Smart Energy Management Integrating WECS with Intelligent Control Technique for Grid and HVDC Technologies

The optimal use of electrical resources is crucial in an era characterized by rising energy needs and a pressing need for sustainability. Power quality and the integration of renewable energy sources are increasingly top priorities in modern grid systems. The integration of renewable energy sources, particularly Wind energy conversion systems (WECS), into the present power grid is transforming the energy landscape since we are consuming less traditional fossil fuel. Notwithstanding, there are certain obstacles associated with this shift, namely with regards to the grid's dependability and quality of power. The goal of this project is to maximize electricity generation and distribution from renewable sources by proposing a complete system of renewable energy integration. To enhance grid stability and energy efficiency, this system makes use of wind energy technologies. The outputs from various renewable energy sources converge and are coupled to the alternating current (AC) grid system at a coupling point. In order to maximize wind energy source performance and achieve grid synchronization, grid side inverter control techniques are applied through the use of ANN controllers, which provide smooth interaction with the grid. At this stage, grid integration and high-voltage direct current (HVDC) transmission are made easier with the introduction of a Modular Multilevel Converter (MMC). This increases the resilience and flexibility of the grid by enabling the system to function as both an HVDC system and a smart grid management system. This initiative opens the door for the wider adoption of clean and sustainable energy solutions while also advancing technology related to renewable energy. ANN Controller has a THD Value of 1.42% when the controllers are compared and overall efficiency of the paper is 92%.

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Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1109/iccpct61902.2024.10672948
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Smart Energy Management Integrating WECS with Intelligent Control Technique for Grid and HVDC Technologies

B. Dilliprasath, S. Prakash
Microgrid Control and Optimization
article

Smart Energy Management Integrating WECS with Intelligent Control Technique for Grid and HVDC Technologies

B. Dilliprasath, S. Prakash
article en

Abstract

The optimal use of electrical resources is crucial in an era characterized by rising energy needs and a pressing need for sustainability. Power quality and the integration of renewable energy sources are increasingly top priorities in modern grid systems. The integration of renewable energy sources, particularly Wind energy conversion systems (WECS), into the present power grid is transforming the energy landscape since we are consuming less traditional fossil fuel. Notwithstanding, there are certain obstacles associated with this shift, namely with regards to the grid's dependability and quality of power. The goal of this project is to maximize electricity generation and distribution from renewable sources by proposing a complete system of renewable energy integration. To enhance grid stability and energy efficiency, this system makes use of wind energy technologies. The outputs from various renewable energy sources converge and are coupled to the alternating current (AC) grid system at a coupling point. In order to maximize wind energy source performance and achieve grid synchronization, grid side inverter control techniques are applied through the use of ANN controllers, which provide smooth interaction with the grid. At this stage, grid integration and high-voltage direct current (HVDC) transmission are made easier with the introduction of a Modular Multilevel Converter (MMC). This increases the resilience and flexibility of the grid by enabling the system to function as both an HVDC system and a smart grid management system. This initiative opens the door for the wider adoption of clean and sustainable energy solutions while also advancing technology related to renewable energy. ANN Controller has a THD Value of 1.42% when the controllers are compared and overall efficiency of the paper is 92%.

Vol. 71
Vinayaka Missions University (IN)
Affordable and clean energy
Openalex Percentile: Top 82%
Microgrid Control and Optimization
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