Modal Aggregation Technique to Check the Accuracy of the Model Reduction of Array Cable Systems in Offshore Wind Farms

Mohammad Kazem Bakhshizadeh (), Benjamin Vilmann and Łukasz Kocewiak
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Mohammad Kazem Bakhshizadeh: Ørsted Wind Power A/S, 7000 Fredericia, Denmark
Benjamin Vilmann: Ørsted Wind Power A/S, 7000 Fredericia, Denmark
Łukasz Kocewiak: Ørsted Wind Power A/S, 7000 Fredericia, Denmark

Energies, 2022, vol. 15, issue 21, 1-19

Abstract: The need for a verification method for aggregation techniques for passive electrical systems is necessary as power systems increase in complexity. Model reduction is crucial to increase the number of simulations necessary to ensure a stable and reliable design of power systems. This paper presents a novel modal domain-based technique to identify the best aggregation technique for a given system and to indicate the validity of the aggregation. This is done by benchmarking different aggregation techniques and using the dominant contribution factor ratio as a validity parameter. The different aggregation techniques are compared via time-domain simulations against the full detailed model. It is found that (1) the power loss aggregation technique is the most precise when it weighs the equivalent impedances of the parallel feeders, (2) unequal current generation does not impact the aggregation accuracy, (3) individual string aggregation provides the best results for dynamic simulations, and (4) the validity of aggregation decreases as frequency or cable length increases.

Keywords: modal; eigenvalue-based; model reduction; aggregation; offshore wind farm; collector system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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