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Distribution power loss minimization via optimal sizing and placement of shunt capacitor and distributed generator with network reconfiguration
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Distribution power loss minimization via optimal sizing and placement of shunt capacitor and distributed generator with network reconfiguration
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Journal Article
Distribution power loss minimization via optimal sizing and placement of shunt capacitor and distributed generator with network reconfiguration
2021
Overview
[7] proposed a method developed which dependent on enhanced genetic algorithm for the determination of the optimal position of tie and sectionalizing switches, and to provide the network with optimal efficiency. [...]in this paper, the reconfiguration is applied using Newton Raphson (NR) method based on binary particle swarm optimization (BPSO) with three different cases of loads, constant and variable loads with regulation ratio (nominal load 100%, light load 50%, and heavy load 160%). Gauss-Seidel load flow solution tends to be useful in smaller systems, but as the system size increases, the computation time increases. [...]the fast decoupled load flow and the Newton Raphson methods are more common methods in large systems. Another study of the forward/backward methods (a popular power flow method applied to distribution systems) are capable of performing power flow analysis, however, it is limited to radial networks and does not have the ability to consider the influence of distributed generation, On the other hand, NR method typically can deal with any topology type (i.e. radial, weakly meshed and meshed) and can consider the influence of distributed generation, the formulation and origin of the NR approach has been dated back to the late 1960's [14].
Publisher
Ahmad Dahlan University
