Paper Title
Lightning Search Algorithm Controlled Grid Integrated Hybrid Distributed Generation System
Article Identifiers
Authors
Rohith Jupelly , Vamshi Suthari , Zeeshan Mohammed , Nikhil Dusari , Sri Sai Aniruth Bathula,Praveen Kumar Thallapally
Keywords
Battery, FC, WT, PV, HRES, ANN, RNN, LSA, CMBSANN, power flow, active and reactive power control strategy
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.
Downloads
How To Cite (APA)
Rohith Jupelly , Vamshi Suthari, Zeeshan Mohammed, Nikhil Dusari, & Sri Sai Aniruth Bathula,Praveen Kumar Thallapally (April-2024). Lightning Search Algorithm Controlled Grid Integrated Hybrid Distributed Generation System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), i208-i216. https://ijnrd.org/papers/IJNRD2404826.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : i208-i216
Other Publication Details
Paper Reg. ID: IJNRD_220169
Published Paper Id: IJNRD2404826
Downloads: 000121982
Research Area: Electrical EngineeringÂ
Country: Hanumakonda, Telangana, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404826.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404826
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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
Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.
Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Oct-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details
