Principle of stochastic optimization based on statistical estimation
Publish place: National Conference of Technology, Energy & Data on Electrical & Computer Engineering
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
TEDECE01_238
تاریخ نمایه سازی: 30 آبان 1394
Abstract:
This paper represents the principle of stochastic optimization and clarifies the rule of probability density function estimation in probabilistic optimization methods. Because of stochastic nature being in renewable energy power sources, during recent years, mentioned methods have frequently and effectively been applied and considered in several experimental sectors like renewable and hybrid power generation systems. Meanwhile, it describes and compares analytical, Monte Carlo simulation, point estimation and two-point estimation methods to estimate probability density functions. Several simulation results have been represented to clarify the offered concept. Finally, mentioned methods are implemented on a stochastic GA problem and the simulation results have been represented and compared.
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Authors
Alireza Bemani -N
Ferdowsi University of Mashhad Department of Electrical Engineering Mashhad, Iran.
Mohammad-R Akbarzadeh –T
Ferdowsi University of Mashhad Department of Electrical Engineering, Mashhad, Iran
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