TY - JOUR
T1 - The prediction and penetration of wind energy with storage system analysis
AU - Akyürek, Betül
AU - Türkay, Belgin Emre
N1 - Publisher Copyright:
© 2017 Taylor & Francis Group, LLC.
PY - 2017/3/4
Y1 - 2017/3/4
N2 - 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.
AB - 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.
KW - Adaptive neuro-fuzzy inference system
KW - distributed energy
KW - energy storage systems
KW - Power System Analysis Toolbox
KW - wind energy
UR - http://www.scopus.com/inward/record.url?scp=85014628348&partnerID=8YFLogxK
U2 - 10.1080/15567249.2015.1036330
DO - 10.1080/15567249.2015.1036330
M3 - Article
AN - SCOPUS:85014628348
SN - 1556-7249
VL - 12
SP - 211
EP - 215
JO - Energy Sources, Part B: Economics, Planning and Policy
JF - Energy Sources, Part B: Economics, Planning and Policy
IS - 3
ER -