Performance Evaluation of Flywheel, Battery and Superconducting Magnetic Energy Storage Systems on Frequency Regulation in the Context of Renewable Energy Integration

Ahmet Mete Vural; Aliyu Garba Ibrahim

Makale detayları

Performance Evaluation of Flywheel, Battery and Superconducting Magnetic Energy Storage Systems on Frequency Regulation in the Context of Renewable Energy Integration

Yazarlar:

Ahmet Mete Vural | Aliyu Garba Ibrahim

Yayıncı:

Gaziantep University

Ana Başlıklar:

Electrical Energy Storage | Electrical Energy Generation (Incl. Renewables | Excl. Photovoltaics)

Dergi:

Natural Sciences and Engineering Bulletin Vol.2 Issue 1, pp.26-55

Belge Tipi:

Makale

Yayın Tarihi:

5/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001349311

pISSN:

3023-8293

Anahtar kelimeler:

Özet:

 Frequency regulation is a crucial aspect of power system operation as it ensures that the power systems operate in a stable manner. Variations in load and renewable energy generation are the main causes of frequency instability due to weather uncertainty. This paper investigates the effects of variations in load and renewable energy generation on frequency control in power systems. Also, three different energy storage technologies Flywheel, Battery, and Superconducting Magnetic Energy Storage are integrated to test systems to investigate their effects on frequency control. To enhance the dynamic performance of the frequency controller, three recent optimization methods Artificial Rabbit Optimization, Lightning Search Algorithm, and Whale Optimization Algorithm are utilized when the test systems are subjected to different operating conditions and disturbances. The superiority of the Artificial Rabbit Optimization in comparison with other optimization methods is shown in effectively mitigating frequency oscillations in both single-area and two-area test systems. The energy storage solutions are evaluated in terms of damping effect, transient stability, and integral time absolute error index in two test systems. A compressive simulation study is conducted, and the results are presented and discussed.

 Frequency regulation is a crucial aspect of power system operation as it ensures that the power systems operate in a stable manner. Variations in load and renewable energy generation are the main causes of frequency instability due to weather uncertainty. This paper investigates the effects of variations in load and renewable energy generation on frequency control in power systems. Also, three different energy storage technologies Flywheel, Battery, and Superconducting Magnetic Energy Storage are integrated to test systems to investigate their effects on frequency control. To enhance the dynamic performance of the frequency controller, three recent optimization methods Artificial Rabbit Optimization, Lightning Search Algorithm, and Whale Optimization Algorithm are utilized when the test systems are subjected to different operating conditions and disturbances. The superiority of the Artificial Rabbit Optimization in comparison with other optimization methods is shown in effectively mitigating frequency oscillations in both single-area and two-area test systems. The energy storage solutions are evaluated in terms of damping effect, transient stability, and integral time absolute error index in two test systems. A compressive simulation study is conducted, and the results are presented and discussed.

 Frequency regulation is a crucial aspect of power system operation as it ensures that the power systems operate in a stable manner. Variations in load and renewable energy generation are the main causes of frequency instability due to weather uncertainty. This paper investigates the effects of variations in load and renewable energy generation on frequency control in power systems. Also, three different energy storage technologies Flywheel, Battery, and Superconducting Magnetic Energy Storage are integrated to test systems to investigate their effects on frequency control. To enhance the dynamic performance of the frequency controller, three recent optimization methods Artificial Rabbit Optimization, Lightning Search Algorithm, and Whale Optimization Algorithm are utilized when the test systems are subjected to different operating conditions and disturbances. The superiority of the Artificial Rabbit Optimization in comparison with other optimization methods is shown in effectively mitigating frequency oscillations in both single-area and two-area test systems. The energy storage solutions are evaluated in terms of damping effect, transient stability, and integral time absolute error index in two test systems. A compressive simulation study is conducted, and the results are presented and discussed.

 Frequency regulation is a crucial aspect of power system operation as it ensures that the power systems operate in a stable manner. Variations in load and renewable energy generation are the main causes of frequency instability due to weather uncertainty. This paper investigates the effects of variations in load and renewable energy generation on frequency control in power systems. Also, three different energy storage technologies Flywheel, Battery, and Superconducting Magnetic Energy Storage are integrated to test systems to investigate their effects on frequency control. To enhance the dynamic performance of the frequency controller, three recent optimization methods Artificial Rabbit Optimization, Lightning Search Algorithm, and Whale Optimization Algorithm are utilized when the test systems are subjected to different operating conditions and disturbances. The superiority of the Artificial Rabbit Optimization in comparison with other optimization methods is shown in effectively mitigating frequency oscillations in both single-area and two-area test systems. The energy storage solutions are evaluated in terms of damping effect, transient stability, and integral time absolute error index in two test systems. A compressive simulation study is conducted, and the results are presented and discussed.

Makale detayları

Performance Evaluation of Flywheel, Battery and Superconducting Magnetic Energy Storage Systems on Frequency Regulation in the Context of Renewable Energy Integration

Yazarlar:

Ahmet Mete Vural | Aliyu Garba Ibrahim

Yayıncı:

Gaziantep University

Ana Başlıklar:

Electrical Energy Storage | Electrical Energy Generation (Incl. Renewables | Excl. Photovoltaics)

Dergi:

Natural Sciences and Engineering Bulletin Vol.2 Issue 1, pp.26-55

Belge Tipi:

Makale

Yayın Tarihi:

5/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001349311

pISSN:

3023-8293

Battery energy storage

Flywheel energy storage

Superconducting energy storage

Wind turbine

Photovoltaic

Artificial rabbit optimization

Lightning search algorithm

Whale optimization algorithm

Sayı

Makale detayları

Yazarlar: Ahmet Mete Vural | Aliyu Garba Ibrahim

Yayıncı: Gaziantep University

Ana Başlıklar: Electrical Energy Storage | Electrical Energy Generation (Incl. Renewables | Excl. Photovoltaics)

Dergi: Natural Sciences and Engineering Bulletin Vol.2 Issue 1, pp.26-55

Belge Tipi: Makale

Yayın Tarihi: 5/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001349311

pISSN: 3023-8293

Sayı

Yazarlar:

Ahmet Mete Vural | Aliyu Garba Ibrahim

Yayıncı:

Gaziantep University

Ana Başlıklar:

Electrical Energy Storage | Electrical Energy Generation (Incl. Renewables | Excl. Photovoltaics)

Dergi:

Natural Sciences and Engineering Bulletin Vol.2 Issue 1, pp.26-55

Belge Tipi:

Makale

Yayın Tarihi:

5/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001349311

pISSN:

3023-8293