Nonlinear Control of Inertial Response for HVDC‐Connected Offshore Wind Farms

ABSTRACT The growing penetration of renewable energy resources could be a major concern in terms of the primary frequency response of the grid. Nevertheless, this can potentially be addressed by the inertial response of the grid‐connected DFIG‐based offshore wind farms through VSC‐HVDC‐VSC (voltage‐sourced converter). However, the inherent nonlinearity of this system leads to unsatisfactory performance when controlled with linear controllers. This paper proposes a nonlinear control strategy specifically designed to enable robust inertial support under the grid frequency events. A detailed nonlinear model is developed for the entire system, including the wind turbine, DFIG converters, HVDC transmission system, and grid interface. Unlike conventional omission of nonlinear terms, the output feedback linearisation (FL) is applied to transform the coordinates of the nonlinear system into a new coordinate representing a linear structure while fully retaining the original nonlinearities, thereby ensuring accurate dynamic representation. Furthermore, a sliding mode control (SMC) strategy is proposed to ensure robust system performance in the face of load variations and uncertainties in the engaged system and grid parameters. The stability of the system's internal dynamics and the sliding surface in the SMC is demonstrated using Lyapunov's method. The performance of the proposed controller is validated through various simulations under different scenarios by employing the IEEE 39‐bus test system.

Authors

Institutions

Publication Details

Journal
IET Renewable Power Generation
Published
2025-01-01
DOI
https://doi.org/10.1049/rpg2.70105
Citations
1
Primary Topic
HVDC Systems and Fault Protection
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nonlinear Control of Inertial Response for HVDC‐Connected Offshore Wind Farms

Mahdi Jafari Harandi, Masoud Aliakbar Golkar, Mohammad Tavakoli Bina
1 citations
IET Renewable Power Generation
HVDC Systems and Fault Protection
0.73
article

Nonlinear Control of Inertial Response for HVDC‐Connected Offshore Wind Farms

Mahdi Jafari Harandi, Masoud Aliakbar Golkar, Mohammad Tavakoli Bina
article en
1 citations

Abstract

ABSTRACT The growing penetration of renewable energy resources could be a major concern in terms of the primary frequency response of the grid. Nevertheless, this can potentially be addressed by the inertial response of the grid‐connected DFIG‐based offshore wind farms through VSC‐HVDC‐VSC (voltage‐sourced converter). However, the inherent nonlinearity of this system leads to unsatisfactory performance when controlled with linear controllers. This paper proposes a nonlinear control strategy specifically designed to enable robust inertial support under the grid frequency events. A detailed nonlinear model is developed for the entire system, including the wind turbine, DFIG converters, HVDC transmission system, and grid interface. Unlike conventional omission of nonlinear terms, the output feedback linearisation (FL) is applied to transform the coordinates of the nonlinear system into a new coordinate representing a linear structure while fully retaining the original nonlinearities, thereby ensuring accurate dynamic representation. Furthermore, a sliding mode control (SMC) strategy is proposed to ensure robust system performance in the face of load variations and uncertainties in the engaged system and grid parameters. The stability of the system's internal dynamics and the sliding surface in the SMC is demonstrated using Lyapunov's method. The performance of the proposed controller is validated through various simulations under different scenarios by employing the IEEE 39‐bus test system.

IET Renewable Power GenerationVol. 19(1)
K. N. Toosi University of Technology (IR)
Openalex Percentile: Top 25%
HVDC Systems and Fault Protection
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.