基于粒子群算法的FACTS控制器调优以实现风电在电力系统中的最大渗透

S. Sreedharan, W. Ongsakul, J. G. Singh, K. Buayai, I. M. Wartana
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引用次数: 10

摘要

本文提出了一种通过柔性交流输电系统(FACTS)控制器的优化布置和设置来实现瞬时风穿透量最大的新方法。为了实现最大风透度,采用了多个单一类型的FACTS控制器即SVC。提出了一种基于粒子群优化的算法,通过调整网格参数和FACTS控制器的设置来获得最大的瞬时穿透。该算法已在改进的IEEE 14总线测试系统上进行了测试。结果明确地表明,最大瞬时风能渗透百分比限制、FACTS控制器的最佳设置以及最大安全母线负载点,超过该负载点系统将进入不稳定状态。
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PSO based tuning of FACTS controllers for maximizing the wind energy penetration in power systems
In this paper, a new methodology has been proposed for attaining the maximum instantaneous wind penetration by the optimal placement and setting of Flexible AC Transmission System (FACTS) controllers. Multiple of single type of FACTS controller namely SVC have been used for achieving the maximum wind penetration. Particle Swarm Optimization (PSO) based algorithm has been developed to obtain the maximum instantaneous penetration by adjusting the grid parameters and FACTS controller settings. The developed algorithm has been tested on modified IEEE 14-bus test system. The results have shown the maximum instantaneous wind energy penetration limit in percentage, optimal setting of FACTS controllers and also maximum safe bus loading point explicitly beyond which system drives into instability.
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