Parametric Performance Evaluation of Different Types of Particle Swarm Optimization Techniques Applied in Distributed Generation System
作者： S. Kumar , S. Sau , D. Pal , B. Tudu , K. K. Mandal
DOI: 10.1007/978-3-642-35314-7_40
关键词:
摘要: This paper presents performance comparative study of various particle swarm optimization (PSO) techniques for the placement generator units in distributed generation (DG) system. For installation system, it is very important to know sizing and its network system reducing line losses hence cost. Various PSO such as Canonical PSO, Hierarchical (HPSO), Time varying acceleration coefficient (TVAC) Self-organizing hierarchical optimizer with time-varying coefficients (HPSO-TVAC), Stochastic inertia weight (Sto-IW) (TVIW) have been used study. Here main objective function (OF) minimize These tested on standard IEEE-14 bus, IEEE-30 bus IEEE-57 by use MATLAB software.
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