Design of Automatic Generation Control of Two-Area System
System Overview:
The two-area system consists of two distinct areas, each with its own governor turbine and generator load model. These areas are connected via a tie line, allowing for power exchange between them. The output of Area 1 is subtracted from the output of Area 2 and processed through a summing junction and an integrator, forming the tie line connection. Each area receives changes in load power and power reference for the governor turbine.
Model Development:
We begin by creating transfer functions for the governor turbine and generator load model. Using the provided data, transfer functions are constructed and interconnected to represent the dynamics of the system. Summing blocks are used to combine signals, and integrators are employed to handle dynamic responses.
Simulation and Analysis:
With the model set up, we simulate the system's response to changes in input parameters. We observe the behavior of key variables such as generator speed (Omega), tie line power (PM), and tie line frequency (P12). The simulation provides insights into how the system responds to various load and reference changes.
Controller Integration:
To enhance system performance, an integral controller is introduced to maintain zero deviation in frequency change (Delta Omega). The controller is implemented using additional summing blocks, integrators, and gain blocks. The integration control ensures stability and accuracy in frequency regulation.
Result Verification:
After integrating the controller, we validate the model's performance through simulation. We ensure that the system maintains stable operation and accurate frequency control under different operating conditions. Adjustments may be made to ensure proper connectivity and alignment of components for accurate results.
Conclusion:
The design of automatic generation control for two-area systems is essential for maintaining grid stability and ensuring efficient power exchange between interconnected areas. Through MATLAB simulation, we can analyze and optimize control strategies to meet desired performance criteria.
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