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Design of Automatic Generation Control of Two Area System Using MATLAB SIMULINK

Design of Automatic Generation Control of Two Area System Using MATLAB SIMULINK

In the ever-evolving landscape of power systems, the efficient control and management of energy generation play a pivotal role. Automatic Generation Control (AGC) emerges as a critical solution, particularly in interconnected power systems. This article will delve into the intricacies of designing AGC for a Two Area System using MATLAB SIMULINK, exploring the steps, challenges, and future trends in this essential aspect of power system engineering


System Description:

  1. The block diagram illustrates two areas, each with a governor turbine and a rotating mass with a load, also known as a generator model.

  2. The tie line connects the two areas, and the output of Area 1 is subtracted from the output of Area 2.

  3. The tie line connection is represented by a transfer function, acting as a phase-shifting integrator.

Model Creation:

  1. Transfer functions are established for governor turbine and generator load models.

  2. Summing blocks are used to process changes in load power and power reference for the governor turbine in each area.

  3. The entire system is represented with transfer functions, summing blocks, and gains.

Simulation:

  1. The simulation involves creating two areas with distinct transfer functions and coefficients.

  2. The response of parameters like Omega, pm1, pm2, and P12 (tie line power) is observed over time.

Integration Controller Logic:

  1. Integration controllers are introduced to maintain a change in frequency (Delta Omega) equal to zero.

  2. A new summing block, integration block, and gain block are added to the existing model.

  3. The response of the system is observed with the integration controller in place.

Conclusion: The design of the automatic generation control system for a two-area power system is successfully demonstrated using MATLAB. The integration controller helps maintain frequency stability in the system.

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