Abstract
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 language | English |
|---|---|
| Pages (from-to) | 211-215 |
| Number of pages | 5 |
| Journal | Energy Sources, Part B: Economics, Planning and Policy |
| Volume | 12 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 4 Mar 2017 |
Bibliographical note
Publisher Copyright:© 2017 Taylor & Francis Group, LLC.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Adaptive neuro-fuzzy inference system
- Power System Analysis Toolbox
- distributed energy
- energy storage systems
- wind energy
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