Frequency Stability Analysis on Optimization of Virtual Inertia Control (VIC) Capacitor Energy Storage (CES) Controller Settings Using Particle Swarm Optimization

Alief Nur Aisyi Maulidhia; Dimas Anton Asfani; Ardyono Priyadi; Herlambang Setiadi

doi:10.1109/CENIM56801.2022.10037313

Frequency Stability Analysis on Optimization of Virtual Inertia Control (VIC) Capacitor Energy Storage (CES) Controller Settings Using Particle Swarm Optimization

Alief Nur Aisyi Maulidhia
, Dimas Anton Asfani
, Ardyono Priyadi
, Herlambang Setiadi

Institut Teknologi Sepuluh Nopember
Universitas Airlangga

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	359-364
Number of pages	6
ISBN (Electronic)	9781665476508
DOIs	https://doi.org/10.1109/CENIM56801.2022.10037313
Publication status	Published - 2022
Event	2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022 - Surabaya, Indonesia Duration: 22 Nov 2022 → 23 Nov 2022

Publication series

Name	Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022

Conference

Conference	2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022
Country/Territory	Indonesia
City	Surabaya
Period	22/11/22 → 23/11/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Capacitor Energy Storage
Frequency Stability
Particle Swarm Optimization
Renewable Energy
Virtual Inertia Control

Access to Document

10.1109/CENIM56801.2022.10037313

Cite this

Maulidhia, A. N. A., Asfani, D. A., Priyadi, A., & Setiadi, H. (2022). Frequency Stability Analysis on Optimization of Virtual Inertia Control (VIC) Capacitor Energy Storage (CES) Controller Settings Using Particle Swarm Optimization. In Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022 (pp. 359-364). (Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CENIM56801.2022.10037313

Maulidhia, Alief Nur Aisyi ; Asfani, Dimas Anton ; Priyadi, Ardyono et al. / Frequency Stability Analysis on Optimization of Virtual Inertia Control (VIC) Capacitor Energy Storage (CES) Controller Settings Using Particle Swarm Optimization. Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 359-364 (Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022).

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title = "Frequency Stability Analysis on Optimization of Virtual Inertia Control (VIC) Capacitor Energy Storage (CES) Controller Settings Using Particle Swarm Optimization",

abstract = "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.",

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Maulidhia, ANA, Asfani, DA , Priyadi, A & Setiadi, H 2022, Frequency Stability Analysis on Optimization of Virtual Inertia Control (VIC) Capacitor Energy Storage (CES) Controller Settings Using Particle Swarm Optimization. in Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022. Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022, Institute of Electrical and Electronics Engineers Inc., pp. 359-364, 2022 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022, Surabaya, Indonesia, 22/11/22. https://doi.org/10.1109/CENIM56801.2022.10037313

Frequency Stability Analysis on Optimization of Virtual Inertia Control (VIC) Capacitor Energy Storage (CES) Controller Settings Using Particle Swarm Optimization. / Maulidhia, Alief Nur Aisyi; Asfani, Dimas Anton ; Priyadi, Ardyono et al.
Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 359-364 (Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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 - https://www.scopus.com/pages/publications/85149112410

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 -

Maulidhia ANA, Asfani DA , Priyadi A, Setiadi H. Frequency Stability Analysis on Optimization of Virtual Inertia Control (VIC) Capacitor Energy Storage (CES) Controller Settings Using Particle Swarm Optimization. In Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 359-364. (Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022). doi: 10.1109/CENIM56801.2022.10037313

Frequency Stability Analysis on Optimization of Virtual Inertia Control (VIC) Capacitor Energy Storage (CES) Controller Settings Using Particle Swarm Optimization

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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