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Efficient metaheuristic utopia-based multi-objective solutions of optimal battery-mix storage for microgrids
Faculty
Engineering
Year:
2021
Type of Publication:
ZU Hosted
Pages:
127038
Authors:
Hytham Saad Mohamed Ramadan
Staff Zu Site
Abstract In Staff Site
Journal:
Journal of Cleaner Production ELSEVIER
Volume:
303
Keywords :
Efficient metaheuristic utopia-based multi-objective solutions , optimal
Abstract:
The paper proposes four hybrid storage options: battery-supercapacitor, battery-flywheel, battery-pumped hydro storage, and battery-fuel cell. A probabilistic approach based on the artificial neural network is implemented to cover the weather uncertainty. The developed options and the approach are combined with comprehensive eco-techno-economic optimization study. Multi-objective optimization scenarios are investigated to reduce either/both total cost or/and greenhouse gas (GHG) emissions considering Utopia point approach. Two new hybrid particle swarm optimization - grasshopper optimization algorithm (PSO-GOA) methods are developed: GOA updated PSO and GOA initialized PSO algorithms. The effectiveness of the developed optimizers and the Utopia point approach are validated. Sensitivity analysis is performed to demonstrate the variable parameters that majorly influence the investment costs and GHG emissions. Through numerical simulations via Matlab™, PV modules rating power, number of wind turbines, and the load demand are the key factors that impact the eco-techno-economic at Qusair city, Egypt. Through the Utopia point solution, supercapacitor integrated battery demonstrates enhancements by 42.48% and 12.92% in the GHG and levelized cost of energy (LCOE) compared to the economic and environmental solutions. The salvage market fosters the hybrid flywheel and pump hydro storage integrated battery options by reducing the LCOE by 44% and 51%, respectively.
Author Related Publications
Hytham Saad Mohamed Ramadan, "Efficient and Sustainable Reconfiguration of Distribution Networks via Metaheuristic Optimization", IEEE, 2022
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Hytham Saad Mohamed Ramadan, "Efficient experimental energy management operating for FC/battery/SC vehicles via hybrid Artificial Neural Networks-Passivity Based Control", ELSEVIER, 2021
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Hytham Saad Mohamed Ramadan, "Hydrogen storage technologies for stationary and mobile applications: Review, analysis and perspectives", ELSEVIER, 2021
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Hytham Saad Mohamed Ramadan, "Optimal reconfiguration for vulnerable radial smart grids under uncertain operating conditions", ELSEVIER, 2021
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Hytham Saad Mohamed Ramadan, "Robust approach based chimp optimization algorithm for minimizing power loss of electrical distribution networks via allocating distributed generators", ELSEVIER, 2021
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Department Related Publications
Mahdy Mohamed Mahdy Mohamed Elareny, "Mahdi M. M. El - Arini Environmental Economic Dispatching Based on Artificial Networks", لايوجد, 1900
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Mahdy Mohamed Mahdy Mohamed Elareny, "Mahdi M. M. El - Arini An Efficient Second Order Fast Load Flow Method in Rectangular Coordinates", لايوجد, 1900
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Mahdy Mohamed Mahdy Mohamed Elareny, "Mahdi M. M. El - Arini An Efficient Reduced Order Controller for Inter - Connected Power Systems", لايوجد, 1900
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Mahdy Mohamed Mahdy Mohamed Elareny, "Mahdi M. M. El - Arini An Efficient Method for Alleviating Line Overloads and Voltage Violations by Corrective Active and Reactive Rescheduling", لايوجد, 1900
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Mahdy Mohamed Mahdy Mohamed Elareny, "Mahdi M. M. El - Arini Alleviation of Post Outaged Overloads by Line Switching", لايوجد, 1900
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