GA-Based Permutation Logic for Grid Integration of Offshore Multi-Source Renewable Parks

Brenda Rojas-Delgado*, Chisom Ekweoba, George Lavidas, Irina temiz

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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This paper proposes and analyzes a genetic algorithm based permutation control logic applied to the aggregator of an offshore multi-source park. The energy losses at the common coupling point are accounted for in the feedback. This paper focuses on offshore distributed energy resources, such as floating photovoltaic (PV), wind, and wave power. The main contributions of this research are the development of a control system that is capable of tracking the set-point imposed by the demand curve for each source individually, the introduction of a capacity factor for combined offshore floating PV/wind/wave power farms, and the unveiling of pure offshore renewable sources as potential storage-less flexibility service providers. The results of a case study for a site near San Francisco showed that energy losses and capacity factors are positively influenced by implementing the proposed approach.
Original languageEnglish
Article number1208
Pages (from-to)1-23
Number of pages23
Issue number12
Publication statusPublished - 2022


  • distributed energy resources
  • genetic algorithm
  • offshore renewables
  • permutation logic
  • point of common coupling


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