Adaptive constrained population extremal optimisation‐based robust proportional‐integral‐derivation frequency control method for an islanded microgrid Article Swipe
Kang‐Di Lu
,
Guo‐Qiang Zeng
,
Wuneng Zhou
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1049/csy2.12028
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1049/csy2.12028
The expected penetration of renewable sources is driving the islanded microgrid towards uncertainties, which have highly influence the reliability and complexities of frequency control. To alleviate the influence caused by load fluctuations and inherent variability of renewable sources, this article proposes an optimised robust proportional‐integral‐derivation (PID) frequency control method by taking full advantage of a robust control strategy while simultaneously maintaining the basic characteristics of a PID controller. During the process of iterated optimisation, a weighted objective function is used to balance the tracking error performance, robust stability and disturbance attenuation performance. Then, the robust PID frequency (RPIDF) controller is determined by an adaptive constrained population extremal optimisation algorithm based on self‐adaptive penalty constraint‐handling technique. The proposed control method is examined on a typical islanded microgrid, and the control performance is evaluated under various disturbances and parametric uncertainties. Finally, the simulation results indicate that the fitness value of the proposed method is 1.7872, which is lower than 2.9585 and 3.0887 obtained by two other evolutionary algorithms‐based RPIDF controllers. Moreover, the comprehensive simulation results fully demonstrate that the proposed method is superior to other comparison methods in terms of four performance indices on the most considered scenarios.
Related Topics
Concepts
Control theory (sociology)
Microgrid
PID controller
Parametric statistics
Robustness (evolution)
Mathematical optimization
Automatic frequency control
Population
Computer science
Controller (irrigation)
Piecewise
Mathematics
Engineering
Control engineering
Control (management)
Temperature control
Demography
Sociology
Telecommunications
Chemistry
Mathematical analysis
Gene
Statistics
Biochemistry
Agronomy
Artificial intelligence
Biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/csy2.12028
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/csy2.12028
- OA Status
- gold
- Cited By
- 19
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3196009230
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3196009230Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1049/csy2.12028Digital Object Identifier
- Title
-
Adaptive constrained population extremal optimisation‐based robust proportional‐integral‐derivation frequency control method for an islanded microgridWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-08-25Full publication date if available
- Authors
-
Kang‐Di Lu, Guo‐Qiang Zeng, Wuneng ZhouList of authors in order
- Landing page
-
https://doi.org/10.1049/csy2.12028Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/csy2.12028Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/csy2.12028Direct OA link when available
- Concepts
-
Control theory (sociology), Microgrid, PID controller, Parametric statistics, Robustness (evolution), Mathematical optimization, Automatic frequency control, Population, Computer science, Controller (irrigation), Piecewise, Mathematics, Engineering, Control engineering, Control (management), Temperature control, Demography, Sociology, Telecommunications, Chemistry, Mathematical analysis, Gene, Statistics, Biochemistry, Agronomy, Artificial intelligence, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
19Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 5, 2023: 6, 2022: 4Per-year citation counts (last 5 years)
- References (count)
-
41Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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