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GA-based optimization for integration of DGs, STATCOM and PHEVs in distribution systems

机译：基于遗传算法的配电系统中DG，STATCOM和PHEV集成的优化

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This paper presents a Genetic Algorithms (GAs) for integration of various types of Distributed Generations (DGs), Static Synchronous Compensator (STATCOM) and Plug-in-Hybrid Electric Vehicle (PHEVs) with different static load models (DSLMs) such as LM-1, LM-2, LM-3, LM-4 and LM-5, respectively in distribution systems from minimization of total real power loss of the system viewpoint. In this analysis, the system power factor taken as power system performances in various cases such as without DGs, with various types of DGs, integration of DGs and STATCOM, integration of DGs, STATCOM and PHEVs in distribution system with DSLMs. The proposed methodology has been tested for IEEE-37 bus distribution test system. This research work is very much useful for researchers, scientific, industrial, academicians and practitioners for whose are working in the fields of integration of renewable energy sources, FACTS controllers and PHEVs in distribution systems with DSLMs from minimization of total real power loss of the system viewpoint. This research work also is useful for practical implementations of integration of renewable energy sources, FACTS controllers and PHEVs in distribution systems with DSLMs for enhancement of different power system performances from minimization of total real power loss of the system viewpoint.
机译：本文提出了一种遗传算法（GA），用于将各种类型的分布式发电（DG），静态同步补偿器（STATCOM）和插电式混合动力电动汽车（PHEV）与不同的静态负荷模型（DSLM）（例如LM-从图1中的LM-2，LM-3，LM-4和LM-5分别从配电系统的总有功损耗最小化的角度出发。在此分析中，系统功率因数被视为在各种情况下的电力系统性能，例如不使用DG，使用各种类型的DG，将DG和STATCOM集成，将DG，STATCOM和PHEV集成在具有DSLM的配电系统中。所提出的方法已经过IEEE-37总线分配测试系统的测试。对于将可再生能源，FACTS控制器和PHEV集成到DSLM的配电系统中的研究领域的研究人员，科学，工业，院士和从业人员来说，这项研究工作非常有用，因为它们使系统的总实际功率损耗最小观点。这项研究工作对于将可再生能源，FACTS控制器和PHEV与DSLM集成在配电系统中的实际实现也很有用，从最小化系统的总实际功率损耗的角度来看，它们可以增强不同的电源系统性能。

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