TY - JOUR
T1 - Enhancement of frequency transient response using fuzzy-PID controller considering high penetration of doubly fed induction generators
AU - Abdillah, Muhammad
AU - Solehan, Alfi
AU - Pertiwi, Nita Indriani
AU - Setiadi, Herlambang
AU - Jasmine, Senit Araminta
AU - Afif, Yusrizal
AU - Delfianti, Rezi
N1 - Publisher Copyright:
© 2024, Institute of Advanced Engineering and Science. All rights reserved.
PY - 2024/8
Y1 - 2024/8
N2 - In modern power systems, renewable-based power plant such as wind power system is integrated significantly. Among numerous types of wind power systems doubly fed induction generators (DFIG) is becoming favorable in the last few years. However, adding a wind power plant could give a new challenge to the power system, especially in frequency stability. Hence, it is important to control the frequency of the power system to be able to find its initial condition in every condition. Generally, the frequency of the power system can be controlled by using automatic generation control (AGC). AGC is used to maintain the balance between generating capacity and the load by adding integral control to the governor. However, with more and more wind power systems in the grid conventional AGC is unsuitable. Hence, it is important to have an advanced AGC based on the artificial intelligence method. This paper proposed the application of fuzzy-proportional integrator derivative (fuzzy-PID) for AGC in power systems considering the high penetration of wind power systems. From the simulation results, it is found that the proposed method can reduce the overshoot and accelerate the settling time of frequency better than using conventional AGC.
AB - In modern power systems, renewable-based power plant such as wind power system is integrated significantly. Among numerous types of wind power systems doubly fed induction generators (DFIG) is becoming favorable in the last few years. However, adding a wind power plant could give a new challenge to the power system, especially in frequency stability. Hence, it is important to control the frequency of the power system to be able to find its initial condition in every condition. Generally, the frequency of the power system can be controlled by using automatic generation control (AGC). AGC is used to maintain the balance between generating capacity and the load by adding integral control to the governor. However, with more and more wind power systems in the grid conventional AGC is unsuitable. Hence, it is important to have an advanced AGC based on the artificial intelligence method. This paper proposed the application of fuzzy-proportional integrator derivative (fuzzy-PID) for AGC in power systems considering the high penetration of wind power systems. From the simulation results, it is found that the proposed method can reduce the overshoot and accelerate the settling time of frequency better than using conventional AGC.
KW - Automatic generation control
KW - Clean energy technology
KW - Frequency stability
KW - Fuzzy-proportional integrator derivative
KW - Wind power plant
UR - http://www.scopus.com/inward/record.url?scp=85196549857&partnerID=8YFLogxK
U2 - 10.11591/eei.v13i4.6481
DO - 10.11591/eei.v13i4.6481
M3 - Article
AN - SCOPUS:85196549857
SN - 2089-3191
VL - 13
SP - 2260
EP - 2268
JO - Bulletin of Electrical Engineering and Informatics
JF - Bulletin of Electrical Engineering and Informatics
IS - 4
ER -