ASSESSMENT OF THE IMPACT OF GRID-CONNECTED PHOTOVOLTAIC SYSTEMS ON POWER QUALITY INDICATORS

ASSESSMENT OF THE IMPACT OF GRID-CONNECTED PHOTOVOLTAIC SYSTEMS ON POWER QUALITY INDICATORS | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. Published May 11, 2026 | Version v1 Journal article Open ASSESSMENT OF THE IMPACT OF GRID-CONNECTED PHOTOVOLTAIC SYSTEMS ON POWER QUALITY INDICATORS Authors/Creators Raximberdiyev, Sardorbek (Editor) 1 Boixanov, Zailobiddin (Editor) 2 Show affiliations 1.

Master's Student 2.

PhD, Associate Professor Andijan State Technical Institute, Andijan, Uzbekistan Description This paper assesses the impact of grid-connected photovoltaic (PV) panels on electric power quality in low-voltage distribution networks with growing inverter-based resources. The objective is to quantify variations in voltage magnitude, harmonic distortion, flicker severity, and power factor across realistic operating conditions and to identify the technical mechanisms that most frequently trigger noncompliance. The methodology integrates an analytical representation of inverter current injection, time-series simulations driven by measured irradiance and load profiles, and a compliance-oriented evaluation of power quality indicators used in distribution engineering. A comparative scenario design is applied across PV penetration levels, feeder impedances, and inverter control modes. The scientific novelty lies in an integrated assessment framework that explicitly couples inverter controls and network strength to a coherent set of quality metrics, enabling sensitivity ranking and targeted mitigation planning. The findings inform coordinated PV interconnection, voltage regulation, and harmonic management to preserve acceptable customer supply quality. Files 999-1004.pdf Files (222.7 kB) Name Size Download all 999-1004.pdf md5:457885498f289df0c49627ffa83e91fc 222.7 kB Preview Download Additional details References 1. IEEE Std 519-2022. IEEE Recommended Practice and Requirements for Harmonic Control in Electric Power Systems. New York: IEEE; 2022. 194 p. 2. Bollen M. H. J.; Hassan F. Integration of Distributed Generation in the Power System. Hoboken: John Wiley and Sons; 2011. 352 p. 3. Arrillaga J.; Watson N. R. Power System Harmonics. 3rd ed. Chichester: John Wiley and Sons; 2003. 416 p. 4. Oldewurtel F.; Ulbig A.; Parisio A.; Andersson G. Reducing PV-induced voltage and flicker issues by coordinated control. Electric Power Systems Research. Amsterdam: Elsevier; 2013. P. 11-19. 5. GOST 32144-2013. Electric energy. Electromagnetic compatibility of technical equipment. Power quality limits in public power supply systems. Moscow: Standartinform; 2014. 20 p. 41 Views 20 Downloads Show more details All versions This version Views Total views 41 41 Downloads Total downloads 20 20 Data volume Total data volume 5.6 MB 5.6 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords photovoltaic systems; power quality; harmonic distortion; voltage fluctuation; flicker; inverter control; distribution networks Details DOI DOI Badge DOI 10.5281/zenodo.20118877 Markdown [](https://doi.org/10.5281/zenodo.20118877) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.20118877.svg :target: https://doi.org/10.5281/zenodo.20118877 HTML <a href="https://doi.org/10.5281/zenodo.20118877"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.20118877.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.20118877.svg Target URL https://doi.org/10.5281/zenodo.20118877 Resource type Journal article Publisher Zenodo Published in International journal of artificial intelligence, 6(5), 999-1004, ISSN: 2692-515-X, 2026. Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created May 11, 2026 Modified May 11, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

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