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Resilient power distribution network reconfiguration under variant load scenarios
Faculty
Engineering
Year:
2023
Type of Publication:
ZU Hosted
Pages:
Authors:
Hytham Saad Mohamed Ramadan
Staff Zu Site
Abstract In Staff Site
Journal:
Computers and Electrical Engineering ELSEVIER
Volume:
Keywords :
Resilient power distribution network reconfiguration under
Abstract:
This paper addresses the applicability of a resilient reconfiguration of power distribution networks (PDNs) via inserting on-line tie switches (TSs) whenever necessary. Recent metaheuristic algorithms such as Arithmetic Optimization Algorithm and Marine Predators Algorithm are used to look for the best positions of inserting new TSs in the PDN. Two IEEE systems, namely the 33-bus and the 69-bus systems are considered. Simulations show that using three TSs is sufficient for the 33-bus system to handle doubled active and reactive power loads, while only two new TSs can raise the 69-bus systems’ capability when the loads are elevated by 85%. Static and day-ahead variant load scenarios are considered. Using the proposed approach, power losses (P ) reduction can reach 57.88% and the minimum voltage magnitude becomes 0.9838 p.u. for the 33-bus system (PQ 0.5 scenario). In day-ahead scenario, P can be reduced by 69% at peak hour, for both systems....
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, "Efficient metaheuristic utopia-based multi-objective solutions of optimal battery-mix storage for microgrids", 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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