مشخصات پژوهش

صفحه نخست /LINE VOLTAGE THD OPTIMIZATION ...
عنوان
LINE VOLTAGE THD OPTIMIZATION USING CUCKOO OPTIMIZATION ALGORITHM BASED NEURAL NETWORK TRAINED WITH IMPERIALIST COMPETITION ALGORITHM
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
THD minimization of line voltage, multilevel inverter, cuckoo optimization algorithm, imperialist competition algorithm, neural networks
چکیده
MTHD of output line voltage waveform in multilevel inverters is discussed in this paper. With MTHD the DC link values are set to predefined values and also the optimum switching angles are found, in order to reduce voltage THD and simultaneously generate the aimed fundamental component. In this study a method is given to find the optimum solutions using COA associated with ANNs trained with ICA. The nearest solutions provided by COA obtain a smooth data set that is desired for the ANNs training. In this study minimization of THD for constant and alterable DC sources is presented. To present the validity of the proposed approach, simulation and experimental results are provided for a test case 7-level multilevel inverter.
پژوهشگران محمدرضا بنائی (نفر اول)، رحیم شمسی ورزقان (نفر دوم)، محمدرضا جنتی اسکوئی (نفر سوم)، بابک نیری (نفر چهارم)