DYNAMIC RECONFIGURATION USING ADAPTIVE QUANTUM PARTICLE SWARM OPTIMISATION ALGORITHM
DESIGN DETAILS
This Matlab design aims at obtaining the optimal configuration of the real-time distribution network when the initial topological structure is dynamically changed. To meet the subject, a dynamic reconfiguration technique is approached by applying an adaptive quantum particle swarm optimization (AQPSO) algorithm, where the dynamic topology analysis and network reconfiguration are effectively combined. The method is tested on IEEE 33 Bus System considering without fault. Using Matlab 2020a version.
REFERENCES
Reference Paper-1: Dynamic Reconfiguration of Distribution Networks Considering the Real-Time Topology Variation
Author’s Name: Juan Wen, Yanghong Tan, Lin Jiang and Kejun Lei
Source: IET
Year: 2017
DOWNLOAD the Matlab code from the below URL, and specify the Website URL or Title of the design.
https://drive.google.com/file/d/150k_cJRUdtYOGpGLnwk6CEXeM8T0zbs9/view?usp=sharing
SIMULATION VIDEO DEMO
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