TY - GEN
T1 - Frequency Stability Analysis on Optimization of Virtual Inertia Control (VIC) Capacitor Energy Storage (CES) Controller Settings Using Particle Swarm Optimization
AU - Maulidhia, Alief Nur Aisyi
AU - Asfani, Dimas Anton
AU - Priyadi, Ardyono
AU - Setiadi, Herlambang
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Rapid industrial development requires more energy to support all industrial processes. Using conventional energy is not environmentally friendly as it can destroy the environment. The conversion from using conventional energy to using renewable energy sources is increasingly being used around the world. However, the presence of renewable energy poses new challenges to the world of power systems. To generate renewable energy sources, components such as inverters must be connected to the power grid. Inverters are zero-inertia devices because they have no rotating bodies that generate inertia. In a system, frequency stability is highly dependent on the inertia and damping of the system itself. To overcome this problem, we study the impact of integrating renewable energy into the power system using a virtual inertial controller (VIC) based on energy storage systems. One of the energy storage systems used is Capacitor Energy Storage (CES). Optimizing the output power that can be generated by the capacitor energy store requires optimizing the values of the individual parameters. One of the methods available is the Particle Swarm Optimization (PSO) method. The focus of this study is to study the effect of installing a VIC in his CES optimized with a particle swarm optimization algorithm on system frequency oscillations induced by static loads.
AB - Rapid industrial development requires more energy to support all industrial processes. Using conventional energy is not environmentally friendly as it can destroy the environment. The conversion from using conventional energy to using renewable energy sources is increasingly being used around the world. However, the presence of renewable energy poses new challenges to the world of power systems. To generate renewable energy sources, components such as inverters must be connected to the power grid. Inverters are zero-inertia devices because they have no rotating bodies that generate inertia. In a system, frequency stability is highly dependent on the inertia and damping of the system itself. To overcome this problem, we study the impact of integrating renewable energy into the power system using a virtual inertial controller (VIC) based on energy storage systems. One of the energy storage systems used is Capacitor Energy Storage (CES). Optimizing the output power that can be generated by the capacitor energy store requires optimizing the values of the individual parameters. One of the methods available is the Particle Swarm Optimization (PSO) method. The focus of this study is to study the effect of installing a VIC in his CES optimized with a particle swarm optimization algorithm on system frequency oscillations induced by static loads.
KW - Capacitor Energy Storage
KW - Frequency Stability
KW - Particle Swarm Optimization
KW - Renewable Energy
KW - Virtual Inertia Control
UR - http://www.scopus.com/inward/record.url?scp=85149112410&partnerID=8YFLogxK
U2 - 10.1109/CENIM56801.2022.10037313
DO - 10.1109/CENIM56801.2022.10037313
M3 - Conference contribution
AN - SCOPUS:85149112410
T3 - Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
SP - 359
EP - 364
BT - Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
Y2 - 22 November 2022 through 23 November 2022
ER -
