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Optimal FRT compliance of offshore wind power plants in VSC-HVDC connection based on genetic algorithms

Authors: Mart A. M. M. van der Meijden; Jose L. Rueda; Marjan Popov; Mario Ndreko;

Optimal FRT compliance of offshore wind power plants in VSC-HVDC connection based on genetic algorithms

Abstract

This paper proposes a new methodology for the optimal compliance of offshore wind power plants in VSCHVDC grid connection with the typical Fault-Ride-Through (FRT) requirements. Unlike the traditional chopper based solution, an improved offshore AC voltage drop FRT strategy, which is communication free and ensures robust faulted dynamic response is proposed to achieve FRT compliance. The calculation of the best parameters which enable successful FRT compliance is formulated as an optimization problem. The objective function aims at minimizing the electrical stresses imposed at the HVDC system and at the offshore wind power plants during the FRT and the post-FRT period, while simultaneously ensuring FRT compliance for the HVDC system and the wind power plants. The optimization is tackled based on an iterative procedure that combines dynamic EMT-type modelling of the VSC-HVDC system and the connected type 4 offshore wind power plants, with a genetic algorithm based search process. Numerical results for a point-to-point connection that is extended to the three terminal HVDC grid connection case are demonstrated.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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