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Consolidation of LVFRT capabilities of microgrids using energy storage devices
Faculty
Engineering
Year:
2023
Type of Publication:
ZU Hosted
Pages:
Authors:
Enas Ahmed Mohamed Abdelhay
Staff Zu Site
Abstract In Staff Site
Journal:
Scientific Reports Springer
Volume:
Keywords :
Consolidation , LVFRT capabilities , microgrids using energy
Abstract:
The performance and dependability of distribution networks may be enhanced by the incorporation of microgrids (MGs). However, it is necessary to enhance low voltage fault-ride-through (LVFRT), which has the capacity to prevent abrupt grid disconnections during LV occurrences under problematic circumstances. In this study, a control strategy for energy storage elements (ESDs) which includes batteries and supercapacitors is proposed to enhance LVFRT under balanced and unbalanced faults. The MG comprises wind farms and/or photovoltaic arrays. Based on the dynamic simulations using MATLAB/SIMULINK, the ESDs can enhance LVFRT capability. A comparison of the conventional crowbar scheme and ESDs is realized, and the latter has a better performance than the former in retaining the DC-link voltage within satisfactory bounds. For the purpose of maintaining the DC-link voltage at a reference level, the battery stores extra power in the DC-bus of three systems. LVFRT is improved by the crowbar circuit, however the resistance consumes the extra power. Super capacitors (SCs) prevent DC voltage fluctuations, reduce active power oscillations, and hasten system stabilization when present. At an advanced stage of this effort, the coot bird optimizer (CBO) is applied to generate the best gains of bi-directional converter PI-controller and the ESDs ratings to have minimum ripples in the DC-bus voltage and to boost the LVFRT capability of the MGs. The viability of the proposed method based on the CBO’s results is indicated with further validations under different operating scenarios.
Author Related Publications
Enas Ahmed Mohamed Abdelhay, "Recent Maximum Power Point Tracking Methods for Wind Energy Conversion System", Elsevier, 2024
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Enas Ahmed Mohamed Abdelhay, "Steady-state and dynamic models of solid oxide fuel cells based on Satin Bowerbird Optimizer", Elsevier, 2018
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Enas Ahmed Mohamed Abdelhay, "Improved performance of PEM fuel cells stack feeding switched reluctance motor using multi-objective dragonfly optimizer", springer, 2019
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Enas Ahmed Mohamed Abdelhay, "Effective control strategy based-on MPPT for stand-alone wind-driven PMSG with zero-current switching boost converter", Taylor and Francis, 2018
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Enas Ahmed Mohamed Abdelhay, "Optimal Operating Parameters For Torque Ripple Minimization In Switched Reluctance Motors Based On Genetic Algorithms", Politehnica Publishing, 2009
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Department Related Publications
Raef Seam Sayed Ahmed, "Model predictive control algorithm for fault ride-through of stand-alone microgrid inverter", Elsevier Ltd., 2021
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Enas Ahmed Mohamed Abdelhay, "Recent Maximum Power Point Tracking Methods for Wind Energy Conversion System", Elsevier, 2024
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Raef Seam Sayed Ahmed, "Optimal design and analysis of DC–DC converter with maximum power controller for stand-alone PV system", Elsevier Ltd., 2021
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Raef Seam Sayed Ahmed, "Parameters identification and optimization of photovoltaic panels under real conditions using Lambert W-function", Elsevier Ltd., 2021
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Attia Abdelaziz Hussien Ali, "Artificial ecosystem-based optimiser to electrically characterise PV generating systems under various operating conditions reinforced by experimental validations", Wiley, 2021
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