A particle swarm optimization-based approach to achieve optimal design and operation strategy of standalone hybrid energy systems

Mahram GHAZVINI; Ali ABBASPOUR-TEHRANI-FARD; Mahmud FOTUHI-FIRUZABAD

Makale detayları

A particle swarm optimization-based approach to achieve optimal design and operation strategy of standalone hybrid energy systems

Yazarlar:

Mahram GHAZVINI | Ali ABBASPOUR-TEHRANI-FARD | Mahmud FOTUHI-FIRUZABAD

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2015 Vol.23 Issue 2, pp.335-353

Belge Tipi:

Makale

Yayın Tarihi:

3/2015

Belge Dili:

Türkçe

Document ID (Org No.):

2000742650

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

As a cost-effective and reliable alternative to supply  remote areas, standalone hybrid energy systems (HESs) are recently under  investigation to address various concerns associated with technical,  financial, and environmental issues. This paper presents a comprehensive  algorithm that can simultaneously optimize the component size, operation  strategy, and slope of the photovoltaic panels of a standalone HES using an  improved variant of particle swarm optimization (PSO), designated as the  passive congregation PSO. A new operation strategy is proposed based on the  set points of the control system. The optimization algorithm determines the  optimal values of the set points to efficiently optimize the HES operation.  The applicability and effectiveness of the proposed method are investigated  through some numerical analyses performed on a practical remote area in  Iran. In doing so, the proposed method is applied to various HES  configurations and the results are compared with those obtained using the  existing methods. Several load growth and wind speed scenarios are  considered, and their impacts on the optimization results are examined.

 

As a cost-effective and reliable alternative to supply  remote areas, standalone hybrid energy systems (HESs) are recently under  investigation to address various concerns associated with technical,  financial, and environmental issues. This paper presents a comprehensive  algorithm that can simultaneously optimize the component size, operation  strategy, and slope of the photovoltaic panels of a standalone HES using an  improved variant of particle swarm optimization (PSO), designated as the  passive congregation PSO. A new operation strategy is proposed based on the  set points of the control system. The optimization algorithm determines the  optimal values of the set points to efficiently optimize the HES operation.  The applicability and effectiveness of the proposed method are investigated  through some numerical analyses performed on a practical remote area in  Iran. In doing so, the proposed method is applied to various HES  configurations and the results are compared with those obtained using the  existing methods. Several load growth and wind speed scenarios are  considered, and their impacts on the optimization results are examined.

Makale detayları

A particle swarm optimization-based approach to achieve optimal design and operation strategy of standalone hybrid energy systems

Yazarlar: Mahram GHAZVINI | Ali ABBASPOUR-TEHRANI-FARD | Mahmud FOTUHI-FIRUZABAD

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2015 Vol.23 Issue 2, pp.335-353

Belge Tipi: Makale

Yayın Tarihi: 3/2015

Belge Dili: Türkçe

Document ID (Org No.): 2000742650

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Mahram GHAZVINI | Ali ABBASPOUR-TEHRANI-FARD | Mahmud FOTUHI-FIRUZABAD

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2015 Vol.23 Issue 2, pp.335-353

Belge Tipi:

Makale

Yayın Tarihi:

3/2015

Belge Dili:

Türkçe

Document ID (Org No.):

2000742650

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632