Umar Musa, Ganiyu A. Bakare, Abdullahi A. Mati, Abdullahi Abubakar Mas’ud
Optimal placement of Distribution Flexible AC Transmission Systems (D-FACTS) devices in power networks maximizes loadability, compensates reactive power, minimizes power loss and enhances voltage profile. In this paper, a Quadratic Adaptive Bacterial Foraging Algorithm (QABFA) is used to the optimal location and sizing of Distribution Static Compensator (D-STATCOM) in radial distribution networks for loss minimization and voltage profile enhancement. Power losses and voltage deviation are calculated using a direct power flow method. A multi-objective function made-up of total active power loss (PT(loss)) and bus voltage deviation (VD) is formulated. The QABFA is modelled with a quadratic run-length unit, and without the cell-to-cell signalling mechanism. The effectiveness of the proposed method is investigated on the IEEE 33-bus standard network. The proposed QABFA approach produced a 28.96 % reduction in total active power loss and 43.11% improvement obtained in the overall network voltage profile as compared to the base-case scenario. Similarly, in comparison to the bat algorithm (BA) approach, the QABFA results confirmed a slight reduction (0.83 %) in active power loss and 11.95 % improvement in voltage profile.