A novel generation and capacitor integration technique for today's   distribution systems

OKAN ÖZGÖNENEL; SERAP KARAGÖL

Makale detayları

A novel generation and capacitor integration technique for today's distribution systems

Yazarlar:

OKAN ÖZGÖNENEL | SERAP KARAGÖL

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 3, pp.2434-2443

Belge Tipi:

Makale

Yayın Tarihi:

5/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000740925

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

In this paper, the problem of optimally placing shunt   capacitors and generators in radial distribution systems is handled and a   new calculation technique based on wavelet neural network (WNN), which is   computationally effective compared to well-known techniques, is proposed.   The objectives for the proposed method are simply selected as the minimum   cost of peak power and losses and maximum voltage stability. The suggested   optimization technique is tested on various IEEE radial buses and then   compared to the well-known methods in the literature, i.e. golden section   search, grid search, and Acharya's heuristic method. The proposed and   conventional methods are applied to well-known IEEE buses to see the   performances of the suggested technique. The results demonstrate that WNN   provides an efficient solution to the placement of both shunt capacitors and   distributed generators for power distribution systems.

Makale detayları

A novel generation and capacitor integration technique for today's distribution systems

Yazarlar: OKAN ÖZGÖNENEL | SERAP KARAGÖL

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 3, pp.2434-2443

Belge Tipi: Makale

Yayın Tarihi: 5/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000740925

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

OKAN ÖZGÖNENEL | SERAP KARAGÖL

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 3, pp.2434-2443

Belge Tipi:

Makale

Yayın Tarihi:

5/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000740925

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632