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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM24907
Volume:
7 |
8 |
Aug 2023
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.
Now-a-days Renewable energy sources have arisen as a viable alternative to fill the ever-increasing need for power. This is due to the fact that renewable energy sources are less damaging to the environment and can be found abundantly in nature. Because there is an abundance of solar power available, the photovoltaic (PV) system is becoming increasingly popular in the field of alternative energy sources. This is due to the fact that PV systems produce electricity directly from sunlight. A method known as the Maximum Power Point Tracking Technique is applied in photovoltaic (PV) arrays in order to extract the maximum amount of power possible from the modules. When it is necessary to transport a significant amount of power from a PV Array to the power grid, there are a number of power quality problems that need to be addressed. These concerns must be solved before the power can be moved. The challenges with the actual and reactive power flow are of special concern. When solar arrays are linked to the electrical grid, there will almost certainly be issues with the quality of the electricity produced. The purpose of this study is to address these issues and manage the flow of power by presenting a novel control strategy that has the latter as its primary focus. It is composed of a Fuzzy-GA based Cascaded Controller fed Flexible AC Transmission System device that is known as the Unified Power Flow Controller. This allows for efficient management of actual and reactive power flow in grid-connected solar systems. The output of the Fuzzy Logic Controller will be a control vector, and the Genetic Algorithm method will be applied in order to fine-tune this vector.
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Publication Date
4/7/2023
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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