Stability Enhancement of HVDC System using Fuzzy based STATCOM

Ramesh, M.; Swathi, I.; Laxmi, A. Jaya

doi:10.1016/j.aasri.2012.09.036

Cited by 2 publications

(2 citation statements)

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“…Fuzzy-based STATCOM has been used to evaluate voltage stability in a heavily loaded HVDC system [57]. Based on the results of a model and simulation analysis, fuzzy control of static VAR compensators was developed by Chang & Qizhi [58].…”

Section: -Artificial Intelligent Control Of Hvdc Systemmentioning

confidence: 99%

Artificial Intelligence-based Control Techniques for HVDC Systems

Abdulwahid

2023

Emerg Sci J

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The electrical energy industry depends, among other things, on the ability of networks to deal with uncertainties from several directions. Smart-grid systems in high-voltage direct current (HVDC) networks, being an application of artificial intelligence (AI), are a reliable way to achieve this goal as they solve complex problems in power system engineering using AI algorithms. Due to their distinctive characteristics, they are usually effective approaches for optimization problems. They have been successfully applied to HVDC systems. This paper presents a number of issues in HVDC transmission systems. It reviews AI applications such as HVDC transmission system controllers and power flow control within DC grids in multi-terminal HVDC systems. Advancements in HVDC systems enable better performance under varying conditions to obtain the optimal dynamic response in practical settings. However, they also pose difficulties in mathematical modeling as they are non-linear and complex. ANN-based controllers have replaced traditional PI controllers in the rectifier of the HVDC link. Moreover, the combination of ANN and fuzzy logic has proven to be a powerful strategy for controlling excessively non-linear loads. Future research can focus on developing AI algorithms for an advanced control scheme for UPFC devices. Also, there is a need for a comprehensive analysis of power fluctuations or steady-state errors that can be eliminated by the quick response of this control scheme. This survey was informed by the need to develop adaptive AI controllers to enhance the performance of HVDC systems based on their promising results in the control of power systems. Doi: 10.28991/ESJ-2023-07-02-024 Full Text: PDF

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Section: -Artificial Intelligent Control Of Hvdc Systemmentioning

confidence: 99%

Artificial Intelligence-based Control Techniques for HVDC Systems

Abdulwahid

2023

Emerg Sci J

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“…HVDC and FACTS are controlled by fuzzy systems with very good results (Ramesh et al [237]). Ghahremani and Kamwa [238] present a graphical user interface based on a genetic algorithm, to easily locate the FACTS.…”

Section: Factsmentioning

confidence: 99%

A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids

Hernández-Callejo

2019

Energies

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New technological advances based on software, hardware and new materials must be implemented in smart grids. In addition, these advanced electrical grids must incorporate elements of artificial intelligence. Advances in software development must be complemented with the development of new hardware (power electronics and active distribution among others). The aforementioned must rely on the development of new materials and sensors, which should be integrated into the smart grid. Therefore, the four areas of research based on the technologies are: Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering. The review presents the algorithms, materials, devices and others paradigms applied to smart grids, classifying the works according to the four areas of research. This review has focused on the four fundamental pillars of smart grids, on the one hand, the need for more efficient operation and control, followed by advanced maintenance management, to continue planning and designing the new grids, and for conclude with the advanced measurement. As you will see in the article, new devices, new techniques, and future scenarios will make possible the transition from the current grid to the future smart grid.

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Stability Enhancement of HVDC System using Fuzzy based STATCOM

Cited by 2 publications

References 4 publications

Artificial Intelligence-based Control Techniques for HVDC Systems

Artificial Intelligence-based Control Techniques for HVDC Systems

A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids

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