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Intelligent Flow Algorithm for Online Reconfiguration of Distribution Systems: Comparison with GA
◎黄 錚・原 亮一・北 裕幸(北海道大学)
Reconfiguration is one of the most important operational schemes in power distribution systems, which can bring nearly minimization of energy loss, improvement in voltage profile and relieving overloads in the network. Reconfiguration is defined as the combinatorial optimization problem in mathematics, which is difficult to solve by the traditional linear or nonlinear optimization methods. The common approaches for this issue are application of meta-heuristic algorithms such as GA, EP, PSO, etc. However, most of meta-heuristic algorithms adopt iterative calculation which requires relatively long calculation time with instability. For the online reconfiguration, faster and stable searching method should be developed. The main advantage of this research is to propose a novel feeder reconfiguration technology, named as intelligent flow algorithm (IFA).