Modeling and Control of Automatic Generation Control of Upper Trishuli 3A Hydropower Plant.
Date
2024-06
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
I.O.E
Abstract
With rising load demand resulting in mismatches between load and generation, simply producing electrical power is insufficient, particularly with today's sophisticated power systems. These mismatches generate changes in the frequency of the power system, rendering it unstable. Restoring the frequency to its normal value quickly is a critical and difficult operation. This task is managed by Automatic Generation Control (AGC), which is critical to preserving the power system's stability and reliability.
This effort comprises modeling and control of AGC to reduce the frequency response settling time of the Upper Trishuli 3A (UT3A) hydropower plant, which is linked to the INPS in a double-area power system. Four scenarios are explored based on step load input to the system, using different controllers: PID, PSO-tuned SSSC, FLC, and ANFIS, with the goal of minimizing the Area Control Error (ACE) and stabilizing the frequency response of the UT3A hydropower plant under the AGC model. Among these controllers, ANFIS has been shown to be the most successful at reducing the frequency response settling time to its minimum value. This approach also addresses frequency instability, which can cause system breakdowns owing to synchronization failures in networked systems.
Description
This effort comprises modeling and control of AGC to reduce the frequency response settling time of the Upper Trishuli 3A (UT3A) hydropower plant, which is linked to the INPS in a double-area power system. Four scenarios are explored based on step load input to the system, using different controllers: PID, PSO-tuned SSSC, FLC, and ANFIS, with the goal of minimizing the Area Control Error (ACE) and stabilizing the frequency response of the UT3A hydropower plant under the AGC model.
Keywords
Automatic Generation Control (AGC), power system, Area Control Error (ACE)