The Permanent Magnet Synchronous Generator (PMS) be coupled with a wind turbine to produce electricity. The PMSG has very little efficiency to produce electrical power. This characteristic is influenced by wind speed, pitch angle, and others. Therefore, wind turbines need to be controlled to produce optimal electrical power. In this paper, a combination of Adaptive Neural Fuzzy Inference System (ANFIS) and Proportional Integral Derivatives (PID) was combined with the artificial intelligence of Ant Colony Optimization (ACO) to control the pitch angle. The combining ANFIS, PID, and ACO will be compared to control the pitch angle which to produce the optimal PMSG output power. The simulation results show that the three models tested have been covered for the ANFIS-PID-ACO model while the best model performed. The ANFIS-PID-ACO model was the best model whit the highest maximum active power obtained at wind speed t1= 3.7075 Watts, t2=2.188 Watts, t3=3.9199 Watts, t4=2.6086 Watts, and t5=5.0338 Watts. The ANFIS-PID-ACO method is proven to be able to optimize wind energy better than the previous method. However, this research will be developed using other methods to obtain the best optimization method.

1.
S.
Li
,
T. A.
Haskew
,
R. P.
Swatloski
, and
W.
Gathings
, “
Optimal and direct-current vector control of direct-driven PMSG wind turbines
,”
IEEE Trans. Power Electron.
, vol.
27
, no.
5
, pp.
2335
2337
,
2012
, doi: .
2.
M.
Rahimi
, “
Modeling, control and stability analysis of grid connected PMSG based wind turbine assisted with diode rectifier and boost converter
,”
Int. J. Electr. Power Energy Syst.
, vol.
93
, pp.
84
96
,
2017
, doi: .
3.
Y.
El-Tous
, “
Pitch Angle Control of Variable Speed Wind Turbine
,”
Am. J. Eng. Appl. Sci.
, vol.
1
, no.
2
, pp.
118
120
,
2008
, doi: .
4.
N.
Priyadarshi
,
V. K.
Ramachandaramurthy
,
S.
Padmanaban
, and
F.
Azam
, “
An ant colony optimized mppt for standalone hybrid pv-wind power system with single cuk converter
,”
Energies
, vol.
12
, no.
1
,
2019
, doi: .
5.
S.
Mendaci
,
M.
Boulouh
,
S.
Gouaidia
, and
A.
Ladjimi
, “
Ant Colony for optimal design of PM synchronous generator for direct-drive wind turbines
,”
2014
, doi: .
6.
Rukslin
,
M.
Haddin
, and
A.
Suprajitno
, “
Pitch angle controller design on the wind turbine with permanent magnet synchronous generator (PMSG) base on firefly algorithms (FA
),”
Proc. - 2016 Int. Semin. Appl. Technol. Inf. Commun. ISEMANTIC 2016
, no.
4
, pp.
13
17
,
2017
, doi: .
7.
Z.
Chang
,
G.
Song
, and
T.
Wang
, “
Analysis on current characteristics of PMSG under grid three-phase fault
,”
J. Eng.
, vol.
2018
, no.
15
, pp.
785
790
,
2018
, doi: .
8.
J.
Xi
,
H.
Geng
,
S.
Ma
,
Y.
Chi
, and
G.
Yang
, “
Inertial response characteristics analysis and optimisation of PMSG-based VSG-controlled WECS
,” in
IET Renewable Power Generation
,
2018
, vol.
12
, no.
15
, pp.
1741
1747
, doi: .
9.
M.
Ali
,
H.
Nurohmah
, Budiman,
J.
Suharsono
,
H.
Suyono
, and
M. A.
Muslim
, “
Optimization on PID and ANFIS Controller on Dual Axis Tracking for Photovoltaic Based on Firefly Algorithm
,” in
ICEEIE 2019 - International Conference on Electrical, Electronics and Information Engineering: Emerging Innovative Technology for Sustainable Future
,
2019
, pp.
53
57
, doi: .
10.
M.
Dorigo
and
C.
Blum
, “
Ant colony optimization theory: A survey
,”
Theor. Comput. Sci.
, vol.
344
, no.
2–3
, pp.
243
278
,
2005
, doi: .
11.
X. F.
Liu
,
Z. H.
Zhan
,
J. D.
Deng
,
Y.
Li
,
T.
Gu
, and
J.
Zhang
, “
An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing
,”
IEEE Trans. Evol. Comput.
, vol.
22
, no.
1
, pp.
113
128
,
2018
, doi: .
12.
Muhlasin
,
Budiman
,
M.
Ali
,
A.
Parwanti
,
A. A.
Firdaus
, and
Iswinarti
, “
Optimization of Water Level Control Systems Using ANFIS and Fuzzy-PID Model
,” in
2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE)
, Oct.
2020
, pp.
1
5
, doi: .
This content is only available via PDF.
You do not currently have access to this content.