IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i7p1730-d155714.html
   My bibliography  Save this article

Fuzzy Control for Smart PV-Battery System Management to Stabilize Grid Voltage of 22 kV Distribution System in Thailand

Author

Listed:
  • Kongrit Mansiri

    (School of Renewable Energy Technology, Naresuan University, Phitsanulok 65000, Thailand)

  • Sukruedee Sukchai

    (School of Renewable Energy Technology, Naresuan University, Phitsanulok 65000, Thailand)

  • Chatchai Sirisamphanwong

    (School of Renewable Energy Technology, Naresuan University, Phitsanulok 65000, Thailand)

Abstract

This paper presents a fuzzy logic based algorithm developed to bring smart functionality to an ordinary PV-battery system in order to maintain the grid voltage stability of the 22 kV distribution system in Thailand. This research focuses on minimizing grid voltage fluctuations by converting a typical PV system into a smart PV-battery system (SPVs-BSS). A SPVs-BSS will be able to control the electrical power from a PV system to maintain the grid voltage in case of unexpected events or emergencies. Grid support functions such as a variable reactive power control and active power control will be discussed, leading to strategies for charging and discharging the battery system in response to the status of grid voltage. Fuzzy Logic was used to develop this control algorithm, which is named the Voltage Stability Fuzzy Logic Algorithm (VSFL Algorithm). The methodology of this research consists of three parts. First, testing the grid inverter operated on grid support functions. Second, the VSFL algorithm was developed to manage both the grid inverter and the battery system. Third, a SPVs-BSS equipped with the VSFL algorithm was simulated by using DIgsilent PowerFactory software. Results showed that the SPVs-BSS equipped with the VSFL Algorithm successfully maintained grid voltage in target range.

Suggested Citation

  • Kongrit Mansiri & Sukruedee Sukchai & Chatchai Sirisamphanwong, 2018. "Fuzzy Control for Smart PV-Battery System Management to Stabilize Grid Voltage of 22 kV Distribution System in Thailand," Energies, MDPI, vol. 11(7), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1730-:d:155714
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/7/1730/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/7/1730/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Haque, M. Mejbaul & Wolfs, Peter, 2016. "A review of high PV penetrations in LV distribution networks: Present status, impacts and mitigation measures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1195-1208.
    2. Nan Zhou & Nian Liu & Jianhua Zhang & Jinyong Lei, 2016. "Multi-Objective Optimal Sizing for Battery Storage of PV-Based Microgrid with Demand Response," Energies, MDPI, vol. 9(8), pages 1-24, July.
    3. Patsalides, Minas & Efthymiou, Venizelos & Stavrou, Andreas & Georghiou, George E., 2016. "A generic transient PV system model for power quality studies," Renewable Energy, Elsevier, vol. 89(C), pages 526-542.
    4. Sam Weckx & Reinhilde D'hulst & Johan Driesen, 2015. "Locational Pricing to Mitigate Voltage Problems Caused by High PV Penetration," Energies, MDPI, vol. 8(5), pages 1-22, May.
    5. Yu Li & Masato Ishikawa, 2017. "An Efficient Reactive Power Control Method for Power Network Systems with Solar Photovoltaic Generators Using Sparse Optimization," Energies, MDPI, vol. 10(5), pages 1-14, May.
    6. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    7. Shivashankar Sukumar & Marayati Marsadek & Agileswari Ramasamy & Hazlie Mokhlis & Saad Mekhilef, 2017. "A Fuzzy-Based PI Controller for Power Management of a Grid-Connected PV-SOFC Hybrid System," Energies, MDPI, vol. 10(11), pages 1-17, October.
    8. Xenias, Dimitrios & Axon, Colin J. & Whitmarsh, Lorraine & Connor, Peter M. & Balta-Ozkan, Nazmiye & Spence, Alexa, 2015. "UK smart grid development: An expert assessment of the benefits, pitfalls and functions," Renewable Energy, Elsevier, vol. 81(C), pages 89-102.
    9. Mosadeghy, Mehdi & Yan, Ruifeng & Saha, Tapan Kumar, 2016. "Impact of PV penetration level on the capacity value of South Australian wind farms," Renewable Energy, Elsevier, vol. 85(C), pages 1135-1142.
    10. Williams, Trevor & Wang, Dan & Crawford, Curran & Djilali, Ned, 2013. "Integrating renewable energy using a smart distribution system: Potential of self-regulating demand response," Renewable Energy, Elsevier, vol. 52(C), pages 46-56.
    11. Yuqing Yang & Weige Zhang & Jiuchun Jiang & Mei Huang & Liyong Niu, 2015. "Optimal Scheduling of a Battery Energy Storage System with Electric Vehicles’ Auxiliary for a Distribution Network with Renewable Energy Integration," Energies, MDPI, vol. 8(10), pages 1-18, September.
    12. Simoes, Sofia & Zeyringer, Marianne & Mayr, Dieter & Huld, Thomas & Nijs, Wouter & Schmidt, Johannes, 2017. "Impact of different levels of geographical disaggregation of wind and PV electricity generation in large energy system models: A case study for Austria," Renewable Energy, Elsevier, vol. 105(C), pages 183-198.
    13. Hossain, M.S. & Madlool, N.A. & Rahim, N.A. & Selvaraj, J. & Pandey, A.K. & Khan, Abdul Faheem, 2016. "Role of smart grid in renewable energy: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1168-1184.
    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. Megan Culler & Hannah Burroughs, 2021. "Cybersecurity Considerations for Grid-Connected Batteries with Hardware Demonstrations," Energies, MDPI, vol. 14(11), pages 1-20, May.
    2. Jun Deng & Jun Suo & Jing Yang & Shutao Peng & Fangde Chi & Tong Wang, 2019. "Adaptive Damping Control Strategy of Wind Integrated Power System," Energies, MDPI, vol. 12(1), pages 1-18, January.

    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. Bartlett, Stuart & Dujardin, Jérôme & Kahl, Annelen & Kruyt, Bert & Manso, Pedro & Lehning, Michael, 2018. "Charting the course: A possible route to a fully renewable Swiss power system," Energy, Elsevier, vol. 163(C), pages 942-955.
    2. Su Su & Yong Hu & Tiantian Yang & Shidan Wang & Ziqi Liu & Xiangxiang Wei & Mingchao Xia & Yutaka Ota & Koji Yamashita, 2018. "Research on an Electric Vehicle Owner-Friendly Charging Strategy Using Photovoltaic Generation at Office Sites in Major Chinese Cities," Energies, MDPI, vol. 11(2), pages 1-19, February.
    3. Köktürk, G. & Tokuç, A., 2017. "Vision for wind energy with a smart grid in Izmir," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 332-345.
    4. Jiaxin Lu & Weijun Wang & Yingchao Zhang & Song Cheng, 2017. "Multi-Objective Optimal Design of Stand-Alone Hybrid Energy System Using Entropy Weight Method Based on HOMER," Energies, MDPI, vol. 10(10), pages 1-17, October.
    5. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    6. Sheng Li & Zhinong Wei & Yanan Ma, 2018. "Fuzzy Load-Shedding Strategy Considering Photovoltaic Output Fluctuation Characteristics and Static Voltage Stability," Energies, MDPI, vol. 11(4), pages 1-18, March.
    7. Nian Liu & Cheng Wang & Minyang Cheng & Jie Wang, 2016. "A Privacy-Preserving Distributed Optimal Scheduling for Interconnected Microgrids," Energies, MDPI, vol. 9(12), pages 1-18, December.
    8. Cheng, Biyi & Du, Jianjun & Yao, Yingxue, 2022. "Machine learning methods to assist structure design and optimization of Dual Darrieus Wind Turbines," Energy, Elsevier, vol. 244(PA).
    9. Quentin Perrier, 2017. "The French Nuclear Bet," Working Papers 2017.18, Fondazione Eni Enrico Mattei.
    10. Tan Yigitcanlar & Kevin C. Desouza & Luke Butler & Farnoosh Roozkhosh, 2020. "Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature," Energies, MDPI, vol. 13(6), pages 1-38, March.
    11. Khasanzoda, Nasrullo & Safaraliev, Murodbek & Zicmane, Inga & Beryozkina, Svetlana & Rahimov, Jamshed & Ahyoev, Javod, 2022. "Use of smart grid based wind resources in isolated power systems," Energy, Elsevier, vol. 253(C).
    12. Manish Mohanpurkar & Yusheng Luo & Danny Terlip & Fernando Dias & Kevin Harrison & Joshua Eichman & Rob Hovsapian & Jennifer Kurtz, 2017. "Electrolyzers Enhancing Flexibility in Electric Grids," Energies, MDPI, vol. 10(11), pages 1-17, November.
    13. Lovro Frković & Boris Ćosić & Tomislav Pukšec & Nikola Vladimir, 2023. "Modelling of the Standalone Onshore Charging Station: The Nexus between Offshore Renewables and All-Electric Ships," Energies, MDPI, vol. 16(15), pages 1-16, August.
    14. Christoph Schick & Nikolai Klempp & Kai Hufendiek, 2021. "Impact of Network Charge Design in an Energy System with Large Penetration of Renewables and High Prosumer Shares," Energies, MDPI, vol. 14(21), pages 1-26, October.
    15. Kolasa, Piotr & Janowski, Mirosław, 2017. "Study of possibilities to store energy virtually in a grid (VESS) with the use of smart metering," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1513-1517.
    16. Niina Helistö & Juha Kiviluoma & Hannele Holttinen & Jose Daniel Lara & Bri‐Mathias Hodge, 2019. "Including operational aspects in the planning of power systems with large amounts of variable generation: A review of modeling approaches," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(5), September.
    17. Zeyringer, Marianne & Fais, Birgit & Keppo, Ilkka & Price, James, 2018. "The potential of marine energy technologies in the UK – Evaluation from a systems perspective," Renewable Energy, Elsevier, vol. 115(C), pages 1281-1293.
    18. Müller, Jonas & Trutnevyte, Evelina, 2020. "Spatial projections of solar PV installations at subnational level: Accuracy testing of regression models," Applied Energy, Elsevier, vol. 265(C).
    19. Nicu Bizon & Mircea Raceanu & Emmanouel Koudoumas & Adriana Marinoiu & Emmanuel Karapidakis & Elena Carcadea, 2020. "Renewable/Fuel Cell Hybrid Power System Operation Using Two Search Controllers of the Optimal Power Needed on the DC Bus," Energies, MDPI, vol. 13(22), pages 1-26, November.
    20. Jannesar, Mohammad Rasol & Sedighi, Alireza & Savaghebi, Mehdi & Guerrero, Josep M., 2018. "Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration," Applied Energy, Elsevier, vol. 226(C), pages 957-966.

    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:11:y:2018:i:7:p:1730-:d:155714. 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.