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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: | Lightning Search Algorithm Controlled Grid Integrated Hybrid Distributed Generation System |
| Authors Name: | Rohith Jupelly , Vamshi Suthari , Zeeshan Mohammed , Nikhil Dusari , Sri Sai Aniruth Bathula,Praveen Kumar Thallapally |
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IJNRD_220169
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| Published Paper Id: | IJNRD2404826 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | This paper elucidates the optimal control strategy for Hybrid Renewable Energy Systems (HRES), employing the Parallel Execution of Lightning Search Algorithm combined with Artificial Neural Network and Recurrent Neural Network (PLSANN). The control strategy of HRES addresses issues related to power quality (PQ) disturbances. The envisioned system integrates Photovoltaic (PV), Wind Turbine (WT), Fuel Cell (FC), and Battery components, interconnected via a DC link to effectively manage both the powers (real & reactive). The integration of wind/PV power into the grid is identified as a source of PQ disturbances, prompting the investigation into compensation policies for DC/DC converters using PLSANN/RNN techniques for optimal power flow management. The Lightning Search Algorithm (LSA) optimizes real power based on controller gain parameters, while the Recurrent Neural Network (RNN) facilitates the optimization of reactive power management. The proposed approach identifies the optimal control signals for DC/DC converters, considering both source and load constraints. This system not only injects active power into the grid but also improves PQ conditions. Through precise control mechanisms, HRES significantly enhances the dynamic security of the power system. By using MATLAB/Simulink the proposed methodology is implemented & evaluated, with performance analysis conducted based on statistical metrics such as mean, median, and standard deviation. A comparative analysis with existing methods including CMBSNN, Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and PI controller is performed to validate the effectiveness of the proposed approach. |
| Keywords: | Battery, FC, WT, PV, HRES, ANN, RNN, LSA, CMBSANN, power flow, active and reactive power control strategy |
| Cite Article: | "Lightning Search Algorithm Controlled Grid Integrated Hybrid Distributed Generation System", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.i208-i216, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404826.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:IJNRD2404826 Registration ID: 220169 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: i208-i216 Country: Hanumakonda, Telangana, India Research Area: Electrical Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404826 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404826 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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