Modelling and Stability Analysis of Dynamic Droop Controlled Microgrid based on Dynamic phasor

The most widely adapted technique for managing the parallel-operated inverters in microgrid applications is droop control. It is a plug-and-play control that doesn't need any kind of communication equipment. Nevertheless, in its traditional form, the droop controller's transient performance is subpar. Therefore, to offset this disadvantage, dynamic droop gains are included in addition to conventional droop. It will enhance system stability and function as a proportional derivative controller. This work develops a stability analysis and dynamic phasor-based modelling for a dynamic droop controlled microgrid system. By setting an appropriate control objective, particle swarm optimization is used to optimize the controller parameters. The characteristic equation is developed for both dynamic and conventional microgrid systems with droop control. The corresponding impulse response is plotted which will allows for the performance evaluation of the dynamic droop regulated microgrid systems. The improvement in stability depending on the eigenvalue location is demonstrated by the simulation results. Furthermore, there is a noticeable enhancement in both peak overshot and settling time performance.

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Published
2024-09-20
DOI
https://doi.org/10.1109/spices62143.2024.10779873
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Modelling and Stability Analysis of Dynamic Droop Controlled Microgrid based on Dynamic phasor

Suresh Suresh, Binu Krishnan U, Ramkishorekumar Reddy P, Hemachandra Reddy K et al.
Microgrid Control and Optimization
article

Modelling and Stability Analysis of Dynamic Droop Controlled Microgrid based on Dynamic phasor

Suresh Suresh, Binu Krishnan U, Ramkishorekumar Reddy P, Hemachandra Reddy K, Balagopal Reddy G, Puspha Raj H
article en

Abstract

The most widely adapted technique for managing the parallel-operated inverters in microgrid applications is droop control. It is a plug-and-play control that doesn't need any kind of communication equipment. Nevertheless, in its traditional form, the droop controller's transient performance is subpar. Therefore, to offset this disadvantage, dynamic droop gains are included in addition to conventional droop. It will enhance system stability and function as a proportional derivative controller. This work develops a stability analysis and dynamic phasor-based modelling for a dynamic droop controlled microgrid system. By setting an appropriate control objective, particle swarm optimization is used to optimize the controller parameters. The characteristic equation is developed for both dynamic and conventional microgrid systems with droop control. The corresponding impulse response is plotted which will allows for the performance evaluation of the dynamic droop regulated microgrid systems. The improvement in stability depending on the eigenvalue location is demonstrated by the simulation results. Furthermore, there is a noticeable enhancement in both peak overshot and settling time performance.

Jain University (IN), Global Academy of Technology
Affordable and clean energy
Openalex Percentile: Top 73%
Microgrid Control and Optimization
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Modelling and Stability Analysis of Dynamic Droop Controlled Microgrid based on Dynamic phasor — Suresh Suresh, Binu Krishnan U, et al. · (2024) | TGRS Research Map | TGRS