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Robust approach based chimp optimization algorithm for minimizing power loss of electrical distribution networks via allocating distributed generators
Faculty
Engineering
Year:
2021
Type of Publication:
ZU Hosted
Pages:
101359
Authors:
Hytham Saad Mohamed Ramadan
Staff Zu Site
Abstract In Staff Site
Journal:
Sustainable Energy Technologies and Assessments ELSEVIER
Volume:
47
Keywords :
Robust approach based chimp optimization algorithm
Abstract:
Integrating distributed generators (DGs) in radial distribution networks plays a vital role in improving the system performance via enhancing the bus voltage and minimizing the system losses. Nonetheless, uncoordinated DGs integration may cause technical issues if they are not efficiently planned, controlled, and operated. Therefore, this paper proposes a new methodology based on the recent metaheuristic chimp optimizer approach (CO) to identify DGs’ optimal allocations and rated powers. This work's objective function is minimizing the total active power loss of the network; the considered constraints are load flow, buses’ voltages, and transmission lines. The proposed CO is characterized by ease of implementation, high convergence rate, and avoiding stuck in local optima. CO is adapted such that the first design variables are integer numbers representing the locations of DGs while the others are assigned to be the DGs’ powers. The proposed CO is applied on three radial networks, 33-bus, 69-bus, and 119-bus, moreover two modes of DGs, unity power factor (DGs generate only active power) and non-unity power factor (DGs generate active and reactive powers), are studied. The results obtained via the proposed CO are compared to other reported approaches of exhaustive load flow (ELF), genetic algorithm (GA), and different programmed approaches of particle swarm optimizer (PSO) and Archimedes optimization algorithm (AOA). The obtained results confirmed the superiority and reliability of the proposed CO methodology in achieving a minor power loss via installing the DGs in the correct sites.
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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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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