IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i23p8909-d983843.html
   My bibliography  Save this article

Adaptive Least Mean Square Controller for Power Quality Enhancement in Solar Photovoltaic System

Author

Listed:
  • Nalini Karchi

    (Department of Electrical and Electronics Engineering, Gogte Institute of Technology, Belagavi 590006, India
    Department of Electrical and Electronics Engineering, KLE Dr. M.S. Sheshgiri College of Engineering & Technology, Belagavi 590008, India)

  • Deepak Kulkarni

    (Department of Electrical and Electronics Engineering, Gogte Institute of Technology, Belagavi 590006, India)

  • Rocío Pérez de Prado

    (Telecommunication Engineering Department, University of Jaén, 23700 Jaén, Spain)

  • Parameshachari Bidare Divakarachari

    (Department of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology, Bangalore 560064, India)

  • Sujata N. Patil

    (Department of Electronics & Communication Engineering, KLE Dr. M.S. Sheshgiri College of Engineering & Technology, Belagavi 590008, India)

  • Veena Desai

    (Department of Electronics and Communication Engineering, Gogte Institute of Technology, Belagavi 590006, India)

Abstract

The objective of the proposed work is to develop a Maximum Power Point Tracking (MPPT) controller and inverter controller by applying the adaptive least mean square (LMS) algorithm to control the total harmonics distortion of a solar photovoltaic system. The advantage of the adaptive LMS algorithm is given by its simplicity and reduced required computational time. The adaptive LMS algorithm is applied to modify the Perturb and Observe (P&O), MPPT controller. In this controller, the adaptive LMS algorithm is used to predict solar photovoltaic power. The adaptive LMS maximum power point tracking controller gives better optimal solutions with less steady error 0.7% (6 watts) and 0% peak overshot in power with the tradeoff being more settling time at 0.33 s. The development of the inverter control law is performed using the d-q frame theory. This helps to reduce the number of equations to build a control law. The load current, grid current and grid voltage are sensed and transformed into d and q components. This adaptive LMS control law is used to extract the reference grid currents and, later, to compare them with the actual grid currents. The result of this comparison is used to generate the switching gate pulses for the inverter switches. The proposed controllers are developed and implemented with a solar PV system in MATLAB Simulink. The total harmonics distortion in grid and load current (3.25% and 7%) and voltage (0%) is investigated under linear and non-linear load conditions with changes in solar irradiations. The analysis is performed by selecting step incremental values and sampling time.

Suggested Citation

  • Nalini Karchi & Deepak Kulkarni & Rocío Pérez de Prado & Parameshachari Bidare Divakarachari & Sujata N. Patil & Veena Desai, 2022. "Adaptive Least Mean Square Controller for Power Quality Enhancement in Solar Photovoltaic System," Energies, MDPI, vol. 15(23), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8909-:d:983843
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/23/8909/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/23/8909/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chu Donatus Iweh & Samuel Gyamfi & Emmanuel Tanyi & Eric Effah-Donyina, 2021. "Distributed Generation and Renewable Energy Integration into the Grid: Prerequisites, Push Factors, Practical Options, Issues and Merits," Energies, MDPI, vol. 14(17), pages 1-34, August.
    2. Julie Viloria-Porto & Carlos Robles-Algarín & Diego Restrepo-Leal, 2018. "A Novel Approach for an MPPT Controller Based on the ADALINE Network Trained with the RTRL Algorithm," Energies, MDPI, vol. 11(12), pages 1-17, December.
    3. Houda Brahmi & Rachid Dhifaoui & Chun Wei, 2021. "A Study of a DC/AC Conversion Structure for Photovoltaic System Connected to the Grid with Active and Reactive Power Control," Complexity, Hindawi, vol. 2021, pages 1-11, July.
    Full references (including those not matched with items on IDEAS)

    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. Yousef Alharbi & Ahmed Darwish & Xiandong Ma, 2023. "A Comprehensive Review of Distributed MPPT for Grid-Tied PV Systems at the Sub-Module Level," Energies, MDPI, vol. 16(14), pages 1-23, July.
    2. Gustavo Adolfo Gómez-Ramírez & Carlos Meza & Gonzalo Mora-Jiménez & José Rodrigo Rojas Morales & Luis García-Santander, 2023. "The Central American Power System: Achievements, Challenges, and Opportunities for a Green Transition," Energies, MDPI, vol. 16(11), pages 1-20, May.
    3. Rob Shipman & Rebecca Roberts & Julie Waldron & Chris Rimmer & Lucelia Rodrigues & Mark Gillott, 2021. "Online Machine Learning of Available Capacity for Vehicle-to-Grid Services during the Coronavirus Pandemic," Energies, MDPI, vol. 14(21), pages 1-16, November.
    4. Servín-Campuzano, Hermelinda & Domínguez-Pérez, Valeria Monserrat & Marín-Mendoza, Pablo César & Panales-Pérez, Alexander & Fuentes-Cortés, Luis Fabián, 2024. "The role of storage in energy security performance based on diversification and concentration for distributed energy systems," Renewable Energy, Elsevier, vol. 229(C).
    5. Piotr Powroźnik & Paweł Szcześniak & Krzysztof Piotrowski, 2021. "Elastic Energy Management Algorithm Using IoT Technology for Devices with Smart Appliance Functionality for Applications in Smart-Grid," Energies, MDPI, vol. 15(1), pages 1-23, December.
    6. Wassim Daher & Jihad Elnaboulsi & Mahelet G. Fikru & Luis Gautier, 2024. "An Analysis of Mergers in the Presence of Uncertainty in Renewable Energy Integration Costs," Working Papers 2024-14, CRESE.
    7. Ayuketah, Yvan & Gyamfi, Samuel & Diawuo, Felix Amankwah & Dagoumas, Athanasios S., 2023. "A techno-economic and environmental assessment of a low-carbon power generation system in Cameroon," Energy Policy, Elsevier, vol. 179(C).
    8. Joel Alpízar-Castillo & Laura Ramirez-Elizondo & Pavol Bauer, 2022. "Assessing the Role of Energy Storage in Multiple Energy Carriers toward Providing Ancillary Services: A Review," Energies, MDPI, vol. 16(1), pages 1-31, December.
    9. Mikhail V. Kozhevnikov & Artem A. Dvinyaninov & Nikita G. Sapozhnikov, 2024. "Institutional barriers to the development of small-scale power generation in Russia," Journal of New Economy, Ural State University of Economics, vol. 25(1), pages 110-130, April.
    10. Marwen Bjaoui & Brahim Khiari & Ridha Benadli & Mouad Memni & Anis Sellami, 2019. "Practical Implementation of the Backstepping Sliding Mode Controller MPPT for a PV-Storage Application," Energies, MDPI, vol. 12(18), pages 1-22, September.
    11. Rehan, Mohammad & Amir Raza, Muhammad & Ghani Abro, Abdul & M Aman, M. & Mohammad Ibrahim Ismail, Iqbal & Sattar Nizami, Abdul & Imtiaz Rashid, Muhammad & Summan, Ahmed & Shahzad, Khurram & Ali, Nadee, 2023. "A sustainable use of biomass for electrical energy harvesting using distributed generation systems," Energy, Elsevier, vol. 278(PB).
    12. Oscar Danilo Montoya & Francisco David Moya & Arul Rajagopalan, 2022. "Annual Operating Costs Minimization in Electrical Distribution Networks via the Optimal Selection and Location of Fixed-Step Capacitor Banks Using a Hybrid Mathematical Formulation," Mathematics, MDPI, vol. 10(9), pages 1-14, May.
    13. Young-Maan Cho & Hyun-Jong Park & Jae-Jun Lee & Kun-A Lee, 2022. "Analysis of Characteristics of Low Voltage Circuit Breaker by External Magnetic Field," Energies, MDPI, vol. 15(21), pages 1-15, November.
    14. Hameedullah Zaheb & Mikaeel Ahmadi & Nisar Ahmad Rahmany & Mir Sayed Shah Danish & Habibullah Fedayi & Atsushi Yona, 2023. "Optimal Grid Flexibility Assessment for Integration of Variable Renewable-Based Electricity Generation," Sustainability, MDPI, vol. 15(20), pages 1-24, October.
    15. Mohsin Shahzad & Arsalan Qadir & Noman Ullah & Zahid Mahmood & Naufal Mohamad Saad & Syed Saad Azhar Ali, 2022. "Optimization of On-Grid Hybrid Renewable Energy System: A Case Study on Azad Jammu and Kashmir," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    16. Anju Yadav & Nand Kishor & Richa Negi, 2023. "Bus Voltage Violations under Different Solar Radiation Profiles and Load Changes with Optimally Placed and Sized PV Systems," Energies, MDPI, vol. 16(2), pages 1-23, January.
    17. Anna Ostrowska & Łukasz Michalec & Marek Skarupski & Michał Jasiński & Tomasz Sikorski & Paweł Kostyła & Robert Lis & Grzegorz Mudrak & Tomasz Rodziewicz, 2022. "Power Quality Assessment in a Real Microgrid-Statistical Assessment of Different Long-Term Working Conditions," Energies, MDPI, vol. 15(21), pages 1-26, October.
    18. Wassim Daher & Jihad Elnaboulsi & Mahelet G Fikru & Luis Gautier, 2024. "An Analysis of Mergers in the Presence of Uncertainty in Renewable Energy Integration Costs," Working Papers hal-04682056, HAL.
    19. Ashraf Ramadan & Mohamed Ebeed & Salah Kamel & Ahmed M. Agwa & Marcos Tostado-Véliz, 2022. "The Probabilistic Optimal Integration of Renewable Distributed Generators Considering the Time-Varying Load Based on an Artificial Gorilla Troops Optimizer," Energies, MDPI, vol. 15(4), pages 1-22, February.
    20. Pasquale Marcello Falcone, 2023. "Sustainable Energy Policies in Developing Countries: A Review of Challenges and Opportunities," Energies, MDPI, vol. 16(18), pages 1-19, September.

    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:gam:jeners:v:15:y:2022:i:23:p:8909-:d:983843. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.