Fuzzified artificial bee colony algorithm for nonsmooth and nonconvex multiobjective economic dispatch problem

Chandrasekaran KOODALSAMY; Sishaj Pulikottil SIMON

Makale detayları

Fuzzified artificial bee colony algorithm for nonsmooth and nonconvex multiobjective economic dispatch problem

Yazarlar:

Chandrasekaran KOODALSAMY | Sishaj Pulikottil SIMON

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue Sup.1, pp.1995-2014

Belge Tipi:

Makale

Yayın Tarihi:

11/2012

Belge Dili:

Türkçe

Document ID (Org No.):

2000743481

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

The economic dispatch (ED) problem is one of the important optimization  problems in power system operation. Recently the power system has stressed  the need for reliable, nonpolluting, and economic operation. Hence, 3  conflicting functions of reliability, emission, and fuel cost are considered  in the objective function of the proposed ED problem. The problem is  formulated as a nonsmooth and nonconvex problem when the valve-point effects  of thermal units are considered in the proposed reliable emission and  economic dispatch (REED) problem. This paper presents a multiobjective  optimization methodology for solving the newly developed REED problem using  a fuzzified artificial bee colony algorithm. The artificial bee colony  algorithm is used to schedule the optimal dispatch and fuzzy membership  approach is used to find the best compromise solution from the Pareto  optimal set. The methodology is validated on an IEEE 30-bus system and 3-,  6-, 10-, 26-, and 40-unit systems and the results are compared with the  existing literature. The results clearly show that the proposed method is  able to produce well-distributed Pareto optimal solutions when compared with  other methods reported in the literature.

 

The economic dispatch (ED) problem is one of the important optimization  problems in power system operation. Recently the power system has stressed  the need for reliable, nonpolluting, and economic operation. Hence, 3  conflicting functions of reliability, emission, and fuel cost are considered  in the objective function of the proposed ED problem. The problem is  formulated as a nonsmooth and nonconvex problem when the valve-point effects  of thermal units are considered in the proposed reliable emission and  economic dispatch (REED) problem. This paper presents a multiobjective  optimization methodology for solving the newly developed REED problem using  a fuzzified artificial bee colony algorithm. The artificial bee colony  algorithm is used to schedule the optimal dispatch and fuzzy membership  approach is used to find the best compromise solution from the Pareto  optimal set. The methodology is validated on an IEEE 30-bus system and 3-,  6-, 10-, 26-, and 40-unit systems and the results are compared with the  existing literature. The results clearly show that the proposed method is  able to produce well-distributed Pareto optimal solutions when compared with  other methods reported in the literature.

Makale detayları

Fuzzified artificial bee colony algorithm for nonsmooth and nonconvex multiobjective economic dispatch problem

Yazarlar: Chandrasekaran KOODALSAMY | Sishaj Pulikottil SIMON

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue Sup.1, pp.1995-2014

Belge Tipi: Makale

Yayın Tarihi: 11/2012

Belge Dili: Türkçe

Document ID (Org No.): 2000743481

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Chandrasekaran KOODALSAMY | Sishaj Pulikottil SIMON

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2013 Vol.21 Issue Sup.1, pp.1995-2014

Belge Tipi:

Makale

Yayın Tarihi:

11/2012

Belge Dili:

Türkçe

Document ID (Org No.):

2000743481

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632