In this research study, three case studies were simulated to understand the transient and dynamic performances of the plant model.

Case Study 2 - Comparison between different plant's operating conditions (Area 1 exporting 300MW to Area 2).

With Area 1 exporting 300MW to Area 2, the parameters were re-calculated using the load flow analysis and then programmed into the system model in the MATLAB workspace. In this case, the area exportation is decreased from one area to another. Hence, the following discussions were made based on the waveforms generated on the parameters of the plant.

Discussions:

1. System model tend to reach its steady-state faster at the dynamic period, that is the post-fault period.
2. Plant returns to the normal operating condition faster, leading to a rise in the overall efficiency of the plant when there are lesser fluctuations in the dynamic period.

Case Study 3 - Comparison between the plant's performances when different controllers are implemented into the system.

In this case study, a comparison between the various responses of the plant model is carried out when the system is operating with Area 1 exporting 400MW to Area 2, with a three-phase fault (most commonly occurring fault) applied at Busbar 10 and subjected to four different conditions:

1. No controller is implemented into the system model.
2. A PID controller is implemented into the system model.
3. A LQG controller is implemented into the system model.
4. A P+LQG+D controller is implemented into the system model.

From the results obtained on the four different conditions, several observations were noted and discussions were made.

Discussions:

1. LQG controller proves to be the best controller to improve the mechanical power output performances of the plant during the dynamic period.
2. PID controller proves to be the best controller to improve the electrical power output, the speed responses and the rotor responses of the plant during the transient period.
3. PID controller creates large fluctuations in the mechnical power output response of G4.
4. In general, LQG controller has proven to be the best controller to achieve a better steady-state response during the dynamic period.
5. P+LQG+D controller uses an LQG controller to replace the Derivative gain and thus, it will not alter the steady-state values of all the variables within the plant model but rather alter the transient behaviours of the plant model only.
6. P+LQG+D controller has no effect on the operating conditions of the plant.
7. P+LQG+D controller has also proven to be the best controller in shortening the transient period the plant without altering the steady-state values and the operating conditon of the system.