基于母线排序的微电网优化重构

M. Venkata Kirthiga, S. Gurunathan, S. A. Daniel
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引用次数: 3

摘要

由于城市化和工业化,电力需求急剧增加,而发电设施却有限。本文尝试对分布式发电普及率分别为60%和100%的非自治微电网和自治微电网进行基于母线排序的重构。本文提出了改造方案,以改善系统的电压分布,降低实际配电损耗。基于负载能力对公交车进行排序,并利用遗传算法和粒子群优化技术对dg进行优化。用标准的33总线配电系统验证了所提出的重构算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal re-configuration of micro-grids based on ranking of buses
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.
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