عنوان	Voltage Regulation for Photovoltaics-Battery-Fuel Systems Using Adaptive Group Method of Data Handling Neural Networks (GMDH-NN)
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Adaptive Control , GMDH , Adaptive Learning , Energy Management , PV Panels , Solar energy , Machine Learning
چکیده	In this paper a new control system on basis of group method for data handling neural networks (GMDH-NNs) is designed for voltage and power regulation in the photovoltaic (PV)/Fuel/Battery systems. The dynamics of all subsystems are considered to be fully uncertain. The suggested GMDH-NN is learned using online tuning rules that are concluded through the robustness investigation. The challenging operation conditions such as variable unknown dynamics, unknown temperature and irradiation and suddenly changes in output load are taken into account and are handled by suggested control system. The superiority of the suggested method is shown by simulation in several scenarios and comparison with other techniques.
پژوهشگران	اردشیر محمدزاده (نفر دوم)، امیر موسوی (نفر چهارم)، Annamaria R. Varkonyi-Koczy (نفر پنجم)، Shahab S. Band (نفر اول)، Peter Csiba (نفر سوم)