IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i10p6183-d819269.html
   My bibliography  Save this article

Optimal Control of an Energy-Storage System in a Microgrid for Reducing Wind-Power Fluctuations

Author

Listed:
  • Rahmat Aazami

    (Department of Electrical Engineering, Ilam University, Ilam 69315-516, Iran)

  • Omid Heydari

    (Department of Electrical Engineering, Ilam University, Ilam 69315-516, Iran)

  • Jafar Tavoosi

    (Department of Electrical Engineering, Ilam University, Ilam 69315-516, Iran)

  • Mohammadamin Shirkhani

    (Department of Electrical Engineering, Ilam University, Ilam 69315-516, Iran)

  • Ardashir Mohammadzadeh

    (Department of Electrical Engineering, University of Bonab, Bonab 55517-61167, Iran)

  • Amir Mosavi

    (Faculty of Civil Engineering, Technische Universität Dresden, 01067 Dresden, Germany)

Abstract

In conventional low-voltage grids, energy-storage devices are mainly driven by final consumers to correct peak consumption or to protect against sources of short-term breaks. With the advent of microgrids and the development of energy-storage systems, the use of this equipment has steadily increased. Distributed generations (DGs), including wind-power plants as a renewable energy source, produces vacillator power due to the nature of variable wind. Microgrids have output power fluctuations, which can cause devastating effects such as frequency fluctuations. Storage can be used to fix this problem. In this paper, a grid-connected wind turbine and a photovoltaic system are investigated considering the atmospheric conditions and wind-speed variations, and a control method is proposed. The main purpose of this paper is to optimize the capacity of energy-storage devices to eliminate power fluctuations in the microgrid. Finally, the conclusion shows that, in microgrids with supercapacitors, the optimal capacity of microgrid supercapacitors is determined. This method of control, utilizing the combined energy-storage system of the battery supercapacitor, in addition to reducing the active power volatility of the wind turbine and photovoltaic generation systems, also considers the level of battery protection and reduction in reactive-power fluctuations. In the proposed control system, the DC link in the energy-storage systems is separate from most of the work conducted, which can increase the reliability of the whole system. The simulations of the studied system are performed in a MATLAB software environment.

Suggested Citation

  • Rahmat Aazami & Omid Heydari & Jafar Tavoosi & Mohammadamin Shirkhani & Ardashir Mohammadzadeh & Amir Mosavi, 2022. "Optimal Control of an Energy-Storage System in a Microgrid for Reducing Wind-Power Fluctuations," Sustainability, MDPI, vol. 14(10), pages 1-14, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6183-:d:819269
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/10/6183/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/10/6183/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rohama Ahmad & Ahmed Ali A. Mohamed & Hegazy Rezk & Mujahed Al-Dhaifallah, 2022. "DC Energy Hubs for Integration of Community DERs, EVs, and Subway Systems," Sustainability, MDPI, vol. 14(3), pages 1-18, January.
    2. Peng, Xiaokang & Liu, Zicheng & Jiang, Dong, 2021. "A review of multiphase energy conversion in wind power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    3. Haifeng Huang & Mohammadamin Shirkhani & Jafar Tavoosi & Omar Mahmoud, 2022. "A New Intelligent Dynamic Control Method for a Class of Stochastic Nonlinear Systems," Mathematics, MDPI, vol. 10(9), pages 1-15, April.
    4. Simon Wright & Mark Frost & Alfred Wong & Kevin A. Parton, 2022. "Australian Renewable-Energy Microgrids: A Humble Past, a Turbulent Present, a Propitious Future," Sustainability, MDPI, vol. 14(5), pages 1-19, February.
    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. Mahsa Dehghan Manshadi & Milad Mousavi & M. Soltani & Amir Mosavi & Levente Kovacs, 2022. "Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System," Energies, MDPI, vol. 15(24), pages 1-16, December.
    2. Md Tahmid Hussain & Adil Sarwar & Mohd Tariq & Shabana Urooj & Amal BaQais & Md. Alamgir Hossain, 2023. "An Evaluation of ANN Algorithm Performance for MPPT Energy Harvesting in Solar PV Systems," Sustainability, MDPI, vol. 15(14), pages 1-36, July.
    3. Fatemehsadat Mirshafiee & Emad Shahbazi & Mohadeseh Safi & Rituraj Rituraj, 2023. "Predicting Power and Hydrogen Generation of a Renewable Energy Converter Utilizing Data-Driven Methods: A Sustainable Smart Grid Case Study," Energies, MDPI, vol. 16(1), pages 1-20, January.
    4. Yude Yang & Huayi Fang & Lizhen Yang, 2023. "Predictive Analysis and Correction Control of CCT for a Power System Based on a Broad Learning System," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    5. Xin Xu & Ahmed Shaker & Marwa S. Salem, 2022. "Automatic Control of a Mobile Manipulator Robot Based on Type-2 Fuzzy Sliding Mode Technique," Mathematics, MDPI, vol. 10(20), pages 1-18, October.
    6. Ahmed Hussain Elmetwaly & Ramy Adel Younis & Abdelazeem Abdallah Abdelsalam & Ahmed Ibrahim Omar & Mohamed Metwally Mahmoud & Faisal Alsaif & Adel El-Shahat & Mohamed Attya Saad, 2023. "Modeling, Simulation, and Experimental Validation of a Novel MPPT for Hybrid Renewable Sources Integrated with UPQC: An Application of Jellyfish Search Optimizer," Sustainability, MDPI, vol. 15(6), pages 1-30, March.
    7. Lingqin Xia & Guang Chen & Tao Wu & Yu Gao & Ardashir Mohammadzadeh & Ebrahim Ghaderpour, 2022. "Optimal Intelligent Control for Doubly Fed Induction Generators," Mathematics, MDPI, vol. 11(1), pages 1-16, December.
    8. Chan Gu & Encheng Chi & Chujia Guo & Mostafa M. Salah & Ahmed Shaker, 2023. "A New Self-Tuning Deep Neuro-Sliding Mode Control for Multi-Machine Power System Stabilizer," Mathematics, MDPI, vol. 11(7), pages 1-18, March.
    9. Ye Wang & Zhaiaibai Ma & Mostafa M. Salah & Ahmed Shaker, 2023. "An Evolutionarily Based Type-2 Fuzzy-PID for Multi-Machine Power System Stabilization," Mathematics, MDPI, vol. 11(11), pages 1-18, May.
    10. Weijun Hu & Jiale Quan & Xianlong Ma & Mostafa M. Salah & Ahmed Shaker, 2023. "Analytical Design of Optimal Model Predictive Control and Its Application in Small-Scale Helicopters," Mathematics, MDPI, vol. 11(8), pages 1-15, April.
    11. Xinlan Guo & Mohammadamin Shirkhani & Emad M. Ahmed, 2022. "Machine-Learning-Based Improved Smith Predictive Control for MIMO Processes," Mathematics, MDPI, vol. 10(19), pages 1-19, October.

    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. Jiabao Gu & Hui Wang & Wuquan Li & Ben Niu, 2022. "Adaptive State-Feedback Stabilization for Stochastic Nonlinear Systems with Time-Varying Powers and Unknown Covariance," Mathematics, MDPI, vol. 10(16), pages 1-16, August.
    2. Yaqiong Ding & Hanguang Jia & Yunong Zhang & Binbin Qiu, 2023. "High-Order Modeling, Zeroing Dynamics Control, and Perturbations Rejection for Non-Linear Double-Holding Water Tank," Mathematics, MDPI, vol. 11(13), pages 1-18, July.
    3. Libo Yang & Mei Guo & Ardashir Mohammadzadeh & Amir Mosavi, 2022. "Taylor Series-Based Fuzzy Model Predictive Control for Wheeled Robots," Mathematics, MDPI, vol. 10(14), pages 1-13, July.
    4. Jingchao Liu & Lixue Mei & Akbar Maleki & Roghayeh Ghasempour & Fathollah Pourfayaz, 2021. "A Global Dynamic Harmony Search for Optimization of a Hybrid Photovoltaic-Battery Scheme: Impact of Type of Solar Panels," Sustainability, MDPI, vol. 14(1), pages 1-19, December.
    5. Milovancevic, Milos & Zandi, Yousef & Rahimi, Abouzar & Denić, Nebojša & Vujović, Vuk & Zlatković, Dragan & Ilic, Ivana D. & Stojanović, Jelena & Gavrilović, Snežana & Khadimallah, Mohamed Amine & Iva, 2022. "Engine performance fueled with jojoba biodiesel and enzymatic saccharification on the yield of glucose of microbial lipids biodiesel," Energy, Elsevier, vol. 239(PD).
    6. Pengye Wang & Zicheng Liu & Dong Jiang & Jie Tian & Peng Li, 2022. "Improved PWM Methods to Reduce the Common Mode Voltage of the Five-Phase Open-Winding Drive Topology," Energies, MDPI, vol. 15(17), pages 1-15, September.
    7. Guo, Nai-Zhi & Shi, Ke-Zhong & Li, Bo & Qi, Liang-Wen & Wu, Hong-Hui & Zhang, Zi-Liang & Xu, Jian-Zhong, 2022. "A physics-inspired neural network model for short-term wind power prediction considering wake effects," Energy, Elsevier, vol. 261(PA).
    8. Saeed Danyali & Omid Aghaei & Mohammadamin Shirkhani & Rahmat Aazami & Jafar Tavoosi & Ardashir Mohammadzadeh & Amir Mosavi, 2022. "A New Model Predictive Control Method for Buck-Boost Inverter-Based Photovoltaic Systems," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    9. Khanh Hieu Nguyen & Sung Hyun Kim, 2022. "Event-Triggered Non-PDC Filter Design of Fuzzy Markovian Jump Systems under Mismatch Phenomena," Mathematics, MDPI, vol. 10(16), pages 1-25, August.
    10. Chien, FengSheng & Ngo, Quang-Thanh & Hsu, Ching-Chi & Chau, Ka Yin & Mohsin, Muhammad, 2021. "Assessing the capacity of renewable power production for green energy system: a way forward towards zero carbon electrification," MPRA Paper 109667, University Library of Munich, Germany.
    11. Ye Wang & Zhaiaibai Ma & Mostafa M. Salah & Ahmed Shaker, 2023. "An Evolutionarily Based Type-2 Fuzzy-PID for Multi-Machine Power System Stabilization," Mathematics, MDPI, vol. 11(11), pages 1-18, May.
    12. Mounir Alliche & Redha Rebhi & Noureddine Kaid & Younes Menni & Houari Ameur & Mustafa Inc & Hijaz Ahmad & Giulio Lorenzini & Ayman A. Aly & Sayed K. Elagan & Bassem F. Felemban, 2021. "Estimation of the Wind Energy Potential in Various North Algerian Regions," Energies, MDPI, vol. 14(22), pages 1-13, November.
    13. Luis Fernando Grisales-Noreña & Oscar Danilo Montoya & Carlos Andres Ramos-Paja, 2022. "Optimal Location and Operation of PV Sources in DC Grids to Reduce Annual Operating Costs While Considering Variable Power Demand and Generation," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    14. Ruitao Wang & Hui Wang & Wuquan Li & Ben Niu, 2022. "Output Tracking Control of Random Nonlinear Time-Varying Systems," Mathematics, MDPI, vol. 10(14), pages 1-13, July.
    15. Ba, Zhichao & Meng, Kai & Ma, Yaxue & Xia, Yikun, 2024. "Discovering technological opportunities by identifying dynamic structure-coupling patterns and lead-lag distance between science and technology," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    16. Hu, Wenyu & E, Jiaqiang & Zhang, Feng & Chen, Jingwei & Ma, Yinjie & Leng, Erwei, 2022. "Investigation on cooperative mechanism between convective wind energy harvesting and dust collection during vehicle driving on the highway," Energy, Elsevier, vol. 260(C).
    17. Liu, Yun & Heidari, Ali Asghar & Ye, Xiaojia & Liang, Guoxi & Chen, Huiling & He, Caitou, 2021. "Boosting slime mould algorithm for parameter identification of photovoltaic models," Energy, Elsevier, vol. 234(C).
    18. Ying-Che Hung & Chien-Hua Ho & Liang-Yü Chen & Shih-Chieh Ma & Te-I Liu & Yi-Chen Shen, 2023. "Using a Low-Temperature Pyrolysis Device for Polymeric Waste to Implement a Distributed Energy System," Sustainability, MDPI, vol. 15(2), pages 1-15, January.
    19. Sabrina Yeasmin & Tushar Kanti Roy & Subarto Kumar Ghosh, 2022. "Design of Robust Integral Terminal Sliding Mode Controllers with Exponential Reaching Laws for Solar PV and BESS-Based DC Microgrids with Uncertainties," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    20. Weijun Hu & Jiale Quan & Xianlong Ma & Mostafa M. Salah & Ahmed Shaker, 2023. "Analytical Design of Optimal Model Predictive Control and Its Application in Small-Scale Helicopters," Mathematics, MDPI, vol. 11(8), pages 1-15, April.

    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:jsusta:v:14:y:2022:i:10:p:6183-:d:819269. 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.