IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v139y2019icp468-482.html

Impact of hydrogen aqua electrolyzer-fuel cell units on automatic generation control of power systems with a new optimal fuzzy TIDF-II controller

Author

Listed:
  • Arya, Yogendra

Abstract

To circumvent equipment damage, load shedding and possible blackouts in electric power system, brisk acting energy storage units can excellently shrink the frequency and tie-line power oscillations generated due to small load perturbations. This paper investigates the impact of the energy storage hydrogen aqua electrolyzer (HAE)-fuel cell (FC) units on automatic generation control (AGC) of interconnected power systems. AGC plays the pivotal role in providing the electricity supply with good quality standards in the fast growing word of todays. For this, AGC entails highly proficient and intelligent control technique. Hence, a new fuzzy tilt integral derivative with filter plus double integral (FTIDF-II) controller is proposed for the first time in AGC field as an intelligent control technique to upgrade AGC performance of power systems with/without HAE-FC units. A recently appeared socio-politically influenced global search metaheuristic imperialist competitive algorithm (ICA) is used to tune the parameters of FTIDF-II controller. In FTIDF-II controller, asymmetrically membership functions (MFs) are employed, where MFs alongside zero provide fine-tuning and away from zero coarse-tuning. The efficacy of the control approach is critically analyzed on three 2-area power system models selected from the literature. The supremacy of FTIDF-II controller is established over FTIDF and existing PID/PIDF/TIDF/FPI/FPID/FPIDF/FPIDF-II structured controller optimized via various newly emerged optimization techniques. Investigation affirms that the dynamic performance of the systems with FTIDF-II controller improves further in the presence of HAE-FC units. Sensitivity analysis demonstrated that the proposed controller is robust and executes competently at variations in the system parameters and random load perturbations.

Suggested Citation

  • Arya, Yogendra, 2019. "Impact of hydrogen aqua electrolyzer-fuel cell units on automatic generation control of power systems with a new optimal fuzzy TIDF-II controller," Renewable Energy, Elsevier, vol. 139(C), pages 468-482.
    • Handle: RePEc:eee:renene:v:139:y:2019:i:c:p:468-482
    DOI: 10.1016/j.renene.2019.02.038
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148119301892
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2019.02.038?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Gharavi, H. & Ardehali, M.M. & Ghanbari-Tichi, S., 2015. "Imperial competitive algorithm optimization of fuzzy multi-objective design of a hybrid green power system with considerations for economics, reliability, and environmental emissions," Renewable Energy, Elsevier, vol. 78(C), pages 427-437.
    2. Arya, Yogendra, 2019. "AGC of PV-thermal and hydro-thermal power systems using CES and a new multi-stage FPIDF-(1+PI) controller," Renewable Energy, Elsevier, vol. 134(C), pages 796-806.
    3. Shankar, Ravi & Pradhan, S.R. & Chatterjee, Kalyan & Mandal, Rajasi, 2017. "A comprehensive state of the art literature survey on LFC mechanism for power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1185-1207.
    4. Athari, M.H. & Ardehali, M.M., 2016. "Operational performance of energy storage as function of electricity prices for on-grid hybrid renewable energy system by optimized fuzzy logic controller," Renewable Energy, Elsevier, vol. 85(C), pages 890-902.
    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. Chen, Shi & Li, Chuangzhi & Zang, Tianlei & Zhou, Buxiang & Yang, Lonjie & Qiu, Yiwei & Zhou, Yi & Zhang, Xiaoshun, 2024. "Multi-timescale dispatch technology for islanded energy system in the Gobi Desert," Renewable Energy, Elsevier, vol. 234(C).
    2. Gi-Ho Lee & Young-Jin Kim, 2022. "Frequency Regulation of an Islanded Microgrid Using Hydrogen Energy Storage Systems: A Data-Driven Control Approach," Energies, MDPI, vol. 15(23), pages 1-13, November.
    3. Latif, Abdul & Hussain, S.M. Suhail & Das, Dulal Chandra & Ustun, Taha Selim, 2020. "State-of-the-art of controllers and soft computing techniques for regulated load frequency management of single/multi-area traditional and renewable energy based power systems," Applied Energy, Elsevier, vol. 266(C).
    4. Xueqin Lü, & Wu, Yinbo & Lian, Jie & Zhang, Yangyang, 2021. "Energy management and optimization of PEMFC/battery mobile robot based on hybrid rule strategy and AMPSO," Renewable Energy, Elsevier, vol. 171(C), pages 881-901.
    5. Amil Daraz & Suheel Abdullah Malik & Athar Waseem & Ahmad Taher Azar & Ihsan Ul Haq & Zahid Ullah & Sheraz Aslam, 2021. "Automatic Generation Control of Multi-Source Interconnected Power System Using FOI-TD Controller," Energies, MDPI, vol. 14(18), pages 1-18, September.

    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. Lorestani, A. & Ardehali, M.M., 2018. "Optimization of autonomous combined heat and power system including PVT, WT, storages, and electric heat utilizing novel evolutionary particle swarm optimization algorithm," Renewable Energy, Elsevier, vol. 119(C), pages 490-503.
    2. Lorestani, A. & Ardehali, M.M., 2018. "Optimal integration of renewable energy sources for autonomous tri-generation combined cooling, heating and power system based on evolutionary particle swarm optimization algorithm," Energy, Elsevier, vol. 145(C), pages 839-855.
    3. Wang, Zhengchao & Perera, A.T.D., 2020. "Integrated platform to design robust energy internet," Applied Energy, Elsevier, vol. 269(C).
    4. Pujades, Estanislao & Orban, Philippe & Bodeux, Sarah & Archambeau, Pierre & Erpicum, Sébastien & Dassargues, Alain, 2017. "Underground pumped storage hydropower plants using open pit mines: How do groundwater exchanges influence the efficiency?," Applied Energy, Elsevier, vol. 190(C), pages 135-146.
    5. Duan, Fude & Bu, Xiongzhu, 2024. "Stochastic optimization of a hybrid photovoltaic/fuel cell/parking lot system incorporating cloud model," Renewable Energy, Elsevier, vol. 237(PC).
    6. Xu, Xiao & Hu, Weihao & Cao, Di & Liu, Wen & Huang, Qi & Hu, Yanting & Chen, Zhe, 2021. "Enhanced design of an offgrid PV-battery-methanation hybrid energy system for power/gas supply," Renewable Energy, Elsevier, vol. 167(C), pages 440-456.
    7. Ping-Huan Kuo & Chiou-Jye Huang, 2018. "A Green Energy Application in Energy Management Systems by an Artificial Intelligence-Based Solar Radiation Forecasting Model," Energies, MDPI, vol. 11(4), pages 1-15, April.
    8. Wolisz, Henryk & Schütz, Thomas & Blanke, Tobias & Hagenkamp, Markus & Kohrn, Markus & Wesseling, Mark & Müller, Dirk, 2017. "Cost optimal sizing of smart buildings' energy system components considering changing end-consumer electricity markets," Energy, Elsevier, vol. 137(C), pages 715-728.
    9. Daogang Peng & Yue Xu & Huirong Zhao, 2019. "Research on Intelligent Predictive AGC of a Thermal Power Unit Based on Control Performance Standards," Energies, MDPI, vol. 12(21), pages 1-23, October.
    10. Leonardo Peña-Pupo & Herminio Martínez-García & Encarna García-Vílchez & Ernesto Y. Fariñas-Wong & José R. Núñez-Álvarez, 2021. "Combined Method of Flow-Reduced Dump Load for Frequency Control of an Autonomous Micro-Hydropower in AC Microgrids," Energies, MDPI, vol. 14(23), pages 1-17, December.
    11. Akhlaque Ahmad Khan & Ahmad Faiz Minai & Rupendra Kumar Pachauri & Hasmat Malik, 2022. "Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review," Energies, MDPI, vol. 15(17), pages 1-29, August.
    12. Eleftherios Vlahakis & Leonidas Dritsas & George Halikias, 2019. "Distributed LQR Design for a Class of Large-Scale Multi-Area Power Systems," Energies, MDPI, vol. 12(14), pages 1-28, July.
    13. Lisa Gerlach & Thilo Bocklisch, 2021. "Experts versus Algorithms? Optimized Fuzzy Logic Energy Management of Autonomous PV Hybrid Systems with Battery and H 2 Storage," Energies, MDPI, vol. 14(6), pages 1-28, March.
    14. Ahmed. H. A. Elkasem & Salah Kamel & Mohamed H. Hassan & Mohamed Khamies & Emad M. Ahmed, 2022. "An Eagle Strategy Arithmetic Optimization Algorithm for Frequency Stability Enhancement Considering High Renewable Power Penetration and Time-Varying Load," Mathematics, MDPI, vol. 10(6), pages 1-38, March.
    15. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2022. "Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    16. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    17. Ashraf Khalil & Ang Swee Peng, 2018. "A New Method for Computing the Delay Margin for the Stability of Load Frequency Control Systems," Energies, MDPI, vol. 11(12), pages 1-18, December.
    18. Xueyang Zhang & Shengjun Huang & Qingxia Li & Rui Wang & Tao Zhang & Bo Guo, 2024. "Nodal Invulnerability Recovery Considering Power Generation Balance: A Bi-Objective Robust Optimization Framework," Mathematics, MDPI, vol. 12(12), pages 1-19, June.
    19. Davoudkhani, Iraj Faraji & Dejamkhooy, Abdolmajid & Nowdeh, Saber Arabi, 2023. "A novel cloud-based framework for optimal design of stand-alone hybrid renewable energy system considering uncertainty and battery aging," Applied Energy, Elsevier, vol. 344(C).
    20. Sinha, Sunanda & Chandel, S.S., 2015. "Review of recent trends in optimization techniques for solar photovoltaic–wind based hybrid energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 755-769.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:eee:renene:v:139:y:2019:i:c:p:468-482. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.