The prediction and penetration of wind energy with storage system analysis

Betül Akyürek, Belgin Emre Türkay*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


In this study, the expected wind energy of 9 MW installed power is calculated by using the adaptive neuro-fuzzy inference system (ANFIS). Spilled wind energy is determined by Power System Analysis Toolbox (PSAT). Since the unit price of electricity generated by wind energy is known, the cost of the spilled wind energy can be calculated. Energy storage systems (ESSs) are researched, and the annual costs of each ESS are calculated. Also, ESS leads to decreases in line losses and hence profits were calculated and compared with the cost of ESS. Results of the study showed that for 9 MW installed power, ESS is not feasible but it is obvious that ESS will be feasible for higher power ratings.

Original languageEnglish
Pages (from-to)211-215
Number of pages5
JournalEnergy Sources, Part B: Economics, Planning and Policy
Issue number3
Publication statusPublished - 4 Mar 2017

Bibliographical note

Publisher Copyright:
© 2017 Taylor & Francis Group, LLC.


  • Adaptive neuro-fuzzy inference system
  • distributed energy
  • energy storage systems
  • Power System Analysis Toolbox
  • wind energy


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