LINEAR ADAPTIVE BACTERIAL FORAGING ALGORITHM: AN APPLICATION FOR D-STATCOM PLACEMENT IN DISTRIBUTION NETWORKS

Abstract

Custom power devices in power distribution systems compensates reactive power, minimizes
power loss and enhances voltage profile. In this paper, a Linear Adaptive Bacterial
Foraging Algorithm (LABFA) is applied for the allocation of Distribution Static
Compensator (D-STATCOM) in radial distribution networks with the aim of minimizing
active power losses and enhancing voltage profile. Power losses and voltage deviation are
computed from a direct power flow method based on the Bus Injected to Branch Current
(BIBC) technique. A multi-objective function comprising of total active power loss (PT(loss))
and voltage deviation (VD) is formulated. The LABFA is modelled with a linear step-size
unit, and the cell-to-cell signalling mechanism is eliminated. The effectiveness of the LABFA
technique is tested on a standard IEEE 33-bus network. The proposed method produced a
28.96 % reduction in total active power loss and 43.11 % improvement in overall network
voltage profile as compared to the base-case scenario. Also, the LABFA results procured
0.83 % reduction in active power loss and a 11.95 % improvement in overall system voltage
profile as compared to an existing bat algorithm (BA) approach.