurate network topology to estimate the state of the distribution network, which improves the accuracy of the state estimation and is suitable for implementing various advanced functions of the distribution management system.

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Small-signal modelling and stability analysis of island mode microgrid paralleled inverters

Cited by 4 publications

References 12 publications

Stability and Reactive Power Sharing Enhancement in Islanded Microgrid via Small-Signal Modeling and Optimal Virtual Impedance Control

Stability and Reactive Power Sharing Enhancement in Islanded Microgrid via Small-Signal Modeling and Optimal Virtual Impedance Control

Adaptive Resonant Controller Based SOGI-FLL for Three-Phase Voltage Source Inverters

Introducing a New Method for DPMU in Detecting the Type and Location of the Fault

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