Design of an intelligent damping controller of statcom with hvdc for large offshore wind farm

Kai Hung Lu; Hsin Chuan Chen; Yu Su; Qiangqiang Xu

doi:10.6119/JMST.2018.04_(2).0010

Design of an intelligent damping controller of statcom with hvdc for large offshore wind farm

Kai Hung Lu, Hsin Chuan Chen, Yu Su, Qiangqiang Xu^*

^*Corresponding author for this work

School of Aerospace Engineering

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

This paper proposes the design of an Intelligent Damping Controller (IDC) for a Static Synchronous Compensator (STATCOM), linking to a high voltage direct current (HVDC) transmission line, where a permanent magnet synchronous generator (PMSG)based offshore wind farm (OWF) is connected. This IDC consists of a critic network with the proposed Functional Link based Recurrent Fuzzy Neural Network (FLRFNN) and Genetic Algorithm Hybrid Time Varying Particle Swarm Optimization (GAHTVPSO) algorithm. A single-machine infinite-bus and a multi-machine hybrid power system were used for test the system stability. GAHTVPSO approach is developed to adjust the learning rates to improve the learning capability. Analysis of the performance shows that it can achieve better damping characteristics.

Original language	English
Pages (from-to)	228-239
Number of pages	12
Journal	Journal of Marine Science and Technology (Taiwan)
Volume	26
Issue number	2
DOIs	https://doi.org/10.6119/JMST.2018.04_(2).0010
Publication status	Published - 2018

Keywords

Functional link-based recurrent fuzzy neural network (FLRFNN)
Genetic algorithm hybrid time varying particle swarm optimization (GAHTVPSO)
Intelligent damping controller (IDC)
Offshore wind farm (OWF)

Access to Document

10.6119/JMST.2018.04_(2).0010

Cite this

@article{09ec60791250437b9fc53a1a08c2a5e9,

title = "Design of an intelligent damping controller of statcom with hvdc for large offshore wind farm",

abstract = "This paper proposes the design of an Intelligent Damping Controller (IDC) for a Static Synchronous Compensator (STATCOM), linking to a high voltage direct current (HVDC) transmission line, where a permanent magnet synchronous generator (PMSG)based offshore wind farm (OWF) is connected. This IDC consists of a critic network with the proposed Functional Link based Recurrent Fuzzy Neural Network (FLRFNN) and Genetic Algorithm Hybrid Time Varying Particle Swarm Optimization (GAHTVPSO) algorithm. A single-machine infinite-bus and a multi-machine hybrid power system were used for test the system stability. GAHTVPSO approach is developed to adjust the learning rates to improve the learning capability. Analysis of the performance shows that it can achieve better damping characteristics.",

keywords = "Functional link-based recurrent fuzzy neural network (FLRFNN), Genetic algorithm hybrid time varying particle swarm optimization (GAHTVPSO), Intelligent damping controller (IDC), Offshore wind farm (OWF)",

author = "Lu, {Kai Hung} and Chen, {Hsin Chuan} and Yu Su and Qiangqiang Xu",

year = "2018",

doi = "10.6119/JMST.2018.04_(2).0010",

language = "English",

volume = "26",

pages = "228--239",

journal = "Journal of Marine Science and Technology (Taiwan)",

issn = "1023-2796",

publisher = "National Taiwan Ocean University",

number = "2",

}

TY - JOUR

T1 - Design of an intelligent damping controller of statcom with hvdc for large offshore wind farm

AU - Lu, Kai Hung

AU - Chen, Hsin Chuan

AU - Su, Yu

AU - Xu, Qiangqiang

PY - 2018

Y1 - 2018

N2 - This paper proposes the design of an Intelligent Damping Controller (IDC) for a Static Synchronous Compensator (STATCOM), linking to a high voltage direct current (HVDC) transmission line, where a permanent magnet synchronous generator (PMSG)based offshore wind farm (OWF) is connected. This IDC consists of a critic network with the proposed Functional Link based Recurrent Fuzzy Neural Network (FLRFNN) and Genetic Algorithm Hybrid Time Varying Particle Swarm Optimization (GAHTVPSO) algorithm. A single-machine infinite-bus and a multi-machine hybrid power system were used for test the system stability. GAHTVPSO approach is developed to adjust the learning rates to improve the learning capability. Analysis of the performance shows that it can achieve better damping characteristics.

AB - This paper proposes the design of an Intelligent Damping Controller (IDC) for a Static Synchronous Compensator (STATCOM), linking to a high voltage direct current (HVDC) transmission line, where a permanent magnet synchronous generator (PMSG)based offshore wind farm (OWF) is connected. This IDC consists of a critic network with the proposed Functional Link based Recurrent Fuzzy Neural Network (FLRFNN) and Genetic Algorithm Hybrid Time Varying Particle Swarm Optimization (GAHTVPSO) algorithm. A single-machine infinite-bus and a multi-machine hybrid power system were used for test the system stability. GAHTVPSO approach is developed to adjust the learning rates to improve the learning capability. Analysis of the performance shows that it can achieve better damping characteristics.

KW - Functional link-based recurrent fuzzy neural network (FLRFNN)

KW - Genetic algorithm hybrid time varying particle swarm optimization (GAHTVPSO)

KW - Intelligent damping controller (IDC)

KW - Offshore wind farm (OWF)

UR - http://www.scopus.com/inward/record.url?scp=85048931461&partnerID=8YFLogxK

U2 - 10.6119/JMST.2018.04_(2).0010

DO - 10.6119/JMST.2018.04_(2).0010

M3 - Article

AN - SCOPUS:85048931461

SN - 1023-2796

VL - 26

SP - 228

EP - 239

JO - Journal of Marine Science and Technology (Taiwan)

JF - Journal of Marine Science and Technology (Taiwan)

IS - 2

ER -

Design of an intelligent damping controller of statcom with hvdc for large offshore wind farm

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this