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A Wind Farm Electrical Systems Evaluation with EeFarm-II

Author

Listed:
  • Jan Pierik

    (Energy research Centre of the Netherlands (ECN), Westerduinweg 3, 1755 LE Petten, The Netherlands)

  • Urban Axelsson

    (Vattenfall AB, Power Technology, J¨amtlandsgatan 99 , SE 162 87 Stockholm, Sweden)

  • Emil Eriksson

    (Vattenfall AB, Power Technology, J¨amtlandsgatan 99 , SE 162 87 Stockholm, Sweden)

  • Daniel Salomonsson

    (Vattenfall AB, Power Technology, J¨amtlandsgatan 99 , SE 162 87 Stockholm, Sweden)

  • Pavol Bauer

    (Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands)

  • Balazs Czech

    (Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands)

Abstract

EeFarm-II is used to evaluate 13 different electrical systems for a 200 MW wind farm with a 100 km connection to shore. The evaluation is based on component manufacturer data of 2009. AC systems are compared to systems with DC connections inside the wind farm and DC connection to shore. Two options have the best performance for this wind farm size and distance: the AC system and the system with a DC connection to shore. EeFarm-II is a user friendly computer program for wind farm electrical and economic evaluation. It has been built as a Simulink Library in the graphical interface of Matlab-Simulink. EeFarm-II contains models of wind turbines, generators, transformers, AC cables, inductors, nodes, splitters, PWM converters, thyristor converters, DC cables, choppers and statcoms.

Suggested Citation

  • Jan Pierik & Urban Axelsson & Emil Eriksson & Daniel Salomonsson & Pavol Bauer & Balazs Czech, 2010. "A Wind Farm Electrical Systems Evaluation with EeFarm-II," Energies, MDPI, vol. 3(4), pages 1-15, March.
  • Handle: RePEc:gam:jeners:v:3:y:2010:i:4:p:619-633:d:7725
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    Citations

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    Cited by:

    1. Rodrigo Teixeira Pinto & Sílvio Fragoso Rodrigues & Edwin Wiggelinkhuizen & Ricardo Scherrer & Pavol Bauer & Jan Pierik, 2012. "Operation and Power Flow Control of Multi-Terminal DC Networks for Grid Integration of Offshore Wind Farms Using Genetic Algorithms," Energies, MDPI, vol. 6(1), pages 1-26, December.
    2. Tao Ding & Qinglai Guo & Rui Bo & Hongbin Sun & Boming Zhang & Tian-en Huang, 2014. "A Static Voltage Security Region for Centralized Wind Power Integration—Part II: Applications," Energies, MDPI, vol. 7(1), pages 1-18, January.

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