A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Radial Distribution Network Enhancement with D-Statcom Using Bacterial Foraging Algorithm
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).
Radial Distribution Network Enhancement with D-Statcom Using Bacterial Foraging Algorithm
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).
Radial Distribution Network Enhancement with D-Statcom Using Bacterial Foraging Algorithm
U. Musa (author) / G. A. Bakare (author) / A. A. Mati (author) / A. Mohammed (author) / A. Umar (author)
2018
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Performance Analysis of Radial Distribution Systems with UPQC and D-STATCOM
| Springer Verlag | 2016
Analysis of Distribution System with D-STATCOM by Gravitational Search Algorithm (GSA)
| Springer Verlag | 2019
Effective Utilisation of Weakly Meshed Distribution Network with DG and D-STATCOM
| Springer Verlag | 2021
Aeroelastic tailoring and scaling using Bacterial Foraging Optimisation
| British Library Online Contents | 2014