DG Source Allocation by Fuzzy and Clonal Selection Algorithm for Minimum Loss in Distribution System

Authors

  • M. Padma Lalitha department head of Electrical and Electronics Engineering in Annamacharya Institute of Technology & Sciences, Rajampet, AITS, Rajampet
  • V.C. Veera Reddy department in EEE de- partment of S.V.U. College of Engineering, Tirupathi
  • N. Sivarami Reddy De- partment of AITS, Rajampet, A.P. India
  • V. Usha Reddy department in EEE de- partment of S.V.U. College of Engineering, Tirupathi

DOI:

https://doi.org/10.13052/dgaej2156-3306.2642

Keywords:

DG placement, Meta heuristic methods, Artificial Immune Sys- tems, Clonal Selection algorithm, loss reduction, radial distribution system

Abstract

Distributed Generation (DG) is a promising solution to many power
system problems such as voltage regulation, power loss, etc. This article
presents a new methodology using Fuzzy and Artificial Immune System
(AIS) for the placement of Distributed Generators (DGs) in a radial dis-
tribution system to reduce the real power losses and to improve the volt-
age profile. A two-stage methodology is used for the optimal DG place-
ment. In the first stage, the Fuzzy Set approach is used to find the optimal
DG locations and in the second stage, Clonal Selection algorithm of AIS
is used to size the DGs corresponding to maximum loss reduction. This
algorithm is a new, population based, optimization method inspired by
the cloning principle of the human body immune system. The advantage
of this algorithm is the population size is dynamic and it is determined
by the fitness values of the population. The proposed method is tested
on standard IEEE-33 based bus test system. Net, the results are com-
pared with different approaches available in the literature. The proposed
method outperforms the other methods in terms of the quality of solu-
tion and computational efficiency.

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Author Biographies

M. Padma Lalitha, department head of Electrical and Electronics Engineering in Annamacharya Institute of Technology & Sciences, Rajampet, AITS, Rajampet

M. Padma Lalitha was awarded a Ph.D. for her work “Soft Com-
puting Techniques for Optimal DG Placement” from S.V.U. in 2011 and
is a graduate from JNTU, Anathapur in Electrical & Electronics Engi-
neering in 1994. She obtained a post-graduate degree in PSOC from
S.V.U, Tirupathi in the year 2002. She has 14 years of experience in teach-
ing at the graduate and post-graduate level. Presently she is a profes-
sor and department head of Electrical and Electronics Engineering in
Annamacharya Institute of Technology & Sciences, Rajampet, AITS,
Rajampet. She has published nine (9) papers in international journals.
Her research includes radial distribution systems, artificial intelligence
in power systems, artificial neural networks and soft computing tech-
niques. She is a member of IEEE Power Society, IE India and ISTE India.
email:padmalalitha_mareddy@yahoo.co.in

V.C. Veera Reddy, department in EEE de- partment of S.V.U. College of Engineering, Tirupathi

V.C. Veera Reddy is a professor & head of department in EEE de-
partment of S.V.U. College of Engineering, Tirupathi. He earned a Ph.D.
for his work “Modeling & Control of Load frequency using New Op-
timal Control Strategy“ from S.V.U. in 1999. He has 28 years of experi-
ence in teaching and has guided a number of research scholars. He has
attended a number of national & international conferences. Has over 30
journal publications to his credit. Areas of interest include distribution
systems, genetic algorithms, fuzzy systems, and artificial neural net-
works. e-mail:veerareddy_vc@yahoo.com

N. Sivarami Reddy, De- partment of AITS, Rajampet, A.P. India

N. Sivarami Reddy is a professor in the Mechanical Engineering De-
partment of AITS, Rajampet, A.P. India. He is pursuing Ph.D. He has 18
years of experience in teaching and worked in various levels. He has at-
tended a number of national & international conferences. Areas of interest
include flexible manufacturing systems, Meta heuristic search methods,
global optimization techniques. e-mail:siva.narapureddy@yahoo.com

V. Usha Reddy, department in EEE de- partment of S.V.U. College of Engineering, Tirupathi

V. Usha Reddy is pursuing a Ph.D. and is a graduate from SVU,
Tirupati, A.P. in Electrical & Electronics Engineering and obtained a
post-graduate degree in PSOC from S.V.U, Tirupathi. Presently she is
working as assistant professor in EEE department of S.V.U. College of
Engineering, Tirupathi. Areas of interest include distribution systems,
genetic algorithms, fuzzy systems, artificial neural networks and artifi-
cial intelligence in power systems.

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Published

2011-10-13

How to Cite

Lalitha, M. P. ., Reddy, V. V. ., Reddy, N. S. ., & Reddy, V. U. . (2011). DG Source Allocation by Fuzzy and Clonal Selection Algorithm for Minimum Loss in Distribution System. Distributed Generation &Amp; Alternative Energy Journal, 26(4), 17–35. https://doi.org/10.13052/dgaej2156-3306.2642

Issue

2011: Vol 26 Iss 4

Section

Articles