TY - GEN
T1 - Advanced Coordination of VIC, LFC, and AVR for Stability Enhancement on Renewable Rich Power System
AU - Setiadi, Herlambang
AU - Nugroho, Teguh Aryo
AU - Krismanto, Awan Uji
AU - Abdillah, Muhammad
AU - Pertiwi, Nita Indriani
AU - Asfani, Dimas Anton
AU - Nasution, Tigor Hamonangan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/9/14
Y1 - 2021/9/14
N2 - This paper proposes an advanced coordination of virtual inertia control (VIC), load frequency control (LFC), and automatic voltage regulator (AVR) to overcome the problem caused by high wind power plant plant integration. In this study, an energy storage system (ESS) is utilized as VIC. In this paper single machine infinite bus with AVR and LFC is used as the test system. To achieve the best performance of control scheme for frequency oscillation damping, the parameters of VIC, LFC, and AVR are optimized by sine cosine algorithm (SCA). Three load demand scenarios as of 100 MW, 200MW, and 150 MW are applied to the power system model with 1000 MVA of electric generator rating value. Moreover, wind power plant plant capacity is 40% of electric load peak that is allowed in injecting its power to the power system grid. Simulation results showed that the proposed method could decrease the overshoot and compress the settling time better than other control schemes utilized in this paper.
AB - This paper proposes an advanced coordination of virtual inertia control (VIC), load frequency control (LFC), and automatic voltage regulator (AVR) to overcome the problem caused by high wind power plant plant integration. In this study, an energy storage system (ESS) is utilized as VIC. In this paper single machine infinite bus with AVR and LFC is used as the test system. To achieve the best performance of control scheme for frequency oscillation damping, the parameters of VIC, LFC, and AVR are optimized by sine cosine algorithm (SCA). Three load demand scenarios as of 100 MW, 200MW, and 150 MW are applied to the power system model with 1000 MVA of electric generator rating value. Moreover, wind power plant plant capacity is 40% of electric load peak that is allowed in injecting its power to the power system grid. Simulation results showed that the proposed method could decrease the overshoot and compress the settling time better than other control schemes utilized in this paper.
KW - automatic voltage regulator
KW - energy storage system
KW - load frequency control
KW - sine cosine algorithm
KW - virtual inertia control
UR - http://www.scopus.com/inward/record.url?scp=85119100657&partnerID=8YFLogxK
U2 - 10.1109/IEIT53149.2021.9587427
DO - 10.1109/IEIT53149.2021.9587427
M3 - Conference contribution
AN - SCOPUS:85119100657
T3 - Proceedings - IEIT 2021: 1st International Conference on Electrical and Information Technology
SP - 199
EP - 204
BT - Proceedings - IEIT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Electrical and Information Technology, IEIT 2021
Y2 - 14 September 2021 through 15 September 2021
ER -