TY - JOUR
ID - 104074
TI - Amplified black hole algorithm for real power loss reduction
JO - International Journal of Research in Industrial Engineering
JA - RIEJ
LA - en
SN - 2783-1337
AU - Kanagasabai, L.
AD - Department of EEE
Prasad V.Potluri Siddhartha Institute of Technology,
Kanuru, Vijayawada, Andhra Pradesh -520007, India.
Y1 - 2020
PY - 2020
VL - 9
IS - 2
SP - 130
EP - 142
KW - Optimal reactive power
KW - Transmission Loss
KW - Amplified Black Hole
DO - 10.22105/riej.2020.214468.1114
N2 - This work presents Amplified Black Hole Algorithm (ABHA) for solving optimal reactive power problem. In the projected approach ABHA, Gravitational Search Algorithm (GSA) is merged with Black Hole Algorithm (BHA). Power loss reduction is the key objective in the proposed work. The gravitational force between stars and the progression of stars to the black hole is attuned while explore the solution space. Assumption made that heavy objects are stars in a gravitational system, which become black holes and the exploitation of GSA is enhanced. During the progression of the projected algorithm, the radius of the black hole diminishes and more objects are included, which assist to stop early convergence. To improve the exploration and exploitation, stars gravity information has been utilized. During the progression of the projected algorithm, the radius of the black hole diminishes, and more objects are included, which assist to stop early convergence. Some of the most excellent objects turn out to be the black hole, affect other objects by their sturdy gravity. The other objects are alienated into two groups: Heavy agents and light agents. Proposed ABHA has been tested in standard IEEE 14, 30, 57, 118, 300 bus test systems and simulation results show the projected algorithm reduced the real power loss comprehensively.
UR - http://www.riejournal.com/article_104074.html
L1 - http://www.riejournal.com/article_104074_0a8da23d68f6f313d436e3d1f47e48ba.pdf
ER -