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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM27930
Volume:
8 |
1 |
Jan 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In recent years, the electrical power industry has faced numerous challenges due to technological advancements, leading to the expansion of manufacturing and product-based firms. This growth has resulted in an escalating power demand that surpasses the available supply. The efficiency of the power system is significantly affected by two crucial factors: damping and frequency oscillation, as every unit of load increase linearly impacts efficiency. To address these challenges, Flexible AC Transmission System (FACTS) technology has emerged as a concept focusing on active and reactive power control monitoring to enhance the operation of electrical power system networks. This study employs Flexible AC Transmission Systems (FACTS) to approximate the functioning of stable power system networks. Developed by the Electric Power Research Institute (EPRI), FACTS utilizes various power electronic devices to effectively regulate power flow. Key components of FACTS technology encompass high-power electronics, diverse thyristor devices, microelectronics, communications, and intricate control actions. To validate the proposed system, soft computing techniques such as Fuzzy Logic, Genetic Algorithm, BAT algorithm, and Artificial Neural Network concepts are employed. These techniques are utilized to fine-tune the settings of a grid-connected multiline system generating renewable energy. A Simulink model is constructed and analyzed using soft computing approaches to assess the potential of a grid-connected power flow controller in a multi-line power system. The obtained results are then compared with established methods for enhancing performance characteristics.
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Publication Date
12/31/45298
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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