Radial Distribution Network Enhancement with D-Statcom Using Bacterial Foraging Algorithm

  • U. Musa Department of Electrical and Computer Engineering, Ahmadu Bello University, Zaria-Nigeria.
  • G. A. Bakare Department of Electrical and Electronics Engineering, Abubakar Tafawa Balewa University, Bauchi-Nigeria
  • A. A. Mati Centre for Energy Research and Training, Ahmadu Bello University, Zaria-Nigeria
  • A. Mohammed Department of Electrical and Computer Engineering, Ahmadu Bello University, Zaria-Nigeria
  • A. Umar Department of Electrical and Computer Engineering, Ahmadu Bello University, Zaria-Nigeria

Abstract

This paper presents a Bacterial Foraging Algorithm (BFA) based approach to optimal location and sizing of Distribution Static Compensator (D-STATCOM) for voltage profile improvement and power loss minimization. A direct approach based on Bus Injected to Branch Current Matrix (BIBC) is used for power flow analysis. An objective function comprising total active power loss and overall bus voltage deviation is formulated for use in the BFA. The effectiveness of the proposed approach is tested on the standard IEEE 33-bus radial distribution network for steady-state constant load model. The results obtained from the proposed approach showed a 28.7 % and 23.9 % reduction in active power loss and size of D-STATCOM respectively when compared with those of Analytical approach. Also, a 54 % improvement in overall network voltage profile was recorded using the proposed approach as compared with the reported results of the Bat Algorithm (BA).

Published
Jun 1, 2018
How to Cite
MUSA, U. et al. Radial Distribution Network Enhancement with D-Statcom Using Bacterial Foraging Algorithm. Arid Zone Journal of Engineering, Technology and Environment, [S.l.], v. 14, n. 2, p. 249-260, june 2018. ISSN 2545-5818. Available at: <http://azojete.com.ng/index.php/azojete/article/view/401>. Date accessed: 23 sep. 2018.
Section
Articles