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

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  • 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.

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  • 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
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    References listed on IDEAS

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    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.
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    Cited by:

    1. 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.
    2. 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).
    3. 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.
    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.

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