Bidirectional Power Flow Control Using Phase Shifting Transformer in Multi-Source Systems
In recent years, the use of electrical energy has significantly increased. To meet the growing demand, new generating units have been installed across the country, accompanied by the establishment of extensive transmission networks to deliver this power to the grid, which supplies various loads. Ad...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
The University of Lahore
2025-07-01
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| Series: | Pakistan Journal of Engineering & Technology |
| Subjects: | |
| Online Access: | https://journals.uol.edu.pk/pakjet/article/view/3387 |
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| Summary: | In recent years, the use of electrical energy has significantly increased. To meet the growing demand, new generating units have been installed across the country, accompanied by the establishment of extensive transmission networks to deliver this power to the grid, which supplies various loads. Additionally, grids have been interconnected to enhance the reliability and availability of electrical power. In an interconnected electrical network, uneven loading can affect total power transmission from generation to consumer being lower than expected, which results in the utilization of transmission lines is not optimal. To manage energy congestion and enhance voltage stability, it is crucial to have control over power flow. This research introduces a technique to manage power flow using a Phase Shifting Transformer (PST) to boost the overall transfer capacity of the transmission lines and avoid overloading in the grid. The PST controls power flow by adjusting the phase angle of the voltage system. The study includes a MATLAB Simulink model of a power system, implementing PST for power flow control in multiple power plants. It also delves into enhancements in the system's response to short-term changes and investigates the impact of varying loads. The results indicate that PSTs can effectively optimize power distribution, diminishing the likelihood of line overload. Furthermore, the model demonstrates improved system stability and dependability across different load scenarios.
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| ISSN: | 2664-2042 2664-2050 |