output
20182024
most citedDamage detection in operational wind turbine blades using a new approach based on machine learning

87 citations

9 papers

eess.SY2024★ 10 cited

Methodologies for offshore wind power plants stability analysis

Germano R. Mugambi, Nicolae Darii, Hesam Khazraj +4

The development of larger Offshore Wind Power Plants (OWPPs) is moving towards multi-vendor setups, ultimately aiming to establish Energy hubs. These structures are characterized b…

eess.SY2024★ 1 cited

Functional Specifications and Testing Requirements of Grid-Forming Type-IV Offshore Wind Power

Sulav Ghimire, Gabriel M. G. Guerreiro, Kanakesh V. K. +4

Throughout the past few years, various transmission system operators (TSOs) and research institutes have defined several functional specifications for grid-forming (GFM) converters…

eess.SY2024★ 4 cited

Oscillations between Grid-Forming Converters in Weakly Connected Offshore WPPs

Sulav Ghimire, Kanakesh V. Kkuni, Gabriel M. G. Guerreiro +3

This paper studies control interactions between grid-forming (GFM) converters exhibited by power and frequency oscillations in a weakly connected offshore wind power plant (WPP). T…

eess.SY2023★ 4 cited

Grid-Forming Control Methods for Weakly Connected Offshore WPPs

Sulav Ghimire, Kanakesh V Kkuni, Simon C Jakobsen +5

Grid-forming control (GFC) has seen numerous technological advances in their control types, applications, and the multitude of services they provide. Some examples of the services…

eess.SY2023★ 10 cited

Small-Signal Stability and SCR Enhancement of Offshore WPPs with Synchronous Condensers

Sulav Ghimire, Kanakesh V. Kkuni, Emerson D. Guest +2

Synchronous condensers (SCs) have been reported to improve the overall stability and short-circuit power of a power system. SCs are also being integrated into offshore wind power p…

stat.AP2022★ 12 cited

Probabilistic surrogate modeling of offshore wind-turbine loads with chained Gaussian processes

Deepali Singh, Richard P. Dwight, Kasper Laugesen +2

Heteroscedastic Gaussian process regression, based on the concept of chained Gaussian processes, is used to build surrogates to predict site-specific loads on an offshore wind turb…