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

Sebin Joseph, E. Skariah, T. Joseph, S. Sreedharan, V. C. Chittesh, P. Das, J. Vishnu
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引用次数: 6

Abstract

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.
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基于粒子群算法的风电光伏综合发电系统燃料电池优化配置控制算法
分布式发电机在世界范围内得到了广泛的应用,以满足不断增长的负荷需求。然而,分布式电源在电力系统中的集成和高度渗透带来了许多需要认真解决的问题。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,电网控制机构为维持电网稳定而限制了分布式发电机的渗透水平。本文试图通过优化电网参数,在集成分布式发电机的情况下,确定系统的最大安全负荷。本文利用粒子群算法对分布式能源进行优化配置,使系统的可负荷性最大化。通过研究电压分布、线路潮流和实际发电量等不同的系统参数,分析了PSO算法对优化积分的影响。采用牛顿·拉夫森潮流法和模态分析,对该方案在标准IEEE 14总线系统和220 kV喀拉拉邦电网实际测试系统上的应用进行了说明。结果表明:系统最大负荷百分比、分布式能源的最优位置和设置、最大安全母线负荷,超过该负荷系统将变得不稳定。
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