Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Optimal Power Flow Method Using Evolutionary Programming
SEAL'98 Selected papers from the Second Asia-Pacific Conference on Simulated Evolution and Learning on Simulated Evolution and Learning
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation
IEEE Transactions on Evolutionary Computation
| Hi-index | 0.00 |
Flexible alternating current transmission systems (FACTS) devices have been proposed as an effective solution for controlling power flow and regulating bus voltage in electrical power systems, resulting in an increased transfer capability, low system loss and improved stability. However, to what extent the performance can be highly enhanced depends on location and parameters of these devices. Static synchronous series converter (SSSC) is one of the most promising FACTS devices for power flow control. In this paper, we propose an evolutionary optimisation technique, namely bacteria foraging algorithm (BFA) to select the optimal location and optimal parameters setting of SSSC, which minimises transmission loss, production cost and voltage deviation in power network. Case studies with IEEE-30 bus system are presented to illustrate the applicability of the algorithm.