基于粒子群算法的PV穿透最优控制

V. C. Chittesh, S. Sreedharan, T. Joseph, P. Das, Sebin Joseph, J. Vishnu
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引用次数: 1

摘要

最近的研究表明,从中期和长期来看,分布式太阳能光伏发电机(SPVG)将在商业上变得非常有吸引力,以至于可以在世界许多地方看到这种类型的大规模实施。可再生能源容量的增加将引起电力系统的稳定性和安全性问题。采用了一种有效的方法来找出可再生能源的最大允许渗透,这里是太阳能光伏能源。采用IEEE 14总线动态模型进行渗透分析。提出了一种基于粒子群算法的最优位置和最优位置的最大穿透量求解算法。结果表明,系统的最大渗透率、SPVG的最佳位置和设置、最大安全总线负载,超过该负载系统将变得不稳定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PSO based optimal control for maximizing PV penetration
Recent studies suggest that in medium and long terms, distributed solar photo-voltaic generator (SPVG) will become commercially so attractive that large-scale implementation of this type can be seen in many parts of the world. The increase in the amount of renewable energy will cause stability and security issues in power system. An effective method is used to find out the maximum allowable penetration of renewable energy, in this case Solar PV energy. IEEE 14 bus dynamic model is considered for conducting penetration analysis. Particle swarm optimization (PSO) based algorithm to find the optimal location and maximum penetration at the optimal location is proposed in this paper. Results present the maximum system penetration, optimal location and setting of SPVG, maximum safe bus loading beyond which system becomes unstable.
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