文章基本信息

标题：An Efficient Novel TANAN’s Algorithm for Solving Economic Load Dispatch Problems
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作者：R.Subramanian ; K.Thanushkodi
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：3
页码：215-219
出版社：International Journal of Soft Computing & Engineering
摘要：The Economic Load Dispatch (ELD) problems in power generation systems is to reduce the fuel cost by reducing the total cost for the generation of electric power. This paper presents an efficient Novel TANAN’s Algorithm (NTA), for solving ELD Problem. The main objective is to minimize the total fuel cost of the generating units having quadratic cost characteristics subjected to limits on generator true power output and transmission losses and including valve point loading effects. The NTA is a simple numerical approach based on a parabolic TANAN function. This paper presents an application of NTA to ELD for different IEEE standard test systems. ELD is applied and compared with various optimization techniques. The simulation results show that the proposed algorithm outperforms previous optimization methods.
关键词：Economic;Load;dispatch;Evolutionary;Programming (EP); Genetic Algorithm (GA); Particle Swarm;Optimization (PSO); Taguchi Method(TM).