Minimal Loss Configuration for Large-Scale Radial Distribution Systems using Adaptive Genetic Algorithms
نویسنده
چکیده
This paper presents a new method for reconfiguration of radial distribution systems for minimisation of real power loss using Adaptive Genetic Algorithm without involving any additional cost for the installation of tap changing transformers, capacitors and concerned switching equipments. The initial population for Genetic Algorithm is created using a heuristic approach and the genetic operators are adapted with the help of graph theory to generate feasible radial topologies throughout the evolutionary process. This avoids tedious mesh checks and thus reduces the computational burden. The effectiveness of the proposed method is demonstrated on three different test distribution systems. The application results show that the proposed method is efficient and promising for minimisation of real power loss of radial distribution systems. KeywordsDistribution Systems, Genetic Algorithm, Real Power Loss, Reconfiguration
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