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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) |
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| Paper Title: | A MODIFIED METHOD OF MODEL PREDICTIVE CONTROL FOR VEHICLE-TO-GRID APPLICATION |
| Authors Name: | Mr. YOGARAJA. N , Dr. M. RAMASAMY |
| Download E-Certificate: | Download |
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IJNRD_192556
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| Published Paper Id: | IJNRD2304519 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | The projected market share of renewable energy sources poses a challenge. A contemporary, energy system on renewable energy and electric transportation is replacing one based on fossil fuels. New control methods are required because to the intermittent, stochastic, dispersed nature of the generation as well as the innovative consumption patterns. This study first proposes an adaptive model-based receding horizon control approach to solve the issues with the energy management system (EMS) in micro-grid operations. For the optimum operation of the micro-grid powered by renewable energy, the major objective of the EMS is to balance power generation and demand through energy storage. While the output of electrical energy used to be regulated to match consumer demand. This method main concern is that sustainable energy sources do not permit for, this method looks at managing the demand side of energy production using a demand response system and model predictive controller in addition to managing the generation of power. Control is implemented at the level. This approach explains both the fundamental ideas behind this so-called model predictive control (MPC). This issue is being tested using MATLAB to assess the effects of different limits and settings. The application's modular structure makes it a good platform for further model predictive control-based vehicle to grid. In this case study, a model predictive controller is used to simulate a V2G in Mat-lab for each power flow system. |
| Keywords: | Model predictive control (MPC); bidirectional AC-DC converter; vehicle-to-grid (V2G); electric vehicle (EV). |
| Cite Article: | "A MODIFIED METHOD OF MODEL PREDICTIVE CONTROL FOR VEHICLE-TO-GRID APPLICATION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.f195-f199, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304519.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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Published Paper ID:IJNRD2304519 Registration ID: 192556 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: f195-f199 Country: CUDDALORE, TAMIL NADU, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304519 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304519 |
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ISSN: 2456-4184
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