Power Angle Swing Curve Optimization using BAT Algorithm

This program implements the Bat Algorithm for optimizing a function of multiple variables.

The code first initializes the variables, including the lower and upper bounds for the parameters of the power angle model. The code then enters the main loop, where it performs the following steps in each iteration:

1. Evaluates the objective function for each bat. The objective function in this case is the power angle at a specific time point.
2. Updates the best position and value for each bat.
3. Updates the positions and velocities of the bats.
4. Updates the loudness and pulse rate of the bats.

The algorithm terminates when the maximum number of iterations is reached. The best position and value of the bats are then returned as the optimized results.

The optimized results can be used to determine the parameters of the power angle model that will minimize the power angle at a specific time point. This information can be used to improve the stability of the power system.

The code could be used to optimize the parameters of a power angle model for a power system that has experienced a fault. The goal would be to minimize the power angle at a specific time point after the fault has been cleared. The optimized results could then be used to adjust the control settings of the power system to improve its stability.