Transmission Network Expansion Planning Using Artificial Fish Swarm Algorithm

This MATLAB .m file implements transmission network expansion planning using the Artificial Fish Swarm Algorithm (AFSA) with the IEEE 6-node system as the test model. The implementation contains several core subroutines: power flow calculation and overload assessment modules, main algorithm program for the six-node system, foraging and tail-chasing behavior simulation functions, algorithm parameter definition and configuration routines, parameter assignment procedures, and line parameter data reading components. The AFSA implementation simulates fish swarm behaviors where each artificial fish represents a potential expansion solution, moving toward optimal configurations through iterative foraging and following behaviors. Additionally, the following functionalities can be integrated to enhance the file's capabilities: 1. Voltage stability analysis subroutine - implementing voltage collapse proximity indices and stability margin calculations 2. Load forecasting model - incorporating time-series prediction algorithms for demand projection 3. Line loss calculation subroutine - computing active and reactive power losses using branch current measurements 4. Optimization algorithm module - implementing multi-objective optimization techniques to identify optimal network expansion strategies By integrating these enhancements, the .m file's practicality and application scope can be significantly expanded, transforming it into a comprehensive tool for transmission network expansion planning. The upgraded implementation would feature improved optimization loops, constraint handling mechanisms, and multi-scenario analysis capabilities for power system planning.