Optimal Location and Sizing of Distributed Generation Unit Using Human Opinion Dynamics Optimization Technique

Authors

  • Shreya Mahajan B.E. degree in Electrical & Electron- ics Engineering from University Institute of Engineering and Technol- ogy, Panjab University, Chandigarh, India
  • Dr. Shelly Vadhera Department of Electrical Engineering, NIT Kurukshetra, Haryana, India

DOI:

https://doi.org/10.13052/dgaej2156-3306.3322

Abstract

The demand of electricity is soaring rapidly. Distributed genera-
tion (DG) is one of the most suitable alternatives to fulfill this swelling
demand of energy. DG is a small scale generation which is directly in-
stalled in the distribution network or at load centre. Optimal allocation
of DG is a vital factor in improving the voltage profile of the system and
in reduction of total power losses. In this article, a detailed study of three
different methods for DG allocation and sizing has been discussed. The
first method is based on Newton Raphson load flow based technique to
deduce the optimal location of DG in two different IEEE bus systems in
MATLAB software. The next methodology is based on particle swarm
optimization (PSO) technique where a multi-objective function is being
minimized. The objective function has been modified and PSO has been
implemented to attain optimal size and location of DG unit. The third
method considered is based on human opinion dynamics evolution-
ary multi-objective optimization technique which is used to obtain the
best possible size and location of DG unit in IEEE 14 and IEEE 30 bus
systems. The human opinion dynamics method shows superiority in
minimizing the size and location muti-objective function, over the other
methods considered herein.

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Author Biographies

Shreya Mahajan, B.E. degree in Electrical & Electron- ics Engineering from University Institute of Engineering and Technol- ogy, Panjab University, Chandigarh, India

Shreya Mahajan obtained her B.E. degree in Electrical & Electron-
ics Engineering from University Institute of Engineering and Technol-
ogy, Panjab University, Chandigarh, India in 2014. She is pursuing
M. Tech degree in Power System Engineering from NIT Kurukshetra,
Haryana, India. Her areas of interest are power systems, renewable
energy, distributed generation, artificial intelligence techniques. e-mail:
123shreya.m@gmail.com

Dr. Shelly Vadhera, Department of Electrical Engineering, NIT Kurukshetra, Haryana, India

Dr. Shelly Vadhera is currently working as Associate Professor in
the department of Electrical Engineering, NIT Kurukshetra, Haryana,
India. Her areas of interest are renewable energy, power systems, electric
machines. e-mail: shelly_vadhera@rediffmail.com

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Published

2018-03-18

How to Cite

Mahajan, S. ., & Vadhera, D. S. . (2018). Optimal Location and Sizing of Distributed Generation Unit Using Human Opinion Dynamics Optimization Technique. Distributed Generation &Amp; Alternative Energy Journal, 33(2), 38–57. https://doi.org/10.13052/dgaej2156-3306.3322

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Articles