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Optimal re-configuration of micro-grids based on ranking of buses

机译:基于公共汽车排名的微网最佳重新配置

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Owing to urbanization and industrialization, there has been a steep increase in the electric power demand on contrary to the limited power generation facilities. This paper has attempted re-configuration of non-autonomous and autonomous micro-grids based on ranking of buses, formed with 60% and 100% penetration of the distributed generation respectively. Reconfiguration has been suggested in this work as a measure to improve the voltage profile of the system and to reduce the real power distribution losses. MATLAB code has been developed for ranking of buses based on loading capability and for optimal sizing of the DGs using Genetic algorithm and Particle Swarm Optimization techniques. The standard 33 bus distribution system has been used to validate the proposed reconfiguration algorithm.
机译:由于城市化和工业化,电力需求与有限发电设施相反,急剧增加。本文试图根据公共汽车的排名重新配置非自主和自主微网,分别形成为分布生成的60%和100%渗透。在这项工作中提出了重新配置作为改善系统电压曲线并降低实际配电损耗的措施。 MATLAB代码已经开发用于基于加载能力的总线排列,并使用遗传算法和粒子群优化技术的DGS的最佳尺寸。标准33总线分配系统已被用于验证所提出的重新配置算法。

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