IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/86668.html
   My bibliography  Save this paper

Modeling and Checking the Power Quality of High Pressure Sodium Vapor Lamp

Author

Listed:
  • Sadeghian, Ehsan

Abstract

High pressure sodium Vapor lamps due to long service life High Light, as the most comprehensive street lighting and industrial lighting Whose use is increasing day by day. One of the major drawbacks to these lamps is producing a lot of current harmonic. Therefore, check the Power Quality of these lamps becomes necessary. To check the quality of our lamps, it's necessary to express the exact model of these lamps. In this paper, we simulate a high-pressure lamp based on plasma physics equations. With this exact model, the power consumption of these lamps is considered by using THD and the results are compared with the standard values. In this paper, taking into account the magnetic ballast for a high-pressure sodium Vapor lamp, a precise simulation of these lamps was performed using the MATLAB / Simulink software.

Suggested Citation

  • Sadeghian, Ehsan, 2018. "Modeling and Checking the Power Quality of High Pressure Sodium Vapor Lamp," MPRA Paper 86668, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:86668
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/86668/1/MPRA_paper_86668.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nikolić, Vlastimir & Sajjadi, Shahin & Petković, Dalibor & Shamshirband, Shahaboddin & Ćojbašić, Žarko & Por, Lip Yee, 2016. "Design and state of art of innovative wind turbine systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 258-265.
    2. Rahmani, Fatemeh & Razaghian, Farhad & Kashaninia, Alireza, 2014. "High Power Two- Stage Class-AB/J Power Amplifier with High Gain and Efficiency," MPRA Paper 86867, University Library of Munich, Germany, revised May 2014.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rahmani, Fatemeh, 2018. "Electric Vehicle Charger Based on DC/DC Converter Topology," MPRA Paper 108310, University Library of Munich, Germany, revised 01 Jul 2018.
    2. Rahmani, Javad & Sadeghian, Ehsan & Dolatiary, Soheil, 2018. "Comparison between ideal and estimated pv parameters using evolutionary algorithms to save the economic costs," MPRA Paper 91708, University Library of Munich, Germany.
    3. Atuwo, Tamaraebi, 2018. "Application of Artificial Neural Networks in Cold Rolling Process," MPRA Paper 88520, University Library of Munich, Germany.
    4. Abolfazl Biglar Beigi, 2018. "Mathematical Analysis of Impact of Oil, Gold and Currency on Tehran Stock Exchange," Post-Print hal-02093480, HAL.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sirat, Ali Parsa, 2018. "Loss Minimization through the Allocation of DGs Considering the Stochastic Nature of Units," MPRA Paper 87636, University Library of Munich, Germany.
    2. Yusefi, Peyman & Ostad, Mohammad & Sadeqi, Abolfazl, 2019. "Building Management System for Supporting the repaired Building," MPRA Paper 98181, University Library of Munich, Germany.
    3. Rahmani, Javad & Sadeqi, Abolfazl & Ayeh Mensah, Dennis Nii, 2020. "Self-Healing in LTE networks with unsupervised learning techniques," MPRA Paper 99770, University Library of Munich, Germany, revised 21 Feb 2020.
    4. Atuwo, Tamaraebi, 2018. "Application of Artificial Neural Networks in Cold Rolling Process," MPRA Paper 88520, University Library of Munich, Germany.
    5. Abolfazl Biglar Beigi, 2018. "Mathematical Analysis of Impact of Oil, Gold and Currency on Tehran Stock Exchange," Post-Print hal-02093480, HAL.
    6. Kim, Dongwoo & Song, Kang Sub & Lim, Junyub & Kim, Yongchan, 2018. "Analysis of two-phase injection heat pump using artificial neural network considering APF and LCCP under various weather conditions," Energy, Elsevier, vol. 155(C), pages 117-127.
    7. Habibifar, Saeed & Kashaninia, Alireza & Farokhi, Fardad, 2017. "Robot path planning in a dynamic and unknown environment based on Colonial Competitive Algorithm (CCA) and fuzzy logic," MPRA Paper 92255, University Library of Munich, Germany, revised Sep 2017.
    8. Khorsandi Talab, Babak & Kordi, M, 2015. "An empirical study on employees’ theft behavior in insurance industry," MPRA Paper 99924, University Library of Munich, Germany.
    9. Mansoor, Muhammad & Mariun, Norman & Toudeshki, Arash & Abdul Wahab, Noor Izzri & Mian, Ahmad Umair & Hojabri, Mojgan, 2017. "Innovating problem solving in power quality devices: A survey based on Dynamic Voltage Restorer case (DVR)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1207-1216.
    10. Mostofi, Kasra Hossein & Kolbadi nezhad, Rooholla, 2016. "Evaluating the effect of upside and downside slope on flow hydraulic in cylindrical overflows by using Flow 3D software," MPRA Paper 91638, University Library of Munich, Germany.
    11. Calise, Francesco & Cappiello, Francesco Liberato & Cartenì, Armando & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2019. "A novel paradigm for a sustainable mobility based on electric vehicles, photovoltaic panels and electric energy storage systems: Case studies for Naples and Salerno (Italy)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 97-114.
    12. José Genaro González-Hernández & Rubén Salas-Cabrera, 2022. "Duty Cycle-Rotor Angular Speed Reverse Acting Relationship Steady State Analysis Based on a PMSG d–q Transform Modeling," Mathematics, MDPI, vol. 10(5), pages 1-17, February.
    13. Parandeh, Soheila & S Esmaeilzadeh, Nasim & Vaezi, Amir & Parandeh, Kimia & Bagheri, Ehsan, 2019. "Implementation of wampac security and stability improvement of power grids with systems," MPRA Paper 91806, University Library of Munich, Germany.
    14. Lin, Zhongwei & Chen, Zhenyu & Liu, Jizhen & Wu, Qiuwei, 2019. "Coordinated mechanical loads and power optimization of wind energy conversion systems with variable-weight model predictive control strategy," Applied Energy, Elsevier, vol. 236(C), pages 307-317.
    15. Xu, Jiuping & Liu, Tingting, 2020. "Technological paradigm-based approaches towards challenges and policy shifts for sustainable wind energy development," Energy Policy, Elsevier, vol. 142(C).
    16. Hamedi, Amirmasoud & Ketabdar, Milad & Fesharaki, Mohammad & Mansoori, Abbas, 2015. "Nappe flow regime energy loss in stepped chutes equipped with reverse inclined steps: experimental development," MPRA Paper 96176, University Library of Munich, Germany, revised Dec 2015.
    17. Sadeqi, Abolfazl & Rahmani, Javad & Habibifar, Saeed & Ammar Khan, Muhammad & Mudassir Munir, Hafiz, 2020. "Design method for two-Stage CMOS operational amplifier applying load/miller capacitor compensation," MPRA Paper 102931, University Library of Munich, Germany, revised 12 Mar 2020.
    18. Hajibabaei, Ehsan & Ghasmi, Alireza & Hosseini, Seyed Abbas, 2017. "Numerical Investigation of Head Frontal Velocity of nonconservative Dense Flows in Small Inclined Beds," MPRA Paper 88383, University Library of Munich, Germany, revised Jan 2017.
    19. Moghaddam, Amir Kamyab & Ketabdar, Milad & Amir Ahmadian, Sepideh & Hoseini, Pedram & Pishdadakhgari, Mohammadali, 2017. "Experimental survey of energy dissipation in nappe flow regime in stepped spillway equipped with inclined steps and sill," MPRA Paper 94690, University Library of Munich, Germany, revised Apr 2017.
    20. Mafi, Mehdi & Azizi, Habib & Yazdizadeh Alborz, Hamidreza, 2017. "A new model of free global positioning system using triple DME," MPRA Paper 92341, University Library of Munich, Germany, revised Jul 2017.

    More about this item

    Keywords

    High pressure sodium Vapor lamps; THD; magnetic ballast; MATLAB;
    All these keywords.

    JEL classification:

    • L68 - Industrial Organization - - Industry Studies: Manufacturing - - - Appliances; Furniture; Other Consumer Durables
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
    • L74 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Construction
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:86668. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.