INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Once Dynamic Voltage Restorer knows the precise voltage quality level that the customer needs, they has the ability to offer the least expensive method of reducing voltage dips. The distribution feeder and the DVR are connected in series at medium voltage. One typical method of controlling DVRs is via the PI controller. The traditional controller relies on fixed gains, namely the THD, to lower the THD, which is a restriction of the controller. It is possible to operate a DVR using an ANN. Based on PI and ANN Controller, this work investigates the compensation notion and various DVR control methods. A constant load voltage may be achieved by injecting voltage into the DVR, as shown in comprehensive studies and MATLAB/Simulink simulations.
Keywords:
Dynamic Voltage Restorer, PI Controller, Neural Network Controller
Cite Article:
"Enhancement of Power Quality Using Artificial Neural Networks to Implement a Dynamic Voltage Restorer", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.e778-e788, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404480.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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