Optimal Allocation of Different Types of Distributed Generators in Distribution System

Suresh Kumar SUDABATTULA; Kowsalya MUNISWAMY

Article Details

Optimal Allocation of Different Types of Distributed Generators in Distribution System

Authors:

Suresh Kumar SUDABATTULA | Kowsalya MUNISWAMY

Publisher:

Gazi University

Main Topics:

Applied physics

Journal:

Gazi University Journal of Science 2019 Vol.32 Issue 1, pp.186-203

Document Type:

Article

Publication Date:

2/2019

Document Language:

English

Document ID (Org No.):

2000428069

eISSN:

2147-1762

Abstract:

 


In this paper,
an effective methodology is proposed for the optimal allocation of conventional
(Gas turbines) and renewable based distributed generators (solar, wind) in the
distribution system (DS) are presented. The objectives are to minimize real,
reactive power losses and emission produced by the sources. Initially, the best
locations for placement of  DGs  are identified by voltage stability factor
(VSF) concept. The number and size of solar, wind based DGs and gas turbines
corresponding to these locations are determined by applying search based
dragonfly algorithm (DFA). The generation uncertainties associated with wind
and solar based DGs is effectively modeled by Weibull and beta probability
distribution functions (PDF) to determine the exact output power. Two different
scenarios, i.e. optimal allocation and the combination of different types DERs
in the distribution system is considered in this analysis. The developed method
is tested on IEEE 33 and 69 bus distribution systems. Finally, the obtained results
are compared with other promising methods in the literature. The results show
its effectiveness in terms of solving respective objective function.



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Article Details

Optimal Allocation of Different Types of Distributed Generators in Distribution System

Authors: Suresh Kumar SUDABATTULA | Kowsalya MUNISWAMY

Publisher: Gazi University

Main Topics: Applied physics

Journal: Gazi University Journal of Science 2019 Vol.32 Issue 1, pp.186-203

Document Type: Article

Publication Date: 2/2019

Document Language: English

Document ID (Org No.): 2000428069

eISSN: 2147-1762

Issues

Authors:

Suresh Kumar SUDABATTULA | Kowsalya MUNISWAMY

Publisher:

Gazi University

Main Topics:

Applied physics

Journal:

Gazi University Journal of Science 2019 Vol.32 Issue 1, pp.186-203

Document Type:

Article

Publication Date:

2/2019

Document Language:

English

Document ID (Org No.):

2000428069

eISSN:

2147-1762