Implementation of improved grasshopper optimization algorithm to solve economic load dispatch problems

Muhammad SULAİMAN; Masihullah MASİHULLAH; Zubair HUSSAİN; Sohail AHMAD; Wali Khan MASHWANİ; Muhammad Asif JAN; Rashida Adeeb KHANUM

doi:https://doi.org/10.15672/hujms.507579

Makale detayları

Implementation of improved grasshopper optimization algorithm to solve economic load dispatch problems

Yazarlar:

Muhammad SULAİMAN | Masihullah MASİHULLAH | Zubair HUSSAİN | Sohail AHMAD | Wali Khan MASHWANİ | Muhammad Asif JAN | Rashida Adeeb KHANUM

Yayıncı:

Hacettepe University

Ana Başlıklar:

Analiz

Dergi:

Hacettepe Journal of Mathematics and Statistics 2019 Vol.48 Issue 5, pp.1570-1589

Belge Tipi:

Makale

Yayın Tarihi:

10/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000451444

Sıklık:

İki Aylık

eISSN:

2651-477X

pISSN:

2651-477X

DOI:

https://doi.org/10.15672/hujms.507579

Özet:

 

The costs of different fuels are increasing gradually, for operation of power production units. Thus new optimization techniques are needed to tackle the complex problems of Economic Load Dispatch (ELD). Metaheuristics are very helpful for policy and decision makers in achieving the best results by minimizing the cost function. In this paper, we have updated the Grasshopper Optimization Algorithm (GOA) with a better initialization strategy to balance the search capability of GOA. The new algorithm is named as Improved Grasshopper Algorithm (IGOA). GOA is inspired by the swarms of grasshopper and mimics their biological behavior. Furthermore, IGOA is used to solve the ELD problems by tacking four case studies from literature. The objective in these problems is to find best decision variables for dispatching the available power with lowest cost, better efficiency and more reliability. To validate the efficiency of our proposed algorithm, we have tested it by solving 4 case studies of ELD with 1263MW, 600MW, 800MW and 2500MW demands respectively. IGOA is better in terms of convergence rate and quality of solutions obtained for the problems considered in literature for other metaheuristics.

Makale detayları

Implementation of improved grasshopper optimization algorithm to solve economic load dispatch problems

Yazarlar: Muhammad SULAİMAN | Masihullah MASİHULLAH | Zubair HUSSAİN | Sohail AHMAD | Wali Khan MASHWANİ | Muhammad Asif JAN | Rashida Adeeb KHANUM

Yayıncı: Hacettepe University

Ana Başlıklar: Analiz

Dergi: Hacettepe Journal of Mathematics and Statistics 2019 Vol.48 Issue 5, pp.1570-1589

Belge Tipi: Makale

Yayın Tarihi: 10/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000451444

Sıklık: İki Aylık

eISSN: 2651-477X

pISSN: 2651-477X

DOI: https://doi.org/10.15672/hujms.507579

Sayı

Yazarlar:

Muhammad SULAİMAN | Masihullah MASİHULLAH | Zubair HUSSAİN | Sohail AHMAD | Wali Khan MASHWANİ | Muhammad Asif JAN | Rashida Adeeb KHANUM

Yayıncı:

Hacettepe University

Ana Başlıklar:

Analiz

Dergi:

Hacettepe Journal of Mathematics and Statistics 2019 Vol.48 Issue 5, pp.1570-1589

Belge Tipi:

Makale

Yayın Tarihi:

10/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000451444

Sıklık:

İki Aylık

eISSN:

2651-477X

pISSN:

2651-477X

DOI:

https://doi.org/10.15672/hujms.507579