Small-signal stability and load-sharing improvement of autonomous microgrids using auxiliary loop

P. Hasanpor Divshali, S. H. Hosseinian, M. Abedi, A. Alimardani

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)

Abstract

In this article, the problem of appropriate active load sharing, frequency regulation, and adequate damping in an autonomous voltage source converter based microgrid, which has a decentralized controller, is investigated. In decentralized autonomous voltage source converter based microgrids, proper load sharing needs a high gain frequency droop. However, this high gain has a negative impact on small-signal stability and frequency regulation. In order to eliminate this drawback, an auxiliary loop around the frequency droop method is proposed to increase oscillation damping and to decrease frequency deviation. Tuning of this auxiliary loop for each micro-source is formulated as an off-line fuzzy multi-objective optimization problem, which is solved using an evolutionary algorithm. The simulation results based on frequency-domain modeling and eigenvalue analysis show the oscillation damping improvement, frequency deviation reduction, and active power-sharing accuracy of the microgrid in the proposed methodology for wide range of operation conditions.

Original languageEnglish
Pages (from-to)648-671
Number of pages24
JournalElectric Power Components and Systems
Volume40
Issue number6
DOIs
Publication statusPublished - 29 Mar 2012
MoE publication typeA1 Journal article-refereed

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Damping
Electric potential
Multiobjective optimization
Evolutionary algorithms
Tuning
Controllers

Keywords

  • Autonomous microgrid
  • Distributed generation
  • Frequency deviation
  • Frequency/voltage droop
  • Load sharing
  • Small-signal stability
  • Voltage source converter

Cite this

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title = "Small-signal stability and load-sharing improvement of autonomous microgrids using auxiliary loop",
abstract = "In this article, the problem of appropriate active load sharing, frequency regulation, and adequate damping in an autonomous voltage source converter based microgrid, which has a decentralized controller, is investigated. In decentralized autonomous voltage source converter based microgrids, proper load sharing needs a high gain frequency droop. However, this high gain has a negative impact on small-signal stability and frequency regulation. In order to eliminate this drawback, an auxiliary loop around the frequency droop method is proposed to increase oscillation damping and to decrease frequency deviation. Tuning of this auxiliary loop for each micro-source is formulated as an off-line fuzzy multi-objective optimization problem, which is solved using an evolutionary algorithm. The simulation results based on frequency-domain modeling and eigenvalue analysis show the oscillation damping improvement, frequency deviation reduction, and active power-sharing accuracy of the microgrid in the proposed methodology for wide range of operation conditions.",
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Small-signal stability and load-sharing improvement of autonomous microgrids using auxiliary loop. / Hasanpor Divshali, P.; Hosseinian, S. H.; Abedi, M.; Alimardani, A.

In: Electric Power Components and Systems, Vol. 40, No. 6, 29.03.2012, p. 648-671.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Hasanpor Divshali, P.

AU - Hosseinian, S. H.

AU - Abedi, M.

AU - Alimardani, A.

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AB - In this article, the problem of appropriate active load sharing, frequency regulation, and adequate damping in an autonomous voltage source converter based microgrid, which has a decentralized controller, is investigated. In decentralized autonomous voltage source converter based microgrids, proper load sharing needs a high gain frequency droop. However, this high gain has a negative impact on small-signal stability and frequency regulation. In order to eliminate this drawback, an auxiliary loop around the frequency droop method is proposed to increase oscillation damping and to decrease frequency deviation. Tuning of this auxiliary loop for each micro-source is formulated as an off-line fuzzy multi-objective optimization problem, which is solved using an evolutionary algorithm. The simulation results based on frequency-domain modeling and eigenvalue analysis show the oscillation damping improvement, frequency deviation reduction, and active power-sharing accuracy of the microgrid in the proposed methodology for wide range of operation conditions.

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