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PSO based controller algorithm for optimal allocation setting of fuel cell in a wind — PV integrated power system for maximizing loadability

机译:基于PSO的控制器算法,用于在风中优化燃料电池的分配和设置-光伏综合发电系统,可最大程度地提高负载

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Distributed Generators are gaining widespread applications around the world to facilitate the need for expanding generation capacity to meet the increasing load demand. However the integration and high penetration of distributed generations into the power system poses many issues that need to be addressed carefully. The main limiting factors for synchronous operation of distributed generators are voltage and angle instability and grid control authorities are limiting the distributed generator penetration level for maintaining grid stability. This paper attempts to identify the maximum safe system loading, with the integration of distributed generators, by the optimization of grid parameters. In this paper, optimal placement & setting of distributed energy resources (DER) is formulated so as to maximize the system loadability using PSO. The impact of optimal integration using PSO algorithm has been analyzed by studying different system parameters like voltage profile, line flows and real power generation. The application of the scheme is illustrated on a standard IEEE 14-bus system and 220 kV Kerala Grid Practical test system using Newton Raphson power flow method and modal analysis. Results presents the maximum system loadability in percentage, optimal location and setting of distributed energy resources, maximum safe bus loading beyond which system becomes unstable.
机译:分布式发电机在世界范围内得到了广泛的应用,以促进扩大发电量以满足不断增长的负荷需求的需求。然而,分布式发电系统的集成和高渗透率带来了许多问题,需要仔细解决。分布式发电机同步运行的主要限制因素是电压和角度不稳定性,并且电网控制机构限制了分​​布式发电机的渗透水平,以维持电网的稳定性。本文试图通过优化电网参数,通过分布式发电机的集成来确定最大的安全系统负荷。在本文中,制定了分布式能源的最佳布置和设置(DER),以便使用PSO最大化系统负载能力。通过研究不同的系统参数(如电压曲线,线路流量和实际发电量),已分析了使用PSO算法进行最佳集成的影响。该方案的应用在标准的IEEE 14总线系统和220 kV喀拉拉邦电网实用测试系统上进行了说明,该系统使用牛顿拉夫森潮流方法和模态分析。结果以百分比表示最大的系统可负载性,分布式能源的最佳位置和设置,最大的安全总线负载,超过此负载系统将变得不稳定。

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