Optimal Allocation of DGs and Capacitor Banks in Radial Distribution Systems

Authors

  • Satish Kumar Injeti EEE department of GMR Institute of Technology, Rajam, located in Andhra Pradesh State, India.
  • Sd. Meera Shareef department of Narasaraopet Engineering college, Nara- saraopet located in Andhra Pradesh State, India
  • T. Vinod Kumar EEE department of Narasaraopet Engineering college, Narasaraopet located in Andhra Pradesh State, India

DOI:

https://doi.org/10.13052/dgaej2156-3306.3331

Keywords:

Optimal allocation, DGs, capacitors, radial distribution system, distribution losses minimization.

Abstract

Little attention has been paid to the integration of Distributed Gen-
erators or DGs and capacitor banks in radial distribution system to meet
the increased electricity demand and to improve the technical aspects
like power loss reduction, voltage profile improvement, etc. Such im-
provements involve major concerns such as finding the optimal sizing of
DGs and capacitor banks and their locations. This article presents the ap-
plication of two new optimization algorithms: Firefly Algorithm (FFA)
and Backtracking Search Algorithm (BSA) to solve the optimal place-
ment of both DG and fixed capacitor banks, in order to reduce the power
loss and improve voltage profile of distribution system. A detailed per-
formance analysis is carried out on 33-bus and 69-bus radial distribution
system to demonstrate the effectiveness of the proposed algorithms and
the results are compared with the Genetic Algorithm/Particle Swarm
Optimization (GA/ PSO), Imperial Competitive Algorithm/ Genetic Al-
gorithm (ICA/ GA) and Analytical approaches available in the literature.

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Author Biographies

Satish Kumar Injeti, EEE department of GMR Institute of Technology, Rajam, located in Andhra Pradesh State, India.

Satish Kumar Injeti, Ph.D., is presently working as Professor
in EEE department of GMR Institute of Technology, Rajam, located in
Andhra Pradesh State, India. He obtained his B.Tech. Specialization in
Electrical and Electronics Engineering from the J.N.T. University, Hyderabad in 2002, Masters Degree from J.N.T. University, Anantapur in 2005
and Ph.D. in Electrical and Electronics Engineering specialized in Power
Systems from J.N.T. University, Kakinada. His areas of research include
Distributed Generation planning, Power System Optimization, optimal
capacitor placement, economic dispatch, power system stability, Hybrid
power systems and Digital Image Processing. He may be contacted at
satishinjeti@gmail.com

Sd. Meera Shareef, department of Narasaraopet Engineering college, Nara- saraopet located in Andhra Pradesh State, India

Sd. Meera Shareef, M.E., is presently working as Assistant Pro-
fessor in EEE department of Narasaraopet Engineering college, Nara-
saraopet located in Andhra Pradesh State, India. He obtained his B.Tech
Specialization in Electrical and Electronics Engineering from the J.N.T.
University, Kakinada in 2012 and Master's Degree fromAndhra Univer-
sity, Visakhapatnam in 2014. His areas of research include Power System
Optimization, optimal capacitor placement, optimal DGs placement and
economic dispatch. He may be contacted at sd.meerasharif@gmail.com

T. Vinod Kumar, EEE department of Narasaraopet Engineering college, Narasaraopet located in Andhra Pradesh State, India

T. Vinod Kumar, M.E., is presently working as Assistant Professor
in EEE department of Narasaraopet Engineering college, Narasaraopet
located in Andhra Pradesh State, India. He obtained his B.Tech Special-
ization in Electrical and Electronics Engineering from the J.N.T. Univer-
sity, Kakinada in 2011 and Master's Degree from Andhra University,
Visakhapatnam in 2014. His areas of research include Power System
Optimization, optimal capacitor placement, optimal DGs placement and
economic dispatch. He may be contacted at vinod191@gmail.com

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Published

2018-06-20

How to Cite

Injeti, S. K. ., Shareef, S. M. ., & Kumar, T. V. . (2018). Optimal Allocation of DGs and Capacitor Banks in Radial Distribution Systems. Distributed Generation &Amp; Alternative Energy Journal, 33(3), 6–34. https://doi.org/10.13052/dgaej2156-3306.3331

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