Advanced controller design based on gain and phase margin for microgrid containing PV/WTG/Fuel cell/Electrolyzer/BESS

Yildirim, Burak

doi:10.1016/j.ijhydene.2020.08.185

Cited by 34 publications

(13 citation statements)

References 43 publications

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“…The performance of the controller under harsh conditions and oscillatory load changes in this scenario has been examined using a sinusoidal load change pattern. The sinusoidal load change pattern used in this scenario is modelled according to Equation (34) and shown in Figure 24a.…”

Section: Scenario 5: Fluctuations Of Renewable Energy Sourcesmentioning

confidence: 99%

“…Δ PD = 0.003 sin(2.6t ) + 0.005 sin(3.5t ) − 0.01 sin(4t ) (34) As the load variation is time-dependent, it can be considered as a suitable model for load uncertainty. Alongside load variations, the proposed controller should perform in such a way that the frequency oscillations have the least amplitude.…”

Section: Scenario 5: Fluctuations Of Renewable Energy Sourcesmentioning

confidence: 99%

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Robust self‐adaptive fuzzy controller for load‐frequency control of islanded airport microgrids considering electric aircraft energy storage and demand response

Shayeghi,

Davoudkhani,

Bizon

2024

IET Renewable Power Gen

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The rise of the renewable energy sources (RES) in microgrids has increased the impact of damping and low inertia on network stability. This gives rise to several issues in the power systems, including power fluctuations from variable RES, degradation of the frequency regulation, voltage surges, and oversupply from grid‐connected distributed generators. This paper presents a cascaded hybrid load‐frequency controller for an airport microgrid that addresses frequency fluctuations caused by load changes. It is combining a self‐adaptive fuzzy controller (SAF) and a classical two‐degree‐of‐freedom proportional integral derivative (PID) controller (2DOFPID) called CSAF‐2DOFPID. It is applied to the control section of a diesel generator, an electric aircraft energy storage system, and a demand response program. The controller parameters are optimized using a suggested hybrid differential artificial hummingbird algorithm (D‐AHA) to minimize frequency deviation. The proposed control framework is simulated on an airport microgrid comprising various components, and the impact of time delay on the controller's signals, system uncertainty is also examined. The simulation results demonstrate that the proposed self‐adaptive cascaded fuzzy controller outperforms other controllers such as PID, CF‐PID, and CF‐2DOFPID in reducing frequency fluctuations, and the D‐AHA algorithm achieves favourable results compared to other algorithms in the optimal tuning controller parameters.

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Section: Scenario 5: Fluctuations Of Renewable Energy Sourcesmentioning

confidence: 99%

Section: Scenario 5: Fluctuations Of Renewable Energy Sourcesmentioning

confidence: 99%

Robust self‐adaptive fuzzy controller for load‐frequency control of islanded airport microgrids considering electric aircraft energy storage and demand response

Shayeghi,

Davoudkhani,

Bizon

2024

IET Renewable Power Gen

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“…After that, we calculated the flow rate of hydrogen in (mol/sec) according to equation (6). Finally, use equation (7) to convert the hydrogen flow rate from (mol/s) to (N𝑚 3 /h). The result is obtained in Fig.…”

Section: Production Rate Of Hydrogen-powered By the Pv Systemmentioning

confidence: 99%

Optimal Design of Photovoltaic/Wind Turbine Systems for Producing Hydrogen Using a PEM Electrolyzer and MPPT Controller

Elbarbary

Awad²,

Omar

2022

Preprint

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The current trend is to use renewable energy such as solar energy and wind energy to produce hydrogen. It is necessary for us to make a comparison of the effect of each of these sources on hydrogen production, and which one is more efficient in different environmental variables. This paper studied and modeled two sources of renewable energy which are Photovoltaic (PV) and Wind Turbine (WT) to power Polymer Electrolyte Membrane Electrolyzer (PEMEL). By using MATLAB software, it is measured the input, and output power of PV and WT, the efficiency of the MPPT controller, and calculated the green hydrogen production rate and efficiency of each system separately. It is analyzed under variable irradiance from 600 to 1000 W/m2 for a PV system and fixed temperature equal to 25°C. While under variable wind speed from 10 to 14 m/s and zero fixed pitch angle for WT system. The results obtained that, the optimal power of WT to feed PEMEL is to be approximately two times PEMEL powered. Also, PV system is designed to be equal to PEMEL power. This study will be a reference for designing PV or WT to feed an electrolyzer.

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“…Presently, hydrogen is the most promising energy carrier due to its high theoretical heating value and low environmental impact. Excess renewable energy can be utilized by electrolyzers for hydrogen production, which can be converted back into electrical energy by fuel cells when the electrical energy cannot supply the demand of the user 3,4 . The reversible operation between electrolyzers and fuel cells enables effective energy storage and facilitates the wide application of renewable energy.…”

Section: Introductionmentioning

confidence: 99%

System level modeling and optimization of high temperature proton exchange membrane electrolyzer system considering recirculated hydrogen as carrier gas

Zhao

Guo

et al. 2022

Intl J of Energy Research

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Advanced controller design based on gain and phase margin for microgrid containing PV/WTG/Fuel cell/Electrolyzer/BESS

Cited by 34 publications

References 43 publications

Robust self‐adaptive fuzzy controller for load‐frequency control of islanded airport microgrids considering electric aircraft energy storage and demand response

Robust self‐adaptive fuzzy controller for load‐frequency control of islanded airport microgrids considering electric aircraft energy storage and demand response

Optimal Design of Photovoltaic/Wind Turbine Systems for Producing Hydrogen Using a PEM Electrolyzer and MPPT Controller

System level modeling and optimization of high temperature proton exchange membrane electrolyzer system considering recirculated hydrogen as carrier gas

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