Real Power Loss Reduction by Billfish and Red Mullet Optimization Algorithms

Authors

  • Lenin Kanagasabai Electrical and Electronics Engi- neering from University of Madras

Keywords:

Optimal reactive power, transmission loss, Billfish, Red Mullet.

Abstract

In this paper Billfish Optimization Algorithm (BOA) and Red Mullet Opti-
mization (RMO) Algorithm has been designed for voltage stability enhance-
ment and power loss reduction. Electrical Power is one among vital need in
the society and also it plays lead role in formation of smart cities. Continuous
power supply is essential and mainly quality of the power should be main-
tained in good mode. In this work real power loss reduction is key objective.
Natural hunting actions of Billfish over pilchards are utilized to model the
algorithm. Candidate solutions in the projected algorithm are Billfish and
population in the exploration space is arbitrarily engendered. Movement of
Billfish is high, it will attack the pilchards vigorously and it can’t escape
from the attack done by the group of Billfish. Then in this paper Red Mullet
Optimization (RMO) Algorithm is proposed to solve optimal reactive power
problem. Projected RMO algorithm modeled based on the behavior and
characteristics of red mullet. As a group they hunt for the prey and in each
group there will be chaser and blocker. When the prey approaches any one
of the blocker red mullet then automatically it will turn as new chaser. So
roles will interchangeable and very much flexible. At any time chaser will
become blocker and any of the blocker will become a chaser with respect to
prey position and conditions. Then in that particular area when all the preys
are hunted completed then red mullet group will change the area. So there will be flexibility and changing the role quickly with respect to prey position.
Alike to that with reference to the fitness function the particle will be chosen
as chaser. By means of considering L (voltage stability) - index BOA, and
RMO algorithms verified in IEEE 30- bus system. Then without L-index
BOA and RMO algorithms is appraised in 30 bus test systems. Both BOA and
RMO algorithms condensed the power loss proficiently with improvement in
voltage stability and minimization of voltage deviation

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Author Biography

Lenin Kanagasabai, Electrical and Electronics Engi- neering from University of Madras

Lenin Kanagasabai has received his B.E., Electrical and Electronics Engi-
neering from University of Madras, M.E., Degree in Power Systems from
Annamalai University and completed PhD in Electrical Engineering from
Jawaharlal Nehru Technological University Hyderabad, India. Published
more than 320 international journal research papers and presently working
as professor in Prasad V. Potluri Siddhartha Institute of Technology, Kanuru,
Vijayawada, Andhra Pradesh–520007.

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Published

2023-01-17

How to Cite

Kanagasabai, L. . (2023). Real Power Loss Reduction by Billfish and Red Mullet Optimization Algorithms . Strategic Planning for Energy and the Environment, 39(3-4), 151–178. Retrieved from https://journals.riverpublishers.com/index.php/SPEE/article/view/19453

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