Modeling and Control of Automatic Generation Control of Upper Trishuli 3A Hydropower Plant.

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dc.contributor.advisorAdhikari, Sujan
dc.contributor.authorYADAV, NARENDRA
dc.date.accessioned2024-08-14T09:58:25Z
dc.date.available2024-08-14T09:58:25Z
dc.date.issued2024-06
dc.descriptionThis 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.
dc.description.abstractWith 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.
dc.description.provenanceSubmitted by Govind Bist (govind.bist@ncc.tu.edu.np) on 2024-08-14T09:58:25Z No. of bitstreams: 1 Narendra Yadav Master thesis electrical engineering power system june 2024.pdf: 8688249 bytes, checksum: 892879aa12c61a021075c159c77a1890 (MD5)en
dc.description.provenanceMade available in DSpace on 2024-08-14T09:58:25Z (GMT). No. of bitstreams: 1 Narendra Yadav Master thesis electrical engineering power system june 2024.pdf: 8688249 bytes, checksum: 892879aa12c61a021075c159c77a1890 (MD5) Previous issue date: 2024-06en
dc.identifier.urihttps://hdl.handle.net/20.500.14540/22701
dc.language.isoen
dc.publisherI.O.E
dc.subjectAutomatic Generation Control (AGC)
dc.subjectpower system
dc.subjectArea Control Error (ACE)
dc.titleModeling and Control of Automatic Generation Control of Upper Trishuli 3A Hydropower Plant.
dc.typeThesis
local.academic.levelMasters
local.institute.titleInstitute of Engineering
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