View in EDS HTML Full Text PDF Full Text

Power Quality Improvement Strategy Based on Grid-Forming Control and Consensus Algorithm.

Saved in:
Bibliographic Details
Title: Power Quality Improvement Strategy Based on Grid-Forming Control and Consensus Algorithm.
Authors: Zhang, Shifeng1 (AUTHOR), Zhang, Min1 (AUTHOR), Yao, Hongmin1 (AUTHOR) yaohongmin0824@163.com, Fan, Rui1 (AUTHOR)
Source: Energies (19961073). Jun2026, Vol. 19 Issue 12, p2890. 17p.
Subject Terms: *Distributed algorithms, *Voltage control, *Power quality disturbances, *Distributed power generation, *Microgrids, *Synchronization
Abstract: With the integration of high-penetration distributed renewable energy sources and grid-forming inverters, AC microgrids face significant challenges in maintaining autonomous voltage and frequency stability. While traditional droop control can achieve autonomous power allocation, it introduces inherent steady-state deviations when load change. To address this, this paper proposes a distributed secondary control strategy for AC microgrids based on a consensus algorithm, aiming to achieve high-precision coordinated correction of voltage and frequency and improve power quality. In the proposed strategy, each grid-forming inverter autonomously generates dynamic secondary compensation signals based solely on local measurements and limited information exchange with neighboring nodes, eliminating the need for a central controller and enhancing robustness, scalability, and fault tolerance. Stability is proven via Lyapunov function construction. Simulation results show that the strategy effectively eliminates steady-state errors, with frequency deviations within ±0.01 Hz and voltage deviations below 0.5% of the rated value. Rapid and precise regulation is achieved under various load disturbances and network conditions, validating its effectiveness and application potential. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: enr
DbLabel: Energy & Power Source
An: 194909339
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Power Quality Improvement Strategy Based on Grid-Forming Control and Consensus Algorithm.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Shifeng%22">Zhang, Shifeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Min%22">Zhang, Min</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yao%2C+Hongmin%22">Yao, Hongmin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yaohongmin0824@163.com</i><br /><searchLink fieldCode="AR" term="%22Fan%2C+Rui%22">Fan, Rui</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2026, Vol. 19 Issue 12, p2890. 17p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Distributed+algorithms%22">Distributed algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Voltage+control%22">Voltage control</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+quality+disturbances%22">Power quality disturbances</searchLink><br />*<searchLink fieldCode="DE" term="%22Distributed+power+generation%22">Distributed power generation</searchLink><br />*<searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink><br />*<searchLink fieldCode="DE" term="%22Synchronization%22">Synchronization</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With the integration of high-penetration distributed renewable energy sources and grid-forming inverters, AC microgrids face significant challenges in maintaining autonomous voltage and frequency stability. While traditional droop control can achieve autonomous power allocation, it introduces inherent steady-state deviations when load change. To address this, this paper proposes a distributed secondary control strategy for AC microgrids based on a consensus algorithm, aiming to achieve high-precision coordinated correction of voltage and frequency and improve power quality. In the proposed strategy, each grid-forming inverter autonomously generates dynamic secondary compensation signals based solely on local measurements and limited information exchange with neighboring nodes, eliminating the need for a central controller and enhancing robustness, scalability, and fault tolerance. Stability is proven via Lyapunov function construction. Simulation results show that the strategy effectively eliminates steady-state errors, with frequency deviations within ±0.01 Hz and voltage deviations below 0.5% of the rated value. Rapid and precise regulation is achieved under various load disturbances and network conditions, validating its effectiveness and application potential. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194909339
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19122890
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 2890
    Subjects:
      – SubjectFull: Distributed algorithms
        Type: general
      – SubjectFull: Voltage control
        Type: general
      – SubjectFull: Power quality disturbances
        Type: general
      – SubjectFull: Distributed power generation
        Type: general
      – SubjectFull: Microgrids
        Type: general
      – SubjectFull: Synchronization
        Type: general
    Titles:
      – TitleFull: Power Quality Improvement Strategy Based on Grid-Forming Control and Consensus Algorithm.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhang, Shifeng
      – PersonEntity:
          Name:
            NameFull: Zhang, Min
      – PersonEntity:
          Name:
            NameFull: Yao, Hongmin
      – PersonEntity:
          Name:
            NameFull: Fan, Rui
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961073
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Energies (19961073)
              Type: main
ResultId 1