Grid code requirements – A case study on the assessment for integration of offshore wind power plants in Turkey


Çelik Ö., YALMAN Y., TAN A., BAYINDIR K. Ç., Çetinkaya Ü., Akdeniz M., ...More

Sustainable Energy Technologies and Assessments, vol.52, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Review
  • Volume: 52
  • Publication Date: 2022
  • Doi Number: 10.1016/j.seta.2022.102137
  • Journal Name: Sustainable Energy Technologies and Assessments
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Geobase, INSPEC
  • Keywords: Renewable Energy, Wind Power Plants, Offshore Wind, Grid Code, Grid Integration
  • Ankara Yıldırım Beyazıt University Affiliated: Yes

Abstract

© 2022 Elsevier LtdThe increasing role of offshore wind power plants in the electricity generation mix in Turkey raises some critical grid operation issues. In this context, the grid code regulation concerning penetration of large-scale offshore wind power plants into Turkey's power system has become a prominent factor in the development of a reliable grid operation. In this paper, a comprehensive benchmark for grid codes of the European countries that have large-scale offshore wind power plants and Turkey is performed by considering voltage regulation, frequency regulation, fault ride-through, and power quality features. The compatibility of the grid codes in terms of the minimum technical requirements is discussed to show the pros and cons. An elaborated assessment of the Turkish grid code reveals the technical properties that need to be improved. The rigorous state-of-the-art review indicates that active power control & frequency regulation, reactive power control & voltage regulation, and voltage ride-through capabilities should be clarified in detail for the Turkish grid code. With this background, various recommendations, key challenges, and future trends related to the improvement of technical requirements for the Turkish grid code for the integration of offshore wind power plants are highlighted to help researchers, plant owners, and system operators.